34) N. T. M. Nguyet and D. X. Ba, "A New Task-Space Neural Nonlinear Control Approach for Robotic Manipulators under Joint Constraints," IEEE Access, vol. 13, pp. 91945 - 91956, 2025. (SCIE-Q1)
33) T. T. Nguyen, M. T. Le, T. C. Nguyen, T. A. Nguyen, X. B. Dang, and A. L. Van, "Comparison and Optimization of Burnishing Parameters in Various Machining Conditions," Strojniški vestnik-Journal of Mechanical Engineering, vol. 71, no. 3-4, pp. 127-135, 2025. (SCIE-Q3)
32) A. L. Van, T. T. Nguyen*, and X. B. Dang, "A sustainable gas metal arc welding operation: machine learning models-based experiment and optimization of welded carbon steels," Welding International, vol. 39, no. 5, pp. 348-366, 2025. (Scopus - Q3)
31) T. T. Nguyen and X. B. Dang, "Radial basis function network-based optimization of the hard self-propelled rotary turning titanium," Neural Computing and Applications, vol. 37, pp. 5607–5634, 2025. (SCIE-Q2)
30) A. L. Van, T. A. Nguyen, T. T. Nguyen, and X. B. Dang, "Multi-performance optimization of gas metal arc welding operation in terms of energy saving and quality criteria," Journal of Adhesion Science and Technolog, vol. 39, no. 1, pp. 76-105, 2024. (SCIE-Q2).
29) A. L. Van, T. C. Nguyen, H. T. Bui, X. B. Dang, and T. T. Nguyen, "Multi-response Optimization of GTAW Process Parameters in Terms of Energy Efficiency and Quality," Strojniški vestnik-Journal of Mechanical Engineering, vol. 70, no. 5-6, pp. 259-269, 2024. (SCIE-Q3)
28) A. L. Van, T. A. Nguyen, X. B. Dang, and T. T. Nguyen, "A sustainable approach-based optimization of internal diamond burnishing operation," Bulletin of the Polish Academy of Sciences Technical Sciences, vol. 72, no. 6, pp. e151953, 2024. (SCIE-Q3)
27) A. L. Van, T. T. Nguyen, P. N. Huu, and X. B. Dang, "Neural Network-Based Optimization of the Electrical Discharge Drilling Process Parameters," Tehnicki vjesnik-Technical Gazette, vol. 31, no. 4, pp. 1101-1110, 2024. (Scopus -Q3)
26) A. L. Van, D. X. Ba, and T. T. Nguyen, "Multi-Response Optimization of the Flat Burnishing Process with a High-Stiffness Tool in terms of Surface Characteristics," Tehnicki vjesnik-Technical Gazette, vol. 30, no. 4, pp. 1166-1174, 2023. (Scopus -Q3)
25) M. T. Le, A. L. Van*, T. T. Nguyen, and X. B. Dang, “Ecological design optimization of nozzle parameters for burnishing operation,” Journal of Applied Engineering Science, vol. 21, no. 2, pp. 686-697, 2023. (Scopus-Q3)
24) D. X. Ba, N. T. Thien, and J. B. Bae, “A Novel Iterative Second-Order Neural-network Learning Control Approach for Robotic Manipulators,” IEEE Access, vol. 11, pp. 58318-58332, 2023. (SCIE-Q1)
23) T. T. Nguyen, T. A. Nguyen, D. X. Ba, and A. L. Van, “Multi-performance optimization of the diamond burnishing process in terms of energy saving and tribological factors,” Proc. IMechE Part E: J. Process Mechanical Engineering, pp. 1-14, 2023. (Early Accept)(SCIE-Q2)
22) D. X. Ba, “An Intelligent Sliding Mode Controller of Robotic Manipulators with Output Constraints and High-level Adaptation,” Int. J. Robust and Nonlinear Control, vol. 32, no. 12, pp. 6888-6912, 2022. (SCIE-Q1)
21) N. T. M. Nguyet and D. X. Ba*, “A Neural Flexible PID Controller for Task-space Control of Robotic Manipulators ,” Frontiers in Robotics and AI, 2022. (ESCI-Q2)
20) D. X. Ba, "An Intelligent position-tracking controller for Constrained Robotic Manipulators using Advanced Neural Networks," Recent Advances in Robot Manipulators (ISBN: 978-1-80356-267-4 ), IntechOpen, London, UK, July 2022. (BCI).
