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An improved closed-loop droop control technique for higher utilization of power output capability in CCI Journal article
International Journal of Electrical Power and Energy Systems, 2019,Volume: 109,Page: 455-469
Authors:  Lao K.W.;  Dai N.;  Sheng J.
Favorite  |  View/Download：11/0  |  Submit date：2019/03/04
Capacitive-coupling inverters  Droop control  Power output control  
Nonlinear observer on SO(3) for attitude estimation on rotating earth using single vector measurements Journal article
IEEE Control Systems Letters, 2019,Volume: 3,Issue: 2,Page: 392-397
Authors:  Reis J.;  Batista P.;  Oliveira P.;  Silvestre C.
Favorite  |  View/Download：7/0  |  Submit date：2019/02/12
almost global stability  Attitude observer  single body-vector  spherical rotating earth  topological constraints  
Practical multi-objective control for automotive semi-active suspension system with nonlinear hydraulic adjustable damper Journal article
MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2019,Volume: 117,Page: 667-688
Authors:  Ma, Xinbo;  Wong, Pak Kin;  Zhao, Jing
Favorite  |  View/Download：29/0  |  Submit date：2018/10/30
Semi-active suspension  Multi-objective control  Damper control  Sliding mode control  Particle swarm optimization  Neural network  
Sine Chaotification Model for Enhancing Chaos and Its Hardware Implementation Journal article
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2019,Volume: 66,Issue: 2,Page: 1273-1284
Authors:  Hua, Zhongyun;  Zhou, Binghang;  Zhou, Yicong
Favorite  |  View/Download：52/0  |  Submit date：2018/10/30
Chaotic System  Chaotification  Chaos-based Application  Cryptography  Field-programmable Gate Array (Fpga) Implementation  Nonlinear Control  
Cooperation Control of Under-actuated Mobile Robots with RBF-NN Approximator Conference paper
2018 International Automatic Control Conference (CACS), Taoyuan, Taiwan, 2018-11
Authors:  Yu Z.;  Wong S.F.
Favorite  |  View/Download：5/0  |  Submit date：2019/03/28
Cooperation Control  Lyapunov Direct Method  Rbf Neural Networks  Tracking Control Algorithm  Underactuated Mobile Robot  
Mitigation of the harmonic injection in TCLC part and nonlinear hysteresis PWM control in active inverter part of thyristor controlled LC-coupling hybrid active power filter (TCLC-HAPF) Book
2019
Authors:  Wang L.;  Wong M.-C.;  Lam C.-S.
Favorite  |  View/Download：5/0  |  Submit date：2018/12/23
Active power filters  Harmonic current rejection  Hysteresis PWM  Pulse width modulations (PWMs)  Reactive power compensation  Smart grid  Thyristor controlled LC (TCLC) compensator  
Fuzzy Adaptive Compensation Control of Uncertain Stochastic Nonlinear Systems With Actuator Failures and Input Hysteresis Journal article
IEEE TRANSACTIONS ON CYBERNETICS, 2019,Volume: 49,Issue: 1,Page: 2-13
Authors:  Wang, Jianhui;  Liu, Zhi;  Chen, C. L. Philip;  Zhang, Yun
Favorite  |  View/Download：5/0  |  Submit date：2019/01/17
Actuator failure/fault  adaptive control  hysteresis  stochastic nonlinear systems  transient performance  
Adaptive Reinforcement Learning Control Based on Neural Approximation for Nonlinear Discrete-Time Systems With Unknown Nonaffine Dead-Zone Input Journal article
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019,Volume: 30,Issue: 1,Page: 295-305
Authors:  Liu, Yan-Jun;  Li, Shu;  Tong, Shaocheng;  Chen, C. L. Philip
Favorite  |  View/Download：1/0  |  Submit date：2019/01/17
Discrete-time systems  neural networks (NNs)  nonlinear systems  optimal control  reinforcement learning  
Fuzzy adaptive compensation control of uncertain stochastic nonlinear systems with actuator failures and input hysteresis Journal article
IEEE Transactions on Cybernetics, 2019,Volume: 49,Issue: 1,Page: 2-13
Authors:  Wang J.;  Liu Z.;  Chen C.L.P.;  Zhang Y.
Favorite  |  View/Download：3/0  |  Submit date：2019/02/11
Actuator failure/fault  adaptive control  hysteresis  stochastic nonlinear systems  transient performance  
Adaptive Reinforcement Learning Control Based on Neural Approximation for Nonlinear Discrete-Time Systems with Unknown Nonaffine Dead-Zone Input Journal article
IEEE Transactions on Neural Networks and Learning Systems, 2019,Volume: 30,Issue: 1,Page: 295-305
Authors:  Liu Y.-J.;  Li S.;  Tong S.;  Chen C.L.P.
Favorite  |  View/Download：2/0  |  Submit date：2019/02/11
Discrete-time systems  neural networks (NNs)  nonlinear systems  optimal control  reinforcement learning