Publication

• International Journal

[167] H. J. Kim, S. J. Yoo, "Disturbance observer-based adaptive chainlike filter approach for prescribed-time consensus tracking of nonlinear multiagent systems via dynamic state and input triggering," IEEE Trans. Cybernetics, vol. 55, No. 8, pp. 4001-4014, Aug. 2025.

[166] S. J. Yoo, "Adaptive free-will arbitrary time tracking of a class of uncertain SISO nonlinear systems," International Journal of Robust and Nonlinear Control, vol. 35, pp. 800-814, Feb. 2025.

[165] H. J. Kim, S. J. Yoo, "Adaptive neural tracking of uncertain state-constrained nonlinear systems with unmatched disturbances: prescribed-time disturbance observer approach," IEEE Trans. Systems, Man, and Cybernetics: Systems, vol. 55, No. 2, pp. 1439-1450, Feb. 2025.

[164] S. J. Yoo, B. S. Park, "Prescribed-time adaptive state observer approach for distributed output-feedback formation tracking of networked uncertain underactuated surface vehicles," Nonlinear Dynamics,  vol. 113, pp. 681-696, Jan. 2025.

[163] S. G. Jang, S. J. Yoo, "Filter-based average dwell-time tuning approach for adaptive prescribed-time tracking of uncertain switched nonlinear systems," International Journal of Robust and Nonlinear Control, vol. 35, pp. 536-555, Jan. 2025.

[162] S. J. Yoo, B. S. Park, "Dynamic event-triggered prescribed-time consensus tracking of nonlinear time-delay multiagent systems by output feedback," Fractal and Fractional, vol. 8, 545, Sep. 2024.

[161] B. S. Park, S. J. Yoo, "Distributed avoidance-accommodating flexible performance approach for adaptive formation tracking of underactuated surface vehicles against moving obstacles," Ocean Engineering, vol. 306, 118004, Aug. 2024.

[160] S. G. Jang, S. J. Yoo, "Quantization-based distributed design strategy for adaptive consensus tracking of asynchronously switched nonlinear multiagent systems," Nonlinear Analysis: Hybrid Systems,  vol. 53, 101488, Aug. 2024.

[159] H. J. Kim, S. J. Yoo, "Adaptive fixed-time containment control of MIMO nonlinear multiagent systems via dynamic event-triggered communication," Nonlinear Dynamics,  vol. 112, pp. 11127-11145, Jul. 2024.

[158] B. S. Park, S. J. Yoo, "Resilient adaptive multi-robot formation tracking for achieving guaranteed dynamic obstacle avoidance within limited inter-agent communication ranges," IEEE Access, vol. 12, pp. 94393-94406, Jul. 2024.

[157] S. J. Yoo, B. S. Park, "Distributed adaptive formation tracking for a class of uncertain nonlinear multiagent systems: guaranteed connectivity under moving obstacles," IEEE Trans. Cybernetics, vol. 54, No. 6, pp. 3431-3443, Jun. 2024.

[156] S. J. Yoo, B. S. Park, "Adaptive flexible performance function approach for dynamic obstacle avoidance to distributed formation tracking of range-constrained switched nonlinear multiagent systems," International Journal of Robust and Nonlinear Control, vol. 34, pp. 4864-4880, May 2024.

[155] B. S. Park, S. J. Yoo, "Time-varying formation control with moving obstacle avoidance for input-saturated quadrotors with external disturbances," IEEE Trans. Systems, Man, and Cybernetics: Systems, vol. 54, No. 5, pp. 3270-3282, May 2024.

[154] S. J. Yoo, B. S. Park, "Quantized-output-feedback practical prescribed-time design strategy for decentralized tracking of a class of interconnected nonlinear systems with unknown interaction delays," ISA Transactions, vol. 147, pp. 202-214, Apr. 2024.

[153] S. J. Yoo, B. S. Park, "Adaptive practical prescribed-time formation tracking of networked nonlinear multiagent systems with quantized inter-agent communication," Communications in Nonlinear Science and Numerical Simulation, vol. 129, 107697, Feb. 2024.

[152] H. J. Kim, S. J. Yoo, "Adaptive fixed-time containment control of uncertain underactuated underwater vehicles under dynamic event-driven mechanism," Ocean Engineering, vol. 291, 116488, Jan. 2024.

[151] B. S. Park, S. J. Yoo, "Collision-free flexible performance tracking control against moving obstacles for underactuated surface vehicles with model uncertainty and input saturation," Ocean Engineering, vol. 288, 115968, Nov. 2023.

[150] Y. H. Choi, S. J. Yoo, “Quantized-state-based decentralized neural network control of a class of uncertain interconnected nonlinear systems with input and interaction time delays," Engineering Applications of Artificial Intelligence, vol. 125, 106759, Oct. 2023.

[149] S. G. Jang, S. J. Yoo, “Predefined-time-synchronized backstepping control of strict-feedback nonlinear systems," International Journal of Robust and Nonlinear Control, vol. 33, pp. 7563-7582, Sep. 2023.

[148] S. J. Yoo, “Distributed event-triggered output-feedback synchronized tracking with connectivity-preserving performance guarantee for nonstrict-feedback nonlinear multiagent systems," Information Science, vol. 624, pp. 451-466, May 2023.

[147] B. S. Park, S. J. Yoo, "State-transformation-based recursive design strategy for leader-follower safety formation control of uncertain multiple quadrotors," IEEE Access, vol. 11, pp. 43499-43510, May 2023.

[146] S. J. Yoo, B. S. Park, "Distributed dynamic obstacle avoidance design to connectivity-preserving formation control of uncertain underactuated surface vehicles under a directed network," Ocean Engineering, vol. 273, 113872, Apr. 2023.

[145] S. J. Yoo, B. S. Park, "Approximation-free design for distributed formation tracking of networked uncertain underactuated surface vessels under fully-quantized environment," Nonlinear Dynamics, vol. 111, pp. 6411-6430, Apr. 2023.

[144] H. J. Kim, S. J. Yoo, "Dynamic event-triggered communication-based adaptive consensus tracking of uncertain nonlinear multiagent systems in pure-feedback form," IEEE Access, vol. 11, pp. 21092-21103, Mar. 2023.

[143] S. J. Yoo, B. S. Park, "Distributed adaptive formation tracking using quantized feedback communication for networked mobile robots with unknown wheel slippage," Nonlinear Analysis: Hybrid Systems, vol. 47, 101294, Feb. 2023.