19) D. M. Hung and D. X. Ba*, “A Constrained Intelligent Nonlinear Control Method for Redundant Robotic Manipulators,” Advances in Science, Technology and Engineering Systems Journal, vol. 7, no. 3, pp. 173-180, 2022. (Scopus-Q3)
18) H. V. Nghi, D. P. Nhien, and D. X. Ba*, “A LQR Neural Network Control Approach for Fast Stabilizing Rotary Inverted Pendulums ,” Int. J. Precis. Eng. Manuf, vol. 23, pp. 45-56, 2022. (SCIE-Q2)
17) J. Kim, D. X. Ba, H. Yeom, and J. Bae*, “Gait Optimization of a Quadruped Robot Using Evolutionary Computation,” Journal of Bionic Engineering, vol. 18, no. 2, 306-318, 2021. (SCIE-Q2)
16) D. X. Ba* and J. B. Bae, "A Precise Neural-disturbance Learning Controller of Constrained Robotic Manipulators," IEEE Access, vol. 9, pp. 50381 - 50390, 2021. (SCIE-Q1)
15) D. X. Ba* and J. B. Bae, "Self-learning low-level controllers," Collaborative and Humanoid Robots (ISBN: 978-1-83968-740-2), IntechOpen, London, UK, Sept 2021 (BCI).
14) D. X. Ba, "A Fast Adaptive Time-delay-estimation Sliding Mode Control for Robot Manipulators," Advances in Science, Technology and Engineering Systems Journal , Vol. 5, No. 6, 904-911, 2020. (Scopus-Q3)
13) D. X. Ba* and J. B. Bae, "A Nonlinear Sliding Mode Controller of Serial Robot Manipulators with Two-level Gain-learning Ability," IEEE Access, 2020. (SCIE-Q1)
12) D. X. Ba, D. Q. Truong, J. B. Bae, and K. K. Ahn*, “An Effective Disturbance-Observer-based Nonlinear Controller for a Pump-controlled Hydraulic System,” IEEE/ASME Trans. on Mechatronics, vol. 25, no. , pp. 23-32, 2020. (SCI-Q1)
11) D. T. Tran, D. X. Ba, and K. K. Ahn*, “Adaptive Backstepping Sliding Mode Control for Equilibrium Position Tracking of an Electrohydraulic Elastic Manipulator,” IEEE Trans. on Industrial Electronics, May 2019 . (SCI-Q1)
10) D. X. Ba, H. Yeom, and J. B. Bae*, “A Direct Robust Nonsingular Terminal Sliding Mode Controller based on an Adaptive Time-delay Estimator for Servomotor Rigid Robots,” Mechatronics, vol. 59, pp. 82-94, 2019 . (SCI-Q1)
09) D. X. Ba, H. Yeom, J. Kim, and J. B. Bae*, “Gain-adaptive Robust Backstepping Position Control of a BLDC Motor System,” IEEE/ASME Trans. on Mechatronics, vol. 23, no. 5, pp. 2470-2481, 2018. (SCI-Q1)
08) H. Yeom, D. X. Ba, and J. B. Bae*, “Design Principles and Validation of a Human-sized Quadruped Robot Leg for High Energy Efficiency,” J. K. Robotics Society, vol.13, no.2, pp.86-91, 2018. (KCI)
07) N. M. Tri, D. X. Ba, and K. K. Ahn*, “A Gain-Adaptive Intelligent Nonlinear Control for an Electrohydraulic Rotary Actuator,” Int. J. Precis. Eng. Manuf., vol. 19, no. 5, pp. 665-673, 2018. (SCIE-Q2)
06) D. X. Ba and K. K. Ahn*, “A robust time-delay nonlinear controller for a pneumatic artificial muscle,” Int. J. Precis. Eng. Manuf, vol. 19, no. 1, pp. 23-30, 2018. (SCIE-Q2)
05) D. X. Ba and K. K. Ahn*, "A Robust Simplified Backstepping Control Approach for Pump-Controlled Electro-Hydraulic Systems," the Lecture Notes in Electrical Engineering, vol. 455, pp. 108-117, 2016. (Scopus)
04) D. X. Ba, D. Q. Truong, and K. K. Ahn*, “An integrated intelligent nonlinear control method for pneumatic artificial muscle,” IEEE/ASME Trans. on Mechatronics, vol. 21, no. 4, 2016. (SCI-Q1)
