【論文著述(期刊論文)】
【論文著述(期刊論文)】
M.-J. Hsu, C.-C. Hsu, Y.-H. Chien, and W.-Y. Wang, “The cognitive system of robots based on deep learning with stable convergence,” International Journal of Fuzzy Systems, Feb. 2025. (SCI)
S.-K. Huang, C.-C. Hsu, and W.-Y. Wang, “Multiple object tracking with improved person re-identification using polynomial cross entropy loss,” IEEE Access, vol. 12, pp. 130413-130424, Sept. 2024. (SCI)
C.-C. Hsu, P.-J. Hwang, W.-Y. Wang, Y.-T. Wang, and C.-K. Lu, “Vision-based mobile collaborative robot incorporating a multi-camera localization system,” IEEE Sensors Journal, vol. 23, no. 18, pp. 21853-21861, Sept. 2023. (SCI) (Google Scholar Times cited: 7; ISI Times cited: 5)
M.-J. Hsu, P.-C. Yeh, Y.-H. Chien, C.-K. Lu, W.-Y. Wang, C.-C. Hsu, “A Chinese calligraphy-writing robotic system based on image-to-action translations and a hypothesis generation net,” IEEE Access, vol. 11, pp. 25801-25816, March 2023. (SCI) (Google Scholar Times cited: 7; ISI Times cited: 2)
S.-T. Wang, I-H. Li, and W.-Y. Wang, “Human action recognition of autonomous mobile robot using edge-AI,” IEEE Sensors Journal, vol. 23, no. 2, pp. 1671-1682, Jan. 2023. (SCI) (Google Scholar Times cited: 8; ISI Times cited: 6)
S.-K. Huang, C.-C. Hsu, and W.-Y. Wang, “Person re-identification with improved performance by incorporating focal Tversky loss in AGW baseline,” Sensors, vol. 22, Dec. 2022. (SCI) (Google Scholar Times cited: 5; ISI Times cited: 3)
C.-W. Peng, C.-C. Hsu, and W.-Y. Wang, “Mobile mapping system for automatic extraction of geodetic coordinates for traffic signs based on enhanced point cloud reconstruction,” IEEE Access, vol. 10, pp. 117374-117384, Nov. 2022. (SCI) (Google Scholar Times cited: 1)
W.-Y. Wang, M.-J. Hsu, Y.-H. Chien, C.-C. Hsu, H.-H. Chiang, and L.-A. Yu, “Cognitive system of a virtual robot based on perception, memory, and hypothesis models for calligraphy writing task,” IEEE Access, vol. 10, pp. 117782-117795, Nov. 2022. (SCI) (Google Scholar Times cited: 2)
P.-J. Hwang, C.-C. Hsu, P.-Y. Chou, W.-Y. Wang, and C.-H. Lin, “Vision-based learning from demonstration system for robot arms,” Sensors, vol. 22, no. 7, March 2022. (SCI) (Google Scholar Times cited: 14; ISI Times cited: 9)
J.-K. You, C.-C. Hsu, W.-Y. Wang, and S.-K. Huang, “Object pose estimation incorporating projection loss and discriminative refinement,” IEEE Access, vol. 9, Feb. 2021. (SCI) (Google Scholar Times cited: 10; ISI Times cited: 4)
S.-Y. Chen, Z.-J. Chien, W.-Y. Wang, and H.-H. Chiang, “Contour tracking control of a linear motors-driven X-Y-Y stage using auto-tuning cross-coupled 2DOF PID control approach,” Applied Sciences, vol. 10, no. 24, pp. 1-22, Dec. 2020. (SCI) (Google Scholar Times cited: 5; ISI Times cited: 4)