[142] S. J. Yoo, “Adaptive-observer-based consensus tracking with fault-tolerant network connectivity of uncertain time-delay nonlinear multiagent systems with actuator and communication faults", ISA Transactions, vol. 133, pp. 317-327, Feb. 2023.

[141] B. M. Kim, S. J. Yoo, “Distributed containment control of networked uncertain MIMO pure-feedback nonlinear systems via quantized state feedback and communication”, International Journal of Robust and Nonlinear Control, vol. 32, 10029-10051, Dec. 2022.

[140] S. J. Yoo, B. S. Park, “A universal error transformation strategy for distributed event-triggered formation tracking of pure-feedback nonlinear multiagent systems with communication and avoidance ranges”, Applied Mathematics and Computation, vol. 433, 127412, Nov. 2022.

[139] S. J. Yoo, B. S. Park, “Distributed quantized state feedback strategy for ensuring predesignated formation tracking performance of networked uncertain nonholonomic multi-robot systems with quantized communication”, Expert Systems With Applications, vol. 2012, 116987, Sep. 2022.

[138] B. S. Park, S. J. Yoo, “Quantized-communication-based neural network control for formation tracking of networked multiple unmanned surface vehicles without velocity information”, Engineering Applications of Artificial Intelligence, vol. 114, 105160, Sep. 2022.

[137] Y. H. Choi, S. J. Yoo, “Neural-network-based distributed asynchronous event-triggered consensus tracking of a class of uncertain nonlinear multi-agent systems”, IEEE Trans. Neural Networks and Learning Systems, vol. 33, no. 7, pp. 2965-2979, Jul. 2022.

[136] Y. H. Choi, S. J. Yoo, “Distributed quantized feedback design strategy for adaptive consensus tracking of uncertain strict-feedback nonlinear multiagent systems with state quantizers”, IEEE Trans. Cybernetics, vol. 52, no. 7, pp. 7069-7083, Jul. 2022.

[135] S. G. Jang, S. J. Yoo, “Quantized-state-feedback-based neural control for a class of switched nonlinear systems with unknown control directions”, IEEE Access, vol. 10, pp. 78384-78397, Jul. 2022.

[134] J. H. Kim, S. J. Yoo, “Distributed event-triggered adaptive output-feedback formation tracking of uncertain underactuated underwater vehicles in three-dimensional space”, Applied Mathematics and Computation, vol. 424, 127046, Jul. 2022.

[133] B. M. Kim, S. J. Yoo, “Adaptive neural control of uncertain MIMO nonlinear pure-feedback systems via quantized state feedback”, IEEE Access, vol. 10, pp. 38729-38741, Apr. 2022.

[132] B. S. Park, S. J. Yoo, “Robust trajectory tracking with adjustable performance of underactuated surface vessels via quantized state feedback”, Ocean Engineering, vol. 246, 110475, Feb. 2022.

[131] S. J. Yoo, B. S. Park, “Quantized-states-based adaptive control against unknown slippage effects of uncertain mobile robots with input and state quantization”, Nonlinear Analysis: Hybrid Systems, vol. 42, 101077, Nov. 2021.

[130] S. J. Yoo, B. S. Park, “Quantized feedback control strategy for tracking performance guarantee of nonholonomic mobile robots with uncertain nonlinear dynamics”, Applied Mathematics and Computation, vol. 407, 126349, Oct. 2021.

[129] D. M. Jeong, S. J. Yoo, “Adaptive event-triggered tracking using nonlinear disturbance observer of arbitrarily switched uncertain nonlinear systems in pure-feedback form”, Applied Mathematics and Computation, vol. 407, 126335, Oct. 2021.

[128] B. S. Park, S. J. Yoo, “Adaptive secure control for leader-follower formation of nonholonomic mobile robots in the presence of uncertainty and deception attacks”, Mathematics, vol. 9, 2190, Sep. 2021.

[127] Y. H. Choi, S. J. Yoo, “Distributed containment control of MIMO pure-feedback multiagent systems using filter-driven-approximation approach”, IEEE Trans. Systems, Man, and Cybernetics: Systems, vol. 51, no. 9, pp. 5490-5502, Sep. 2021.

[126] J. H. Kim, S. J. Yoo, “Distributed event-driven adaptive three-dimensional formation tracking of networked autonomous underwater vehicles with unknown nonlinearities”. Ocean Engineering, vol. 233, 109069, Aug. 2021.

[125] B. S. Park, S. J. Yoo, “Connectivity-maintaining obstacle avoidance approach for leader-follower formation tracking of uncertain multiple nonholonomic mobile robots”, Expert Systems With Applications, vol. 171, 114589, Jun. 2021.

[124] S. J. Yoo, “Decentralized event-triggered adaptive control of a class of uncertain interconnected nonlinear systems using local state feedback corrupted by unknown injection data”, Applied Mathematics and Computation, vol. 399, 126044, Jun. 2021.

[123] J. H. Kim, S. J. Yoo, “Nonlinear-observer-based design approach for adaptive event-driven tracking of uncertain underactuated underwater vehicles”, Mathematics, vol. 9, 1144, May. 2021.

[122] B. M. Kim, S. J. Yoo, “Approximation-based quantized state feedback tracking of uncertain input-saturated MIMO nonlinear systems with application to 2-DOF helicopter”, Mathematics, vol. 9, 1062, May. 2021.

[121] B. S. Park, S. J. Yoo, “Connectivity-maintaining and collision-avoiding performance function approach for robust leader–follower formation control of multiple uncertain underactuated surface vessels”, Automatica, vol. 127, 109501, May 2021.

[120] S. J. Yoo, “Adaptive state-quantized control of uncertain lower-triangular nonlinear systems with input delay”, Mathematics, vol. 9, 763, Apr. 2021.

[119] Y. H. Choi, S. J. Yoo, “Decentralized event-triggered tracking of a class of uncertain interconnected nonlinear systems using minimal function approximators”, IEEE Trans. Systems, Man, and Cybernetics: Systems, vol. 51, no. 3, pp. 1766-1778, Mar. 2021.

[118] J. H. Kim, S. J. Yoo, “Adaptive event-triggered control strategy for ensuring predefined three-dimensional tracking performance of uncertain nonlinear underactuated underwater vehicles”, Mathematics, vol. 9, 137, Jan. 2021.