03) D. X. Ba, K. K. Ahn*, D. Q. Truong, and H. G. Park, “Integrated model-based backstepping control for an electro-hydraulic system,” Int. J. Precis. Eng. Manuf., vol. 17, no. 5, pp. 1-13, 2016. (SCIE-Q2)
02) D. X. Ba and K. K. Ahn*, “Indirect sliding mode control based on gray-box identification method for pneumatic artificial muscle,” Mechatronics, vol. 32, pp. 1-11, 2015. (SCI-Q1)
01) D. X. Ba, K. K. Ahn*, and N. T. Tai, “Adaptive Integral-type neural sliding mode control for pneumatic muscle actuator,” Int. J. Auto. Tech, vol. 8, no. 6, pp. 888-895, 2014. (ESCI)
09) D. X. Ba, L. M. Thang, and D. V. Dong, “Adaptive Neural Network-Based Nonlinear Control of Quadcopters,” Journal of Transportation Science and Technology , vol. 14, no. 4, pp. 607-617, 2025. (HDGS - 1.0)
08) D. X. Ba, H. T. Hieu, and V. T. Luat , “Design and Control of a Library Service Robot ,” JTES, vol. 19, no. 5, pp. 45982, 2024. (HDGS - 0.5)
07) M. H. Bui, T. P . Pham, T. M. N. Nguyen, and X. B. Dang, "Development of a Direct Adaptive PID Controller for a Quadruped Robot," JTES, vol. 71B, pp. 1-9, 2022. (HDGS - 0.75)
06) D. X. Ba and T. T. Nguyen, "A new neural iterative learning control approach for position tracking control of robotic manipulators: Theory, simulation, and experiment," Measurement, Control and Automation, vol. 3, no. 2, pp. 66-74, 2022. (HDGS - 0.75)
05) V. N. Thong, N. D. H. Phu, N. H. Phong, D. S. Binh, and D. X. Ba*, "An Effective Adaptive Computed Torque PID Controller for Robotic Manipulators," JTES, 2022. (HDGS - 0.5)
04) H. V. Nghi and D. X. Ba*, "An Adaptive PID Controller for Precisely Angular DC Motor Control," JTES, 2021. (HDGS - 0.5)
03) H. N. Hoi, N. T. N. Khuong, V. T. Chau, and D. X. Ba*, "An enhanced path-optimization algorithm for real-time intelligent transportation systems," JTES, vol. 59, pp. 77-84, 2020. (HDGS - 0.5)
02) N. Q. Lin, D. M. Xuan, and D. X. Ba*, “Advanced control design for a high-precision heating furnace using combination of PI/Neural network,” JTES, vol. 55, pp. 25-31, 2019. (HDGS - 0.5)
01) D. X. Ba and K. K. Ahn*, “Suboptimal PID control method for an electro-hydraulic system,” JTES, no. 40, 2017. (HDGS - 0.5)
20) N. T. M. Nguyet, D. X. Ba*, et al. , A Neural Obstacle Avoidance PD End-effector Controller for Redundant Manipulators under Joint Constraints ,” in ICMT25, Nov 2025.
19) L. M. Thang, D. X. Ba*, et al. , “Adaptive Neural Network-Enhanced Model Predictive Control for Altitude Control of Quadcopter under Mass Variation,” in ICMT25, Nov 2025
18) P. V. Quan, D. X. Ba*, C. D. Truong, N. P. Luu, V. Q. Huy, and N. T. Duc , “A Robust Neural Predictive Control Approach for Robotic Manipulators with Online Learning Ability,” in ICCAIS 2022: 11th International Conference on Control, Automation and Information Sciences.
17) N. H. Phong and D. X. Ba , “An Adaptive Robust Nonlinear Control Approach of a Quadcopter with Disturbance Observer,” in ICCAIS 2022: 11th International Conference on Control, Automation and Information Sciences.
16) N. T. Tai, N. D. Hien, N. Q. Truong, D. X. Ba and T. D. Thien , “Indoor mobile robot positioning using sensor fusion,” in GTSD 2022: 5th International Conference on Green Technology and Sustainable Development.