C.-W. Peng, C.-C. Hsu, and W.-Y. Wang, “Cost effective mobile mapping system for color point cloud reconstruction,” Sensors, vol. 20, no. 22, Nov. 2020. (SCI) (Google Scholar Times cited: 10; ISI Times cited: 5)
J.-K. Tsai, C.-C. Hsu, W.-Y. Wang, and S.-K. Huang, “Deep learning-based real-time multiple-person action recognition system,” Sensors, vol. 20, no. 17, pp. 1-17, Aug. 2020. (SCI) (Google Scholar Times cited: 51; ISI Times cited: 25)
S.-K. Huang, C.-C. Hsu, W.-Y. Wang, and C.-H. Lin, “Iterative pose refinement for object pose estimation based on RGBD data,” Sensors, vol. 20, no. 15, July 2020. (SCI) (Google Scholar Times cited: 5; ISI Times cited: 3)
W.-Y. Wang, M.-J. Hsu, L.-A. Yu, Y.-H. Chien, and C.-C. Hsu, “Deep learning-based hypothesis generation model and its application on virtual Chinese calligraphy-writing robot,” IEEE Access, vol. 8, no. 1, pp. 87243-87251, May 2020. (SCI) (Google Scholar Times cited: 14; ISI Times cited: 7)
P.-J. Hwang, C.-C. Hsu, and W.-Y. Wang, “Development of a mimic robot-learning from demonstration incorporating object detection and multiaction recognition,” IEEE Consumer Electronics Magazine, vol. 9, no. 3, pp. 79-87, May 2020. (SCI) (Google Scholar Times cited: 24; ISI Times cited: 9)
C.-H. Chien, C.-C. Hsu, W.-Y. Wang, and H.-H. Chiang, “Indirect visual simultaneous localization and mapping based on linear models,” IEEE Sensors Journal, vol. 20, no. 5, pp. 2738-2747, March 2020. (SCI) (Google Scholar Times cited: 12; ISI Times cited: 10)
M.-J. Hsu, Y.-H. Chien, W.-Y. Wang, and C.-C. Hsu, “A convolutional fuzzy neural network architecture for object classification with small training database,” International Journal of Fuzzy Systems, vol. 22, no. 1, pp. 1-10, Jan. 2020. (SCI) (Google Scholar Times cited: 49; ISI Times cited: 30)
Y.-H. Chien, M.-J. Hsu, L.-A. Yu, W.-Y. Wang, and C.-C. Hsu, “Robotic calligraphy system using Delta-like robot manipulator and virtual brush model,” International Journal of iRobotics, vol. 2, no. 4, pp. 1-6, Dec. 2019. (Google Scholar Times cited: 5)
J. Baltes, D.-W. Kung, W.-Y. Wang, and C.-C. Hsu, “Adaptive computational SLAM incorporating strategies of exploration and path planning,” Knowledge Engineering Review, Dec. 2019. (SCI) (Google Scholar Times cited: 4; ISI Times cited: 3)
C.-H. Lin, W.-Y. Wang, S.-H. Liu, C.-C. Hsu, and C.-C. Chien, “Heterogeneous implementation of a novel indirect visual odometry system,” IEEE Access, vol. 7, pp. 34631-34644, March 2019. (SCI) (Google Scholar Times cited: 8; ISI Times cited: 5)
I-H. Li, W.-Y. Wang, C.-Y. Li, J.-Z. Kao, and C.-C. Hsu, “Cloud-based improved Monte Carlo localization algorithm with robust orientation estimation for mobile robots,” Engineering Computations, vol. 36, no. 1, pp. 178-203, Feb. 2019. (SCI) (Google Scholar Times cited: 10; ISI Times cited: 4)