[117] B. M. Kim, S. J. Yoo, “Decentralized event-triggered adaptive control for interconnected nonlinear dynamics of constrained air supply and thermal management systems of PEMFCs”, Nonlinear Dynamics, vol. 103, no. 1, pp. 791-808, Jan. 2021.

[116] Y. H. Choi, S. J. Yoo, “Decentralized adaptive quantized feedback tracking of a class of uncertain interconnected lower-triangular nonlinear systems”, ISA Transactions, vol. 106, pp. 74-84, Nov. 2020.

[115] Y. H. Choi, S. J. Yoo, “Neural-Networks-based adaptive quantized feedback tracking of uncertain nonlinear strict-feedback systems with unknown time delays”, Journal of the Franklin Institute, vol. 357, pp. 10691-10715, Oct. 2020.

[114] S. J. Yoo, “Neural-network-based adaptive resilient dynamic surface control against unknown deception attacks of uncertain nonlinear time-delay cyberphysical systems”, IEEE Trans. Neural Networks and Learning Systems, vol. 31, no. 10, pp. 4341-4353, Oct. 2020.

[113] Y. H. Choi, S. J. Yoo, “Quantized-feedback-based adaptive event-triggered control of a class of uncertain nonlinear systems”, Mathematics, vol. 8, 1603, Sep. 2020.

[112] S. J. Yoo, “Approximation-free design for distributed consensus tracking of networked uncertain non-linear multi-agent systems with heterogenous high powers”, IET Control Theory and Applications, vol. 14, no. 14, pp. 1975-1988, Sep. 2020.

[111] Y. H. Choi, S. J. Yoo, “Tracking control strategy using filter-based approximation for the unknown control direction problem”, Mathematics, vol. 8, 1341, Aug. 2020.

[110] D. M. Jeong, S. J. Yoo, “Decentralized adaptive tracking of interconnected nonlinear systems by corrupted output feedback”, Mathematics, vol. 8, 1340, Aug. 2020.

[109] S. J. Yoo, B. S. Park, “Distributed approximation-free design for ensuring network connectivity of uncertain nonholonomic multi-robot synchronized tracking systems with disturbances”, ISA Transactions, vol. 102, pp. 164-172, Jul. 2020.

[108] S. J. Yoo, “Approximation-based event-triggered control against unknown injection data in full states and actuator of uncertain lower-triangular nonlinear systems”, IEEE Access, vol. 8, pp. 101747-101757, Jun. 2020.

[107] B. M. Kim, S. J. Yoo, “Approximation-based adaptive control of constrained uncertain thermal management systems with nonlinear coolant circuit dynamics of PEMFCs”, IEEE Access, vol. 8, pp. 83483-83494, May 2020.

[106] S. J. Yoo, “Connectivity-preserving design strategy for distributed cooperative tracking of uncertain nonaffine nonlinear time-delay multi-agent systems”, Information Sciences, vol. 514, pp. 541–556, Apr. 2020.

[105] Y. H. Choi, S. J. Yoo, “Quantized feedback adaptive command filtered backstepping control for a class of uncertain nonlinear strict-feedback systems”, Nonlinear Dynamics, vol. 99, no. 4, pp. 2907-2918, Mar. 2020.

[104] D. M. Jeong, Y. H. Choi, S. J. Yoo, “Adaptive output‑feedback control of a class of nonlinear systems with unknown sensor sensitivity and its experiment for flexible‑joint robots”, Journal of Electrical Engineering & Technology, vol. 15, no. 2, pp. 907–918, Mar. 2020.

[103] J. H. Kim, S. J. Yoo, “Distributed event-triggered adaptive formation tracking of networked uncertain stratospheric airships using neural networks”, IEEE Access, vol. 8, pp. 49977-49988, Mar. 2020.

[102] S. J. Yoo, B. S. Park, “Guaranteed-connectivity-based distributed robust event-triggered tracking of multiple underactuated surface vessels with uncertain nonlinear dynamics”, Nonlinear Dynamics, vol. 99, no. 3, pp. 2233-2249, Feb. 2020.

[101] S. J. Yoo, “Simplified global fault accommodation control design of uncertain nonlinear systems with unknown time-varying powers,” Nonlinear Dynamics, vol. 99, no. 2, pp. 1115-1128, Jan. 2020.

[100] B. M. Kim, Y. H. Choi, S. J. Yoo, Adaptive control of proton exchange membrane fuel cell air supply systems with asymmetric oxygen excess ratio constraints”, IEEE Access, vol. 8, pp. 5537-5549, Jan. 2020.

[99] B. S. Park, S. J. Yoo, “Adaptive-observer-based formation tracking of networked uncertain underactuated surface vessels with connectivity preservation and collision avoidance”, Journal of The Franklin Institute, vol. 356, no. 15, pp. 7947–7966, Oct. 2019.

[98] B. S. Park, S. J. Yoo, “An error transformation approach for connectivity-preserving and collision-avoiding formation tracking of networked uncertain underactuated surface vessels,” IEEE Trans. Cybernetics, vol. 49, no. 8, pp. 2955-2966, Aug. 2019.

[97] S. J. Yoo, “Connectivity-preserving approximation-free design for synchronized tracking of uncertain networked nonaffine nonlinear multi-agent systems,” Journal of The Franklin Institute, vol. 356, no. 11, pp. 5781–5800, Jul. 2019.

[96] Y. H. Choi, S. J. Yoo, “An improved design strategy for approximation-based adaptive event-triggered tracking of a class of uncertain nonlinear systems,” Journal of The Franklin Institute, vol. 356, no. 8, pp. 4378–4396, May 2019.

[95] S. J. Yoo, B. S. Park, “Connectivity preservation and collision avoidance in networked nonholonomic multi-robot formation systems: Unified error transformation strategy,” Automatica, vol. 103, pp. 274-281, May 2019.

[94] S. J. Yoo, “Distributed low-complexity fault-tolerant consensus tracking of switched uncertain nonlinear pure-feedback multi-agent systems under asynchronous switching” Nonlinear Analysis: Hybrid Systems, vol. 32, pp. 239-252, May 2019.

[93] Y. H. Choi, S. J. Yoo, “Event-triggered output-feedback tracking of a class of nonlinear systems with unknown time delays,” Nonlinear Dynamics, vol. 96, no. 2, pp. 959–973, Apr. 2019.

[92] S. J. Yoo, “Decentralized low-complexity fault-tolerant tracking of a class of arbitrarily switched interconnected nonaffine nonlinear systems with unexpected faults,” Nonlinear Dynamics, vol. 95, no. 1, pp. 1-11, Jan. 2019.