15) N. H. Phong and D. X. Ba*, “A State Feedback Model-Free Predictive Controller For DC Motors Using Neural Network,” in GTSD 2022: 5th International Conference on Green Technology and Sustainable Development.
14) N. T. M. Nguyet and D. X. Ba*, “A Computed Torque Controller for Robotic Manipulators Using Nonlinear Neural Network,” in GTSD 2022: 5th International Conference on Green Technology and Sustainable Development.
13) N. D. Khanh, P. V. Quan, H. P. T. Phu, and D. X. Ba*, “An Adaptive Pose Controller of 6DOF Quadcopters using a State Observer,” in GTSD 2022: 5th International Conference on Green Technology and Sustainable Development.
12) V. N. Thong, N. D. H. Phu, and D. X. Ba*, “A 3D Image-Based Visual Servoing Controller for 3DOF Robot with Single Camera,” in GTSD 2022: 5th International Conference on Green Technology and Sustainable Development.
11) N. D. H. Phu, V. N. Thong, and D. X. Ba*, “An Eye-to-Hand Visual Servoing Controller of 3-Dof Robot Using Feature Matching Technology,” in GTSD 2022: 5th International Conference on Green Technology and Sustainable Development.
10) D. M. Hung, D. T. Linh and D. X. Ba, "An Intelligent Control Method for Redundant Robotic Manipulators with Output Constraints," International Conference on System Science and Engineering (ICSSE), pp. 116-121 , 2021.
09) P. T. Phat, B. M. Huy, and D. X. Ba, "A Smart Direct Controller for a 3-DOF Robot," International Conference on System Science and Engineering (ICSSE), pp. 92-95, 2021.
08) P. H. Binh, P. V. Hoang and D. X. Ba, "A High-Performance Speech-Recognition Method Based on a Nonlinear Neural Network," International Conference on System Science and Engineering (ICSSE), pp. 96-100 , 2021.
07) H. V. Nghi, D. P. Nhien, N. T. M. Nguyet, N. T. Duc, N. P. Luu, P. S. Thanh, and D. X. Ba, "A LQR-based Neural-network Controller for Fast Stabilizing Rotary Inverted Pendulum," International Conference on System Science and Engineering (ICSSE), pp. 19-22, 2021. .
06) D. X. Ba et al., “A Neural-Network-Based Nonlinear Controller for Robot Manipulators with Gain-Learning Ability and Output Constraints,” in ISEE2021: International Symposium on Electrical and Electronics Engineering, May, 2021 .
05) D. X. Ba, “A Flexible Sliding Mode Controller for Robot Manipulators Using a New Type of Neural-network Predictor,” in GTSD 2020: 5th International Conference on Green Technology and Sustainable Development.
04) P. T. Phat, B. M. Huy, T. H. Nam, H. V. Nghi, and D. X. Ba*, “Design and Control of a 4-bar-transmission 2-DOF Robot,” in GTSD 2020: 5th International Conference on Green Technology and Sustainable Development .
03) D. S. Binh, L. C. Long, K. L. Thanh, D. P. Nhien, and D. X. Ba*, “An Intelligent Inverse Kinematic Solution of Universal 6-DOF Robots,” in GTSD 2020: 5th International Conference on Green Technology and Sustainable Development.
02) V. T. Tai, D. N. Minh, and D. X. Ba*, “A PD-Folding-based Controller for a 4DOF robot,” in GTSD 2020: 5th International Conference on Green Technology and Sustainable Development.
01) D. X. Ba* and M.H. Le, “Gain-learning sliding mode control of robot manipulators with time-delay estimation,” in 2019 International Conference on System Science and Engineering (ICSSE), 2019 .
02) D. X. Ba and K. K. Ahn, “An advanced neural-disturbance-observer control method for constrained hydraulic systems,” in Nova Science Publisher, Automatic Control of Hydraulic Systems/979-8-88697-619-9 (Book chapter), pp. 101-130, 2023.
01) D. X. Ba, "An Intelligent Position-Tracking Controller for Constrained Robotic Manipulators Using Advanced Neural Networks," Recent Advances in Robot Manipulators (ISBN: 978-1-80356-267-4), IntechOpen, London, UK, Aug 2022.