S.-A. Li, W.-Y. Wang, W.-Z. Pan, C.-C. Hsu, and C.-K. Lu, “FPGA-based hardware design for scale-invariant feature transform,” IEEE Access, vol. 6, pp. 43850-43864, Aug. 2018. (SCI) (Google Scholar Times cited: 23; ISI Times cited: 11)
C.-C. Hsu, W.-Y. Wang, Y.-H. Chien, and R.-Y. Hou, “FPGA implementation of improved ant colony optimization algorithm based on pheromone diffusion mechanism for path planning,” Journal of Marine Science and Technology, vol. 26, no. 2, pp. 170-179, April 2018. (Google Scholar Times cited: 11; ISI Times cited: 7)
C.-C. Hsu, C.-K. Yang, Y.-T. Wang, W.-Y. Wang, and C.-H. Chien, “Computationally efficient algorithm for vision-based simultaneous localization and mapping of mobile robots,” Engineering Computations, vol. 34, no. 4, pp. 1217-1239, Aug. 2017. (SCI) (Google Scholar Times cited: 6; ISI Times cited: 5)
C.-C. Hsu, W.-Y. Wang, T.-Y. Lin, Y.-T. Wang, and T.-W. Huang, “Enhanced simultaneous localization and mapping (ESLAM) for mobile robots,” International Journal of Humanoid Robotics, vol. 14, no. 2, pp. 1-17, 2017. (SCI) (Google Scholar Times cited: 5; ISI Times cited: 2)
C.-H. Chien, W.-Y. Wang, and C.-C. Hsu, “Multi-objective evolutionary approach to prevent premature convergence in Monte Carlo localization,” Applied Soft Computing, vol. 50, pp. 260-279, Jan. 2017. (SCI) (Google Scholar Times cited: 11; ISI Times cited: 8)
Y.-H. Chien, W.-Y. Wang, and C.-C. Hsu, “Run-time efficient observer-based fuzzy-neural controller for nonaffine multivariable systems with dynamical uncertainties,” Fuzzy Sets and Systems, vol. 302, pp. 1-26, Nov. 2016. (SCI) (Google Scholar Times cited: 5; ISI Times cited: 5)
W.-Y. Wang, Y.-H. Chien, Y.-G. Leu, and C.-C. Hsu, “Mean-based fuzzy control for a class of MIMO robotic systems,” IEEE Trans. on Fuzzy Systems, vol. 24, no. 4, pp. 966-980, Aug. 2016. (SCI) (Google Scholar Times cited: 6; ISI Times cited: 6)
I-H. Li, M.-C. Chen, W.-Y. Wang, S.-F. Su, and Y.-H. Chen, “Monocular image-based local collision-free path planning for autonomous robots,” Journal of Marine Science and Technology, vol. 24, no. 4, pp. 759-770, Aug. 2016. (SCI) (Google Scholar Times cited: 2; ISI Times cited: 2)
I-H. Li, Y.-H. Chien, W.-Y. Wang, and Y.-F. Kao, “Hybrid intelligent algorithm for indoor path planning and trajectory-tracking control of wheeled mobile robot,” International Journal of Fuzzy Systems, vol. 18, no. 4, pp. 595-608, Aug. 2016. (SCI) (Google Scholar Times cited: 32; ISI Times cited: 12)
C.-C. Hsu, H.-Y. Huang, M.-W. Huang, W.-Y. Wang, and C.-H. Chien, “FPGA-based contact lenses try-on system,” Invention Journal of Research Technology in Engineering & Management, vol. 1, no. 4, pp. 1-4, June 2016.