[91] S. J. Yoo, “Connectivity-preserving consensus tracking of uncertain nonlinear strict-feedback multiagent systems: An error transformation approach,” IEEE Trans. Neural Networks and Learning Systems, vol. 29, no. 9, pp. 4542-4548, Sep. 2018.

[90] S. J. Yoo, B. S. Park, “Connectivity-preserving approach for distributed adaptive synchronized tracking of networked uncertain nonholonomic mobile robots,” IEEE Trans. Cybernetics, vol. 48, no. 9, pp. 2598-2608, Sep. 2018.

[89] S. J. Yoo, T. H. Kim “Decentralized low-complexity tracking of uncertain interconnected high-order nonlinear systems with unknown high powers,” Journal of the Franklin Institute, vol. 355, no. 11, pp. 4515-4532, Jul. 2018.

[88] Y. H. Choi, S. J. Yoo, “Event-triggered decentralized adaptive fault-tolerant control of uncertain interconnected nonlinear systems with actuator failures,” ISA Transactions, vol. 77, pp. 77-89, Jun. 2018.

[87] Y. H. Choi, S. J. Yoo, “Robust event-driven tracking control with preassigned performance for uncertain input-quantized nonlinear pure-feedback systems,” Journal of the Franklin Institute, vol. 355, no. 8, pp. 3567-3582, May 2018.

[86] S. J. Yoo, “Low-complexity robust tracking of high-order nonlinear systems with application to underactuated mechanical dynamics,” Nonlinear Dynamics, vol. 91, pp. 1627-1637, Feb. 2018.

[85] S. J. Yoo, “Error-transformation-based consensus algorithms of multi-agent systems: connectivity-preserving approach,” International Journal of Systems Science, vol. 49, no. 4, pp. 692-700, Feb. 2018.

[84] Y. H. Choi, S. J. Yoo, “Connectivity-preserving adaptive synchronized tracking of heterogeneous spherical robots with limited communication ranges,” Nonlinear Dynamics, vol. 91, pp. 1513-1525, Feb. 2018.

[83] Y. H. Choi, S. J. Yoo, “Filter-driven-approximation-based control for a class of pure-feedback systems with unknown nonlinearities by state and output feedback,” IEEE Trans. Systems, Man, and Cybernetics: Systems, vol. 48, no. 2, pp. 161-176, Feb. 2018.

[82] S. J. Yoo, “A robust low-complexity tracker design with preassigned performance for uncertain high-order nonlinear systems with unknown time-varying delays and high powers,” Journal of the Franklin Institute, vol. 355, pp. 675-692, Jan. 2018.

[81] Y. H. Choi, S. J. Yoo, “Decentralized adaptive output-feedback control of interconnected nonlinear time-delay systems using minimal neural networks,” Journal of the Franklin Institute, vol. 355, pp. 81-105, Jan. 2018.

[80] S. J. Yoo, “Distributed consensus tracking of a class of asynchronously switched nonlinear multi-agent systems,” Automatica, vol. 87, pp. 421-427, Jan. 2018.

[79] H. O. Kim, S. J. Yoo, “Decentralised disturbance-observer-based adaptive tracking in the presence of unmatched nonlinear time-delayed interactions and disturbances,” International Journal of Systems Science, vol. 49, no. 1, pp. 98-112, Jan. 2018.

[78] H. O. Kim, S. J. Yoo, “Memoryless disturbance-observer-based adaptive tracking of uncertain pure-feedback nonlinear time-delay systems with unmatched disturbances,” ISA Transactions, vol. 70, pp. 419-431, Sep. 2017.

[77] Y. H. Choi, S. J. Yoo, “Minimal-approximation-based distributed consensus tracking of a class of uncertain nonlinear multi-agent systems with unknown control directions,” IEEE Trans. Cybernetics, vol. 47, no. 8, pp. 1994-2007, Aug. 2017.

[76] B. S. Park, S. J. Yoo, “A low-complexity tracker design for uncertain nonholonomic wheeled mobile robots with time-varying input delay at nonlinear dynamic level,” Nonlinear Dynamics, vol. 89, pp. 1705-1717, Aug. 2017.

[75] S. W. Lee, H. O. Kim, S. J. Yoo, “Adaptive neural network tracking of a class of switched nonlinear systems with time-varying output constraints,” International Journal of Control, Automation and Systems, vol. 15, no. 3, pp. 1425-1433, Jun. 2017.

[74] Y. H. Choi, S. J. Yoo, “Approximation-based adaptive tracking of uncertain input-quantized nonlinear systems in the presence of unknown quantization parameters and control directions,” International Journal of Control, Automation and Systems, vol. 15, no. 3, pp. 1414-1424, Jun. 2017.

[73] S. J. Yoo, “Output-feedback fault detection and accommodation of uncertain interconnected systems with time-delayed nonlinear faults,” IEEE Trans. Systems, Man, and Cybernetics: Systems, vol. 47, No. 5, pp. 758-766, May. 2017.

[72] S. W. Lee, S. J. Yoo, “Adaptive-observer-based output-constrained tracking of a class of arbitrarily switched uncertain non-affine nonlinear systems,” Nonlinear Analysis: Hybrid Systems, vol. 24, pp. 69-82, May. 2017.

[71] S. W. Lee, S. J. Yoo, “Robust approximation-free design for tracking and fault tolerance in the presence of arbitrarily switched unknown nonlinearities,” Journal of The Franklin Institute, vol. 354, vol. 5, pp. 2183–2198, Mar. 2017.

[70] H. O. Kim, S. J. Yoo, “Approximation-based disturbance observer approach for adaptive tracking of uncertain pure-feedback nonlinear systems with unmatched disturbances,” International Journal of Systems Science, vol. 48, no. 8, pp. 1775-1786, Mar. 2017.

[69] S. J. Yoo, “Approximation-based adaptive tracking of a class of uncertain nonlinear time-delay systems in nonstrict-feedback form,” International Journal of Systems Science, vol. 48, no. 7, pp. 1347-1355, Mar. 2017.

[68] S. J. Yoo, T. H. Kim, “Predesignated fault-tolerant formation tracking quality for networked uncertain nonholonomic mobile robots in the presence of multiple faults,” Automatica, vol. 77, vol. 3, pp. 380-387, Mar. 2017.