C.-H. Chien, W.-Y. Wang, J. Jo, and C.-C. Hsu, “Enhanced Monte Carlo localization incorporating a mechanism for preventing premature convergence,” Robotica, pp. 1-19, May 2016. (SCI) (Google Scholar Times cited: 9; ISI Times cited: 7)
C.-Y. Tzou, M.-J. Hsu, J.-Z. Jian, Y.-H. Chien, W.-Y. Wang, and C.-C. Hsu, “Mathematical analysis and practical applications of a serial-parallel robot with delta-like architecture,” International Journal of Engineering Research & Science, vol. 2, no. 5, pp. 80-91, May 2016. (Google Scholar Times cited: 5)
Y.-H. Chien, W.-Y. Wang, and Y.-G. Leu, “On-line hybrid intelligent tracking control for a class of nonaffine multivariable systems,” International Journal of Fuzzy Systems, vol. 17, no. 1, pp. 39-52, March 2015. (SCI) (Google Scholar Times cited: 5; ISI Times cited: 3)
I-H. Li, W.-Y. Wang, and C.-K. Tseng, “A Kinect-sensor-based tracked robot for exploring and climbing stairs,” International Journal of Advanced Robotic Systems, vol. 11, pp. 1-11, May 2014. (SCI) (Google Scholar Times cited: 18; ISI Times cited: 9)
I-H. Li, M.-C. Chen, W.-Y. Wang, S.-F. Su, and T.-W. Lai, “Mobile robot self-localization system using single webcam distance measurement technology in indoor environments,” Sensors, vol. 14, no. 2, pp. 2089-2109, Jan. 2014. (SCI) (Google Scholar Times cited: 28; ISI Times cited: 11)
I-H. Li, W.-Y. Wang, Y.-H. Chien, and N.-H. Fang, “Autonomous ramp detection and climbing systems for tracked robot using Kinect sensor,” International Journal of Fuzzy Systems, vol. 15, no. 4, pp. 452-459, Dec. 2013. (SCI) (Google Scholar Times cited: 14; ISI Times cited: 11)
W.-Y. Wang, M.-C. Chen, and S.-F. Su, “Hierarchical T-S fuzzy-neural control of anti-lock braking system and active suspension in a vehicle,” Automatica, vol. 48, no. 8, pp. 1698-1706, Aug. 2012. (SCI) (Google Scholar Times cited: 77; ISI Times cited: 51)
Y.-H. Chien, W.-Y. Wang, I-H. Li, K.-Y. Lian, and T.-T. Lee, “Hybrid intelligent output-feedback control for trajectory tracking of uncertain nonlinear multivariable dynamical systems,” International Journal of Fuzzy Systems, vol. 14, no. 1, pp. 141-153, March 2012. (SCI) (Google Scholar Times cited: 10; ISI Times cited: 7)
W.-Y. Wang, Y.-H. Chien, and T.-T. Lee, “Observer-based T-S fuzzy control for a class of general nonaffine nonlinear systems using generalized projection-update laws,” IEEE Trans. on Fuzzy Systems, vol. 18, no. 3, pp. 493-504, June 2011. (SCI) (Google Scholar Times cited: 58; ISI Times cited: 48)
Y.-H. Chien, W.-Y. Wang, Y.-G. Leu, and T.-T. Lee, “Robust adaptive controller design for a class of uncertain nonlinear systems using online T-S fuzzy-neural modeling approach,” IEEE Trans. on Systems, Man, and Cybernetics-Part B, vol. 41, no. 2, pp. 542-552, April 2011. (SCI) (Google Scholar Times cited: 74; ISI Times cited: 55)
Y.-G. Leu, Z.-H. Lee, and W.-Y. Wang, “Adaptive neural controller with nonlinear parameterization for nonaffine nonlinear systems,” International Journal of Intelligent Systems Science and Technology, vol. 2, no. 1, pp. 58-66, 2010.
H.-H. Kao, Y.-G. Leu, and W.-Y. Wang, “Wavelet-based adaptive control for uncertain nonaffine systems with actuator saturation,” International Journal of Intelligent Systems Science and Technology, vol. 2, no. 2, pp. 38-44, 2010.
M.-C. Chen, W.-Y. Wang, S.-F. Su, and Y.-H. Chien, “Robust T-S fuzzy-neural control of uncertain active suspension systems,” International Journal of Fuzzy Systems, vol. 12, no. 4, pp. 321-329, Dec. 2010. (SCI) (Google Scholar Times cited: 20; ISI Times cited: 15)
W.-Y. Wang, I-H. Li, M.-C. Chen, S.-F. Su, and Y.-G. Leu, “New time-efficient structure for observer-based adaptive fuzzy-neural controllers for nonaffine nonlinear systems,” International Journal of Innovative Computing, Information and Control, vol. 6, no. 3, pp.963-978, 2010. (SCI) (Google Scholar Times cited: 6; ISI Times cited: 4)
W.-Y. Wang, Y.-H. Chien, Y.-G. Leu, and T.-T. Lee, “Adaptive T-S fuzzy-neural modeling and control for general MIMO unknown nonaffine nonlinear systems using projection update laws,” Automatica, vol. 46, pp.852-863, 2010. (SCI) (Google Scholar Times cited: 91; ISI Times cited: 73)
C.-C. Hsu, M.-C. Lu, W.-Y. Wang, and Y.-Y. Lu, “Three-dimensional measurement of distant objects based on laser-projected CCD images,” IET Science, Measurement & Technology, vol. 3, no. 3, pp. 197-207, May 2009. (SCI) (Google Scholar Times cited: 19; ISI Times cited: 14)
C.-C. Hsu, M.-C. Lu, W.-Y. Wang, and Y.-Y. Lu, “Distance measurement based on pixel variation of CCD images,” ISA Transactions, vol. 48, no. 4, pp. 389-395, 2009. (SCI) (Google Scholar Times cited: 63; ISI Times cited: 34)
P.-Z. Lin, W.-Y. Wang, T.-T. Lee, and C.-H. Wang, “On-line genetic algorithm-based fuzzy-neural sliding mode controller using improved adaptive bound reduced-form genetic algorithm,” International Journal of Systems Science, vol. 40, no. 6, pp. 571-585, June 2009. (SCI) (Google Scholar Times cited: 10; ISI Times cited: 8)
W.-Y. Wang, C.-M. Hong, M.-F. Kuo and Y.-G. Leu, “RBF neural network adaptive backstepping controllers for nonlinear systems,” International Journal of Intelligent Systems Science and Technology, vol. 1, no. 1, pp. 31-39, June 2009. (Google Scholar Times cited: 9)
C.-W. Tao, J.-S. Taur, J.-T. Jeng, and W.-Y. Wang, “A novel fuzzy ant colony system for parameter determination of fuzzy controllers,” International Journal of Fuzzy Systems, vol. 11, no. 4, pp. 298-307, Dec. 2009. (SCIE) (Google Scholar Times cited: 16; ISI Times cited: 7)
W.-Y. Wang, I-H. Li, S.-C. Li, M.-S. Tsai, and S.-F. Su, “A dynamic hierarchical fuzzy neural network for a general continuous function,” International Journal of Fuzzy Systems, vol. 11, no. 2, pp. 130-136, June 2009. (SCIE) (Google Scholar Times cited: 11; ISI Times cited: 9)
Y.-G. Leu, W.-Y. Wang, and I-H. Li, “RGA-based on-line tuning of BMF fuzzy-neural networks for adaptive control of uncertain nonlinear systems,” Neurocomputing, vol. 72, pp. 2636-2642, June 2009. (SCI) (Google Scholar Times cited: 27; ISI Times cited: 15)
W.-Y. Wang, I-H. Li, M.-C. Chen, S.-F. Su, and S.-B. Hsu, “Dynamic slip ratio estimation and control of antilock braking systems using an observer-based direct adaptive fuzzy-neural controller,” IEEE Trans. on Industrial Electronics, vol. 56, no. 5, pp. 1746-1756, 2009. (SCI) (Google Scholar Times cited: 118; ISI Times cited: 69)