[67] S. J. Yoo, B. S. Park, “Guaranteed performance design for distributed bounded containment control of networked uncertain underactuated surface vessels,” Journal of The Franklin Institute, vol. 354, vol. 3, pp. 1584-1602, Feb. 2017.

[66] S. J. Yoo, “A low-complexity design for distributed containment control of networked pure-feedback systems and its application to fault-tolerant control,” International Journal of Robust and Nonlinear Control, vol. 27, vol. 3, pp. 363-379, Feb. 2017.

[65] S. J. Yoo, “Approximation-based decentralized adaptive tracking for a class of arbitrarily switched interconnected non-affine nonlinear systems,” Journal of The Franklin Institute, vol. 354, vol. 2, pp. 834-851, Jan. 2017.

[64] S. W. Lee, S. J. Yoo, “Robust fault-tolerant prescribed performance tracking for uncertain switched pure-feedback nonlinear systems under arbitrary switching,” International Journal of Systems Science, vol. 48, no. 3, pp. 578-586, Jan. 2017.

[63] Y. H. Choi, S. J. Yoo, “Minimal-approximation-based decentralized backstepping control of interconnected time-delay systems,” IEEE Trans. Cybernetics, vol. 46, no. 12, pp. 3401-3413, Dec. 2016.

[62] S. J. Yoo, “Formation tracker design of multiple mobile robots with wheel perturbations: adaptive output-feedback approach,” International Journal of Systems Science, vol. 47, no. 15, pp. 3619-3630, 2016.

[61] B. S. Park, S. J. Yoo, “Fault detection and accommodation of saturated actuators for underactuated surface vessels in the presence of nonlinear uncertainties,” Nonlinear Dynamics, vol. 85, pp. 1067–1077, Jul. 2016.

[60] Y. H. Choi, S. J. Yoo, “Decentralized approximation-free control for uncertain large-scale pure-feedback systems with unknown time-delayed nonlinearities and control directions,” Nonlinear Dynamics, vol. 85, pp. 1053–1066, Jul. 2016.

[59] Y. H. Choi, S. J. Yoo, “Adaptive synchronized tracking of heterogeneous spherical robots using distributed hierarchical sliding surfaces under a directed graph,” Nonlinear Dynamics, vol. 85, pp. 913–922, Jul. 2016.

[58] Y. H. Choi, S. J. Yoo, “Single-approximation-based adaptive control of a class of nonlinear time-delay systems,” Neural Computing & Applications, vol. 27, pp. 1041-1052, May 2016.

[57] S. J. Yoo, “Adaptive tracking control for uncertain switched nonlinear systems in nonstrict-feedback form,” Journal of The Franklin Institute, vol. 353, pp. 1409-1422, Apr. 2016.

[56] B. S. Park, S. J. Yoo, “Robust fault–tolerant tracking with predefined performance for underactuated surface vessels,” Ocean Engineering, vol. 115, pp. 159-167, Mar. 2016.

[55] S. J. Yoo, “Distributed memoryless detection and accommodation of unknown time-delayed interaction faults in a class of interconnected nonlinear systems,” Information Sciences, vol. 329, pp. 753-764, Feb. 2016.

[54] Y. H. Choi, S. J. Yoo, “A simple fuzzy-approximation-based adaptive control of uncertain unmanned helicopters,” International Journal of Control, Automation, and Systems, vol. 14, no. 1, pp. 340-349, Feb. 2016.

[53] Y. H. Choi, S. J. Yoo, “Simple adaptive output-feedback control of non-linear strict-feedback time-delay systems,” IET Control Theory and Applications, vol. 10, no. 1, pp. 58-66, Jan. 2016.

[52] S. J. Yoo, “Adaptive-observer-based dynamic surface tracking of a class of mobile robots with nonlinear dynamics considering unknown wheel slippage,” Nonlinear Dynamics, vol. 81, pp. 1611-1622, Sep. 2015.

[51] S. J. Yoo, “Distributed containment control with predefined performance of high-order multi-agent systems with unknown heterogeneous non-linearities,” IET Control Theory and Applications, vol. 9, no. 10, pp. 1571-1578, Jun. 2015.

[50] B. S. Park, S. J. Yoo, “Adaptive leader-follower formation control of mobile robots with unknown skidding and slipping effects,” International Journal of Control, Automation, and Systems, vol. 13, no. 3, pp. 587-594, Jun. 2015.

[49] S. J. Yoo, “Decentralised fault compensation of time-delayed interactions and dead-zone actuators for a class of large-scale non-linear systems,” IET Control Theory and Applications, vol. 9, no. 9, pp. 1461-1471, Jun. 2015.

[48] S. J. Yoo, “Observer-based decentralized adaptive control for large-scale pure-feedback systems with unknown time-delayed nonlinear interactions,” International Journal of Robust and Nonlinear Control, vol. 25, pp. 1107-1125, May. 2015.

[47] B. S. Kim, S. J. Yoo, “Approximation-based adaptive tracking control of nonlinear pure-feedback systems with time-varying output constraints,” International Journal of Control, Automation, and Systems, vol. 13, no. 2, pp. 257-265, Apr. 2015.

[46] S. J. Yoo, T. H. Kim, “Distributed formation tracking of networked mobile robots under unknown slippage effects,” Automatica, vol. 54, pp. 100-106, Apr. 2015.

[45] B. S. Kim, S. J. Yoo, “Adaptive control of nonlinear pure-feedback systems with output constraints Integral Barrier Lyapunov Functional approach,” International Journal of Control, Automation, and Systems, vol. 13, no. 1, pp. 249-256, Feb. 2015.

[44] H. Cho, S. J. Yoo, S. Kwak, “State observer based sensor less control using Lyapunov’s method for boost converters,” IET Power Electronics, vol. 8, no. 1, pp. 11–19, Jan. 2015.

[43] S. J. Yoo, “Delay-independent fault detection and accommodation for non-linear strict-feedback systems with unknown time-varying delays,” IET Control Theory and Applications, vol. 9, no. 2, pp. 293-299, Jan. 2015.