Y.-S. Lee, W.-Y. Wang, and T.-Y. Kuo, “Soft computing for battery state-of-charge (BSOC) estimation in battery string systems,” IEEE Trans. on Industrial Electronics, vol. 55, no. 1, pp. 229-239, Jan. 2008. (SCI) (Google Scholar Times cited: 167; ISI Times cited: 109)
W.-Y. Wang, Y.-H. Chien, Y.-G. Leu, and T.-T. Lee, “On-line adaptive T-S fuzzy-neural control for a class of general multi-link robot manipulators,” International Journal of Fuzzy Systems, vol. 10, no. 4, pp. 240-249, Dec. 2008. (SCIE) (Google Scholar Times cited: 17; ISI Times cited: 16)
W.-Y. Wang, Y.-H. Chien, and I-H. Li, “An on-line robust and adaptive T-S fuzzy-neural controller for more general unknown systems,” International Journal of Fuzzy Systems, vol. 10, no. 1, pp. 33-43, March 2008. (SCIE) (Google Scholar Times cited: 47; ISI Times cited: 32)
G.-M. Chen, P.-Z. Lin, W.-Y. Wang, T.-T. Lee, and C.-H Wang, “Image-based fuzzy control system,” Electronics Letters, vol. 44, no. 7, pp. 461-462, March 2008. (SCI) (Google Scholar Times cited: 10; ISI Times cited: 6)
Y.-G. Leu and W.-Y. Wang, “Output feedback adaptive fuzzy control for manipulators,” Dynamics of Continuous, Discrete and Impulsive Systems Series B, Applications and Algorithms, vol. 3, pp. 1194-1198, 2007. (Google Scholar Times cited: 7)
W.-Y. Wang, M.-C. Lu, T.-H. Wang, and Y.-Y. Lu, “Electro-optical distance and area measuring method,” WSEAS Trans. on Systems, vol. 6, no. 5, pp. 914-919, May 2007. (EI) (Google Scholar Times cited: 2)
W.-Y. Wang, M.-C. Lu, H.-L. Kao, and C.-Y. Chu, “Nighttime vehicle distance measuring systems,” IEEE Trans. on Circuits and Systems II: Express Briefs, vol. 54, no. 1, pp. 81-85, Jan. 2007. (SCI) (Google Scholar Times cited: 36; ISI Times cited: 14)
W.-Y. Wang, I-H. Li, L.-C. Chien, and S.-F. Su, “On-line modeling and control via T-S fuzzy models for nonaffine nonlinear systems using a second type adaptive fuzzy approach,” International Journal of Fuzzy Systems, vol. 9, no. 3, pp. 152-161, Sept. 2007. (SCIE) (Google Scholar Times cited: 10; ISI Times cited: 7)
W.-Y. Wang, I-H. Li, S.-F. Su, and C.-W. Tao, “Identification of four types of high-order discrete-time nonlinear systems using Hopfield neural networks,” Dynamics of Continuous, Discrete and Impulsive Systems, Series B, vol. 14, pp. 57-66, 2007. (Google Scholar Times cited: 3; ISI Times cited: 0)
I-H. Li, W.-Y. Wang, S.-F. Su, and Y.-S. Lee, “A merged fuzzy neural network and its applications in battery state-of-charge estimation,” IEEE Trans. on Energy Conversion, vol. 22, no. 3, pp. 697-708, Sept. 2007. (SCI) (Google Scholar Times cited: 211; ISI Times cited: 140)
G.-M. Chen, W.-Y. Wang, T.-T. Lee, and C.-W. Tao, “Observer-based direct adaptive fuzzy-neural control for anti-lock braking systems,” International Journal of Fuzzy Systems, vol. 8, no. 4, pp. 208-218, Dec. 2006. (EI) (Google Scholar Times cited: 21)
M.-C. Lu, W.-Y. Wang, and C.-Y. Chu, “Image-based distance and area measuring systems,” IEEE Sensors Journal, vol. 6, no. 2, pp. 495-503, April 2006. (SCI) (Google Scholar Times cited: 83; ISI Times cited: 42)
J.-L. Wu, W.-Y. Wang, and T.-T. Lee, “Robust H-infinity output feedback control for discrete-time nonaffine nonlinear systems with structured uncertainties,” International Mathematical Forum-Journal for Theory and Applications, vol. 1, no. 27, pp. 1297-1312, 2006. (Google Scholar Times cited: 3)