[42] B. S. Kim, S. J. Yoo, “Approximation-based adaptive control of uncertain non-linear pure-feedback systems with full state constraints,” IET Control Theory and Applications, vol. 8, no. 11, pp. 2070-2081, Nov. 2014. (SCI)

[41] S. Kwak, S. J. Yoo, J. Park, “Finite control set predictive control based on Lyapunov function for three-phase voltage source inverters,” IET Power Electronics, vol. 7, no. 11, pp. 2726–2732, Nov. 2014. (SCIE)

[40] S. J. Yoo, “Adaptive output-feedback control for nonlinear time-delay systems in pure-feedback form,”  Journal of The Franklin Institute, vol. 351, no. 7, pp. 3899-3913, Jul. 2014. (SCIE)

[39] S. J. Yoo, “Synchronised tracking control for multiple strict-feedback non-linear systems under switching network,” IET Control Theory and Applications, vol. 8, no. 8, pp. 546-553, May. 2014. (SCI)

[38] S. J. Yoo, “Neural-network-based decentralized fault-tolerant control for a class of nonlinear large-scale systems with unknown time-delayed interaction faults,” Journal of The Franklin Institute, vol. 351, no. 3, pp. 1615-1629, Mar. 2014. (SCIE)

[37] S. J. Yoo, “Distributed adaptive containment control of networked flexible-joint robots using neural networks,” Expert Systems with Applications, vol. 41, no. 2, pp. 470-477, Feb. 2014. (SCIE)

[36] S. J. Yoo, “Fault detection and accommodation of a class of nonlinear systems with unknown multiple time-delayed faults,” Automatica, vol. 50, no. 1, pp. 255-261, Jan. 2014. (SCI)

[35] S. J. Yoo, “Fault-tolerant control of strict-feedback nonlinear time-delay systems with prescribed performance,” IET Control Theory and Applications, vol. 7, no. 11, pp. 1553-1561, Jul. 2013. (SCI)

[34] S. J. Yoo, “Adaptive neural tracking and obstacle avoidance of uncertain mobile robots with unknown skidding and slipping,” Information Sciences, vol. 238, pp. 176-189, Jul. 2013. (SCI)

[33] S. J. Yoo, “Distributed adaptive containment control of uncertain nonlinear multi-agent systems in strict-feedback form,” Automatica, vol. 49, no. 7, pp. 2145-2153, Jul. 2013. (SCI)

[32] S. J. Yoo, “Distributed adaptive consensus tracking of a class of networked nonlinear systems with parametric uncertainties,” IET Control Theory and Applications, vol. 7, no. 7, pp. 1049-1057, May. 2013. (SCI)

[31] S. J. Yoo, “Distributed consensus tracking for multiple uncertain nonlinear strict-feedback systems under a directed graph,” IEEE Trans. Neural Networks and Learning Systems, vol. 24, no. 4, pp. 666-672, Apr. 2013. (SCI)

[30] S. J. Yoo, B. S. Park, “Formation tracking control for a class of multiple mobile robots in the presence of unknown skidding and slipping,” IET Control Theory and Applications, vol. 7, no. 5, pp. 635-645, Mar. 2013. (SCI)

[29] S. J. Yoo, “Adaptive fault compensation control for a class of nonlinear systems with unknown time-varying delayed faults,” Nonlinear Dynamics, vol. 70, no. 1, pp. 55-65, Oct. 2012. (SCI)

[28] S. J. Yoo, “Approximation-based adaptive control for a class of mobile robots with unknown skidding and slipping,” International Journal of Control, Automation, and Systems, vol. 10, no. 4, pp. 703-710, Aug. 2012. (SCIE)

[27] S. J. Yoo, “Actuator fault detection and adaptive accommodation control of flexible-joint robots” IET Control Theory and Applications, vol. 6, no. 10, pp. 1497-1507, Jul. 2012. (SCI)

[26] S. J. Yoo, J. B. Park, “Decentralized adaptive output-feedback control for a class of nonlinear large-scale systems with unknown time-varying delayed interactions,” Information Sciences, vol. 186, no. 1, pp. 222-238, Mar. 2012. (SCI)

[25] S. J. Yoo, “Adaptive control of non-linearly parameterised pure-feedback systems,” IET Control Theory and Applications, vol. 6, no. 3, pp. 467-473, Feb. 2012. (SCI)

[24] S. J. Yoo, “Adaptive neural output-feedback control for a class of non-linear systems with unknown time-varying delays,” IET Control Theory and Applications, vol. 6, no. 1, pp. 130-140, Jan. 2012. (SCI)

[23] S. J. Yoo, “Adaptive tracking and obstacle avoidance for a class of mobile robots in the presence of unknown skidding and slipping,” IET Control Theory and Applications, vol. 5, no. 14, pp. 1597-1608, Sep. 2011. (SCI)

[22] B. Park, S. J. Yoo, J. B. Park, and Y. H. Choi, “Adaptive output-feedback control for trajectory tracking of electrically driven nonholonomic mobile robots,” IET Control Theory and Applications, vol. 5, no. 6, pp. 830-838, May 2011. (SCI)

[21] S. J. Yoo, “Decentralized adaptive control of a class of interconnected nonlinear systems with unknown time delays and dead-zone inputs,” IET Control Theory and Applications, vol. 4, no. 11, pp. 2639-2650, Nov. 2010. (SCI)

[20] S. J. Yoo, Naira Hovakimyan, Chengyu Cao, “Decentralized L1 adaptive control for large-scale nonlinear systems with interconnected unmodelled dynamics,” IET Control Theory and Applications, vol. 4, no. 10, pp. 1972-1988, Oct. 2010. (SCI)

[19] S. J. Yoo, “Adaptive tracking control for a class of wheeled mobile robots with unknown skidding and slipping,” IET Control Theory and Applications, vol. 4, no. 10, pp. 2109-2119, Oct. 2010. (SCI)

[18] B. Park, S. J. Yoo, J. B. Park, and Y. H. Choi, “A simple adaptive control approach for trajectory tracking of nonholonomic electrically driven mobile robots,” IEEE Trans. on Control Systems Technology, vol. 18, no. 5, pp. 1199-1206, Sep. 2010. (SCI)

[17] S. J. Yoo, J. B. Park, and Y. H. Choi, “Adaptive formation tracking control of electrically driven multiple mobile robots,” IET Control Theory and Applications, vol. 4, no. 8, pp. 1489-1500, Aug. 2010. (SCI)

[16] K. Choi, S. J. Yoo, J. B. Park, and Y. H. Choi, “Adaptive formation control in absence of leader’s velocity Information,” IET Control Theory and Applications, vol. 4, no. 4, pp. 521-528, Apr. 2010. (SCI)