Y.-G. Leu, W.-Y. Wang, and T.-T. Lee, “Observer-based direct adaptive fuzzy-neural control for nonaffine nonlinear systems,” IEEE Trans. on Neural networks, vol. 16, no. 4, pp. 853-861, July 2005. (SCI) (Google Scholar Times cited: 268; ISI Times cited: 195)
C.-C. Hsu, T.-C. Lu, and W.-Y. Wang, “Model reduction of discrete interval systems using genetic algorithms,” WSEAS Trans. on Systems, vol. 4, no. 11, pp. 2073-2080, Nov. 2005. (EI)
W.-Y. Wang, C.-W. Tao, and C.-G. Chang, “Adaptive bound reduced-form genetic algorithms for B-spline neural network training,” IEICE Trans. on Information, vol. E87-D, no. 11, pp. 2479-2488, Nov. 2004. (SCI) (Google Scholar Times cited: 11; ISI Times cited: 7)
C.-W. Tao, W.-Y. Wang, and M.-L. Chan, “Design of sliding mode controllers for bilinear systems with time varying uncertainties,” IEEE Trans. on Systems, Man, and Cybernetics-Part B, vol. 34, no. 1, pp. 639-645, Feb. 2004. (SCI) (Google Scholar Times cited: 48; ISI Times cited: 28)
K.-C. Hsu, W.-Y. Wang, and P.-Z. Lin, “Sliding mode control for uncertain nonlinear systems with multiple inputs containing sector nonlinearities and deadzones,” IEEE Trans. on Systems, Man, and Cybernetics-Part B, vol. 34, no. 1, pp. 374-380, Feb. 2004. (SCI) (Google Scholar Times cited: 88; ISI Times cited: 58)
W.-Y. Wang, C.-Y. Cheng, and Y.-G. Leu, “An online GA-based output-feedback direct adaptive fuzzy-neural controller for uncertain nonlinear systems,” IEEE Trans. on Systems, Man, and Cybernetics-Part B, vol. 34, no. 1, pp. 334-345, Feb. 2004. (SCI) (Google Scholar Times cited: 126; ISI Times cited: 61)
W.-Y. Wang and Y.-H. Li, “Evolutionary learning of BMF fuzzy-neural networks using a reduced-form genetic algorithm,” IEEE Trans. on Systems, Man, and Cybernetics-Part B, vol. 33, no. 6, pp. 966-976, Dec. 2003. (SCI) (Google Scholar Times cited: 82; ISI Times cited: 38)
W.-Y. Wang, Y.-G. Leu, and T.-T. Lee, “Output-feedback control of nonlinear systems using direct adaptive fuzzy-neural controller,” Fuzzy Sets and Systems, vol. 140, no. 2, pp. 341-358, 2003. (SCI) (Google Scholar Times cited: 70; ISI Times cited: 54)
W.-Y. Wang, M.-L. Chan, C.-C. James Hsu, and T.-T. Lee, “H-infinity tracking-based sliding mode control for uncertain nonlinear systems via an adaptive fuzzy-neural approach,” IEEE Trans. on Systems, Man, and Cybernetics-Part B, vol. 32, no. 4, pp. 483-492, Aug. 2002. (SCI) (Google Scholar Times cited: 200; ISI Times cited: 157)
C.-H. Chiao and W.-Y. Wang, “Reliability improvement of fluorescent lamp using grey forecasting model,” Microelectronics Reliability, vol. 42, no. 1, pp. 127-134, 2002. (SCI) (Google Scholar Times cited: 31; ISI Times cited: 13)
W.-Y. Wang, M.-L. Chan, T.-T. Lee, and C.-H. Liu, “Recursive back-stepping design of an adaptive fuzzy controller for strict output feedback nonlinear systems,” Asian Journal of Control, vol. 4, no.3, pp. 255-264, Sep. 2002. (SCI) (Google Scholar Times cited: 20)
W.-Y. Wang, Y.-G. Leu, and C.-C. Hsu, “Robust adaptive fuzzy-neural control of nonlinear dynamical systems using generalized projection update law and variable structure controller,” IEEE Trans. on Systems, Man, and Cybernetics-Part B, vol. 31, no. 1, pp. 140-147, Feb. 2001. (SCI) (Google Scholar Times cited: 79; ISI Times cited: 40)