[15] S. J. Yoo, J. B. Park, and Y. H. Choi, “Adaptive dynamic surface control for disturbance attenuation of nonlinear systems,” International Journal of Control, Automation and Systems, vol. 7, no. 6, pp. 882-887, Dec. 2009.  (SCIE)

[14] S. J. Yoo and J. B. Park, “Neural-networks-based decentralized adaptive control for a class of large-scale nonlinear systems with unknown time-varying delays,” IEEE Trans. on Systems, Man, and Cybernetics Part-B, Cybernetics, vol. 39, no. 5, pp. 1316-1323, Oct. 2009. (SCI)

[13] S. J. Yoo, J. B. Park, and Y. H. Choi, “Adaptive neural control for a class of strict-feedback nonlinear systems with state time delays,” IEEE Trans. on Neural Networks, vol. 20, no. 7, pp. 1209-1215, Jul. 2009. (SCI)

[12] S. J. Yoo, J. B. Park, and Y. H. Choi, “Decentralized adaptive stabilization of interconnected nonlinear systems with unknown non-symmetric dead-zone inputs,” Automatica, vol. 45, no. 2, pp. 436-443, Feb. 2009.(SCI)

[11] B. Park, S. J. Yoo, J. B. Park, and Y. H. Choi, “Adaptive neural sliding mode control of nonholonomic wheeled mobile robots with model uncertainty,” IEEE Trans. on Control Systems Technology, vol. 17, no. 1, pp. 207-214, Jan. 2009. (SCI)

[10] S. J. Yoo, J. B. Park, and Y. H. Choi, “Adaptive output feedback control of flexible-joint robots using neural networks: dynamic surface design approach,” IEEE Trans. on Neural Networks, vol. 19, no. 10, pp. 1712-1726, Oct. 2008. (SCI)

[9] S. J. Yoo, J. B. Park, and Y. H. Choi, “Comments on “Adaptive neural control for a class of nonlinearly parametric time-delay systems””, IEEE Trans. on Neural Networks, vol. 19, no. 8, pp. 1496-1498, Aug. 2008. (SCI)

[8] S. J. Yoo, J. B. Park, and Y. H. Choi, “Output feedback dynamic surface control of flexible-joint robots”, International Journal of Control, Automation and Systems, vol. 6, no. 2, pp. 223-233, Apr. 2008. (SCIE)

[7] S. J. Yoo, J. B. Park, and Y. H. Choi, “Adaptive dynamic surface control for stabilization of parametric strict-feedback nonlinear systems with unknown time delays,” IEEE Trans. on Automatic Control, vol. 52, no. 12, pp. 2360-2365, Dec. 2007. (SCI)

[6] S. J. Yoo, J. B. Park, and Y. H. Choi, “Indirect adaptive control of nonlinear dynamic systems using self recurrent wavelet neural network via adaptive learning rates,” Information Sciences, vol. 177, no. 15, pp. 3074-3098, Aug. 2007. (SCI)

[5] S. J. Yoo, J. B. Park, and Y. H. Choi, “Robust control of planar biped robots in single support phase using intelligent adaptive backstepping technique,” International Journal of Control, Automation and Systems, vol. 5, no. 3, pp. 269-282, Jun. 2007. (SCIE)

[4] S. J. Yoo, J. B. Park, and Y. H. Choi, “Adaptive dynamic surface control of flexible-joint robots using self recurrent wavelet neural networks,” IEEE Trans. on Systems, Man, and Cybernetics Part-B, Cybernetics, vol. 36, no. 6, pp. 1342-1355, Dec. 2006. (SCI)

[3] S. J. Yoo, J. B. Park, and Y. H. Choi, “Neurocontroller via adaptive learning rates for stable path tracking of mobile robots,” Lecture Notes in Computer Science, vol. 4221, pp. 408-417, Sep. 2006. (SCIE)

[2] S. J. Yoo, Y. H. Choi, and J. B. Park, “Generalized predictive control based on self recurrent wavelet neural network for stable path tracking of mobile robots: adaptive learning rates approach,” IEEE Trans. on Circuits and Systems Part I-Regular Paper, vol. 53, no. 6, pp. 1381-1394, Jun. 2006. (SCI)

[1] S. J. Yoo, J. B. Park, and Y. H. Choi, “Stable predictive control of chaotic systems using self-recurrent wavelet neural network,”  International Journal of Control, Automation and Systems, vol. 3, no. 1, pp. 43-55, Mar. 2005. (SCIE)

• Domestic Journal

[11] Y. H. Choi  and S. J. Yoo, “Adaptive formation control of nonholonomic multiple mobile robots considering unknown slippage,” 제어 로봇  시스템학회 논문지,  vol. 16, no. 1, pp. 5-11, Jan. 2010.

[10] S. J. Yoo and J. B. Park, “Decentralized adaptive control for nonlinear systems with time-delayed interconnections: intelligent approach,” 제어 로봇 시스템학회 논문지,  vol. 15, no. 4, pp. 413-419, Apr. 2009.

[9] S. J. Yoo, J. B. Park, and Y. H. Choi,  “A study on simple adaptive control of flexible-joint robots considering motor dynamics,” 제어 로봇 시스템학회 논문지, vol. 14, no. 11, pp. 1103-1109, Nov. 2008.

[8] S. J. Yoo, Y. H. Choi and J. B. Park, “Intelligent sliding mode control for robots systems with model uncertainties”  제어 로봇 시스템학회 논문지, vol. 14, no. 10, pp. 1014-1021, Oct. 2008.

[7] B. Park, S. J. Yoo, J. B. Park, and Y. H. Choi, “A new sliding-surface-based tracking control of nonholonomic mobile robots,” 제어 로봇 시스템학회 논문지, vol. 14, no. 8, pp. 842-847, Aug.  2008.

[6] S. J. Yoo and Y. H. Choi, “Adaptive neural dynamic surface control via H_{\infty} approach for nonlinear flight systems,” 제어 로봇 시스템학회 논문지, vol. 14, no. 3, pp. 254-262, Mar. 2008.

[5] K. C. Seo, S. J. Yoo, J. B. Park, and Y. H. Choi, “Self-recurrent-wavelet-neural-network based adaptive backstepping control for steering control of a autonomous underwater vehicle,” 제어 자동화 시스템공학 논문지, vol. 13, no. 5, pp. 406-413, May 2007.

[4] S. J. Yoo, Y. H. Choi, and J. B. Park, “Robust flight control system using neural networks: dynamic surface design approach,” 전기학회논문지, vol. 55D, no. 12, pp. 518-525, Dec. 2006.

[3] C. H. Kim, S. J. Yoo, Y. H. Choi, and J. B. Park, “Hybrid sliding mode control of 5-link biped robot in single support phase using a wavelet neural network,” 제어 자동화 시스템공학 논문지, vol. 12, no. 11, pp. 1081-1087, Nov. 2006.

[2] S. J. Yoo and J. B. Park, “Adaptive backstepping control using self recurrent wavelet neural network for stable walking of the biped robots,” 제어 자동화 시스템공학 논문지, vol. 12, no. 3, pp. 233-240, Mar. 2006.

[1] S. J. Yoo, Y. H. Choi, and J. B. Park, “Identification of dynamic systems using a self recurrent wavelet neural network: convergence analysis via adaptive learning rates,” 제어 자동화 시스템공학 논문지, vol. 11, no. 9, pp. 781-788, Sep. 2005.

• International Conference

[12] S. J. Yoo, N. Hovakimyan, and C. Cao,  “Decentralized L1 adaptive control for large-scale systems with unknown time-varying  interaction parameters,” Proc. American Control Conference,  June 30 – July 2, 2010, Baltimore, Maryland,  USA, pp. 5590-5595.

[11] B. S. Park, S. J. Yoo, J. B. Park, and Y. H. Choi,  “Adaptive tracking control of nonholonomic mobile robots considering actuator dynamics: dynamic surface design approach,” Proc. American Control Conference, June 10-12, 2009, Hyatt Regency Riverfront,  St. Louis, MO, USA, pp. 3860-3865.

[10] S. J. Yoo and J. B. Park, “Decentralized adaptive control for interconnected strict-feedback systems with unknown time delays,” Int. Conf. Control, Automation, and Systems, October 14-17, 2008, COEX, Seoul, Korea, pp. 1373-1377.

[9] S. J. Yoo, Y. H. Choi, J. B. Park, “Dynamic surface controller for flexible joint robots without velocity measurements,” Int. Conf. Control, Automation, and Systems, October 17-20, 2007, COEX, Seoul, Korea, pp. 1098-1102.

[8] S. J. Yoo, J. B. Park, and Y. H. Choi, “Robust stabilization for parametric strict-feedback nonlinear systems with unknown time delays:  dynamic surface design approach,” IEEE Conf. Decision and Control, Manchester Grand Hyatt Hotel San Diego, CA, USA, December 13-15, 2006, pp. 3777-3782.

[7] S. J. Yoo, J. B. Park, and Y. H. Choi, “Robust adaptive control for nonlinear systems with H_{\infty} tracking performance: dynamic surface design approach,” SICE-ICASE International Joint Conference, Oct. 18-21, 2006,  Bexco, Busan, Korea, pp. 745-750.

[6] S. J. Yoo, J. B. Park, and Y. H. Choi, “Adaptive neural dynamic surface control of nonlinear time-delay systems with model uncertainties,” Proc. American Control Conference, Minneapolis, Minnesota, USA, Jun 14-16, 2006, pp. 3140-3145.

[5] S. J. Yoo, J. B. Park, and Y. H. Choi, “Direct adaptive control using self-recurrent wavelet neural network via adaptive learning rates for stable path tracking of mobile robots,” Proc. American Control Conference, June 8-10, 2005, Portland, OR, USA, pp. 288-293.

[4] C. H. Kim, S. J. Yoo, J. B. Park, and Y. H. Choi, “Sliding mode control of 5-link biped robot using wavelet neural network,” Int. Conf. Control, Automation, and Systems, June 2-5, 2005, KINTEX, Gyeonggi-Do, Korea, pp. 2279-2284.

[3] S. J. Yoo, J. B. Park, and Y. H. Choi, “Intelligent gain and boundary layer based sliding mode control for robotic systems with unknown uncertainties,” Int. Conf. Control, Automation, and Systems, June 2-5, 2005, KINTEX, Gyeonggi-Do, Korea, pp. 2319-2324.

[2] J. S. Oh, S. J. Yoo, J. B. Park, and Y. H. Choi, “The modeling of chaotic nonlinear system using wavelet based fuzzy neural network,” Int. Conf. Control, Automation, and  Systems, August 25-27, 2004, The Shangri-La Hotel, Bangkok, THAILAND,  pp. 635-639.

[1] S. J. Yoo, J. S. Oh, J. B. Park, and Y. H. Choi, “Self-recurrent wavelet neural network based direct adaptive control for stable path tracking of mobile robots,” Int. Conf. Control, Automation, and  Systems, August 25-27, 2004, The Shangri-La Hotel,  Bangkok, THAILAND, pp. 640-645.

• Domestic Conference

[7] 유성진, 최윤호, 박진배, “Adaptive neural control of flexible-joint robots considering motor dynamics,” 대한전기학회 하계학술대회 논문집 정보 및 제어부분, Jul. 16-18, 2008, pp. 1761-1762.

[6] 유성진, 최윤호, 박진배, “Adaptive neural dynamic surface control via H_{\infty} approach for nonlinear flight system,” 대한전기학회 하계학술대회 논문집 정보 및 제어부분, Jul. 18-20, 2007, pp. 1728-1729.

[5] 유성진, 최윤호, 박진배, “Robust flight control system using neural networks: dynamic surface design approach,” 대한전기학회 하계학술대회 논문집 정보 및 제어부분, Jul. 12-14, 2006, pp. 1848-1849.

[4] 유성진, 최윤호, 박진배, “Robust control of robotic systems using self-recurrent wavelet neural network via backstepping design technique,”대한전기학회 하계학술대회 논문집 정보 및 제어부분, Jul. 18-20, 2005, pp. 2711-2713.

[3] 유성진, 최윤호, 박진배, “Self-recurrent wavelet neural network observer based sliding mode control for nonlinear systems,”  대한전기학회 하계학술대회 논문집 정보 및 제어부분, Jul. 14-16, 2004, pp. 2236-2238.

[2] 유성진, 최윤호, 박진배, “Generalized predictive control of chaotic systems using a self-recurrent wavelet neural network,” 정보 및 제어 학술회의, Nov. 21-22, 2003, pp. 421-424.

[1] 유성진, 최윤호, 박진배, “Modeling of chaotic systems using a DNA coding based wavelet neural network,”  대한전기학회 하계학술대회 논문집 정보 및 제어부분, Jul. 21-23, 2003, pp. 2176-2178.