W.-Y. Wang and H.-C. Huang, “GA-based evolutionary design of PID controller for twin rotor multi-input multi-output system,” Fu Jen Studies (Science and Engineering), vol. 35, pp. 119-134, Dec. 2001. (Google Scholar Times cited: 29)
W.-Y. Wang, M.-L. Chan, T.-T. Lee, and C.-H. Liu, “Adaptive fuzzy control for strict-feedback canonical nonlinear systems with H-infinity tracking performance,” IEEE Trans. on Systems, Man, and Cybernetics-Part B, vol. 30, no. 6, pp. 878-885, Dec. 2000. (SCI) (Google Scholar Times cited: 108; ISI Times cited: 83)
C.-C. Hsu and W.-Y. Wang, “Discrete modeling of uncertain continuous systems having an interval structure using higher-order integrators,” International Journal of Systems Science, vol. 31, no. 4, pp. 467-477, Jan. 2000. (SCI) (Google Scholar Times cited: 13; ISI Times cited: 12)
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Y.-G. Leu, T.-T. Lee, and W.-Y. Wang, “Observer-based adaptive fuzzy-neural control for unknown nonlinear dynamical systems,” IEEE Trans. on Systems, Man, and Cybernetics-Part B, vol. 29, no. 5, pp. 583-591, Oct. 1999. (SCI) (Google Scholar Times cited: 411; ISI Times cited: 292)
C.-H. Wang, C.-C. Hsu, and W.-Y. Wang, “Approximation z transform using higher-order integrators and its applications in sampled-data control systems,” International Journal of Systems Science, vol. 29, no. 6, pp. 595-604, June 1998. (SCI) (Google Scholar Times cited: 11; ISI Times cited: 6)
W.-Y. Wang, T.-T. Lee, C.-L. Liu, and C.-H. Wang, “Function approximation using fuzzy neural networks with robust learning algorithm,” IEEE Trans. on Systems, Man, and Cybernetics-Part B, vol. 27, no. 4, pp. 740-747, Aug. 1997. (SCI) (Google Scholar Times cited: 134; ISI Times cited: 89)
Y.-G. Leu, T.-T. Lee, and W.-Y. Wang, “On-line tuning of fuzzy-neural network for adaptive control of nonlinear dynamical systems,” IEEE Trans. on Systems, Man, and Cybernetics-Part B, vol. 27, no. 6, pp. 1034-1043, Dec. 1997. (SCI) (Google Scholar Times cited: 139; ISI Times cited: 95)
C.-H. Wang, W.-Y. Wang, and C.-C. Hsu, “Minimum-phase criteria for sampled systems via symbolic approach,” International Journal of Systems Science, vol. 28, no. 8, pp. 767-775, 1997. (SCI) (Google Scholar Times cited: 8; ISI Times cited: 5)
C.-H. Wang, W.-Y. Wang, and C.-C. Hsu, “Impact of sampling time on Tustin digitization,” Control and Computers, vol. 24, no. 3, pp.79-84, 1996.
C.-H. Wang, W.-Y. Wang, T.-T. Lee, and P.-S. Tseng, “Fuzzy B-spline membership function (BMF) and its applications in fuzzy-neural control,” IEEE Trans. on Systems, Man, and Cybernetics, vol. 25, no. 5, pp. 841-851, May 1995. (SCI) (Google Scholar Times cited: 185; ISI Times cited: 108)
C.-H. Wang, W.-Y. Wang, and T.-T. Lee, “Sampling-time effects of higher-order digitisations and their applications in digital redesign,” IEE Proceedings: Control Theory and Applications, vol.141, no.2, pp. 83-92, March 1994. (EI) (Google Scholar Times cited: 15; ISI Times cited: 6)
C.-H. Wang and W.-Y. Wang, “ESCSD-Expert system for control system design,” Journal of the Chinese Institute of Engineers, vol. 15, no. 4, pp. 467-476, June 1992. (EI)