His scientific interests lie mostly in Control theory, Nonlinear system, Fuzzy logic, Adaptive control and Control theory. Backstepping, Control system, Tracking error, Lyapunov function and Adaptive system are among the areas of Control theory where the researcher is concentrating his efforts. He usually deals with Control system and limits it to topics linked to Bounded function and Stability theory.
His Nonlinear system research integrates issues from Artificial neural network, Multi-agent system and Actuator. His work carried out in the field of Fuzzy logic brings together such families of science as Nonlinear control and Dead zone. His biological study deals with issues like Robustness, which deal with fields such as Mathematical optimization and Control engineering.
His primary scientific interests are in Control theory, Nonlinear system, Fuzzy logic, Control theory and Adaptive control. Tracking error, Backstepping, Fuzzy control system, Actuator and Control system are the core of his Control theory study. His Fuzzy control system study incorporates themes from Nonlinear control and Mathematical optimization.
His studies deal with areas such as Artificial neural network, Multi-agent system, Bounded function and Adaptive system as well as Nonlinear system. His Fuzzy logic research includes themes of Robot and Dead zone. His studies in Adaptive control integrate themes in fields like Robust control and Robustness.
Control theory, Nonlinear system, Control theory, Backstepping and Fuzzy logic are his primary areas of study. As part of his studies on Control theory, he frequently links adjacent subjects like Multi-agent system. His Nonlinear system research is multidisciplinary, incorporating perspectives in Artificial neural network, Bounded function, Stability and Adaptive system.
His Control theory research is multidisciplinary, incorporating elements of Quantization, High-voltage direct current, Stator, Variable-frequency transformer and Trajectory. His studies examine the connections between Fuzzy logic and genetics, as well as such issues in Control, with regards to Lipschitz continuity and Class. As a part of the same scientific study, Yun Zhang usually deals with the Actuator, concentrating on Adaptive control and frequently concerns with DC motor.
His primary areas of investigation include Control theory, Nonlinear system, Backstepping, Control theory and Tracking error. His study on Dead zone is often connected to Software simulation as part of broader study in Control theory. His research integrates issues of Artificial neural network, Bounded function, Adaptive system and Fuzzy logic in his study of Nonlinear system.
His Backstepping research is multidisciplinary, relying on both Multi-agent system and Actuator. His work is dedicated to discovering how Actuator, Adaptive control are connected with Control system and other disciplines. His work investigates the relationship between Control theory and topics such as Lyapunov function that intersect with problems in State observer and Fuzzy control system.
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Fuzzy Adaptive Quantized Control for a Class of Stochastic Nonlinear Uncertain Systems
Zhi Liu;Fang Wang;Yun Zhang;C. L. Philip Chen.
IEEE Transactions on Systems, Man, and Cybernetics (2016)
Adaptive least squares support vector machines filter for hand tremor canceling in microsurgery
Zhi Liu;Qihang Wu;Yun Zhang;C. L. Philip Chen;C. L. Philip Chen.
International Journal of Machine Learning and Cybernetics (2011)
Adaptive Fuzzy Control for a Class of Stochastic Pure-Feedback Nonlinear Systems With Unknown Hysteresis
Fang Wang;Zhi Liu;Yun Zhang;C. L. Philip Chen.
IEEE Transactions on Fuzzy Systems (2016)
Adaptive Neural Control for Dual-Arm Coordination of Humanoid Robot With Unknown Nonlinearities in Output Mechanism
Zhi Liu;Ci Chen;Yun Zhang;C. L. P. Chen.
IEEE Transactions on Systems, Man, and Cybernetics (2015)
Adaptive Consensus of Nonlinear Multi-Agent Systems With Non-Identical Partially Unknown Control Directions and Bounded Modelling Errors
Ci Chen;Changyun Wen;Zhi Liu;Kan Xie.
IEEE Transactions on Automatic Control (2017)
Adaptive Neural Output Feedback Control of Output-Constrained Nonlinear Systems With Unknown Output Nonlinearity
Zhi Liu;Guanyu Lai;Yun Zhang;Chun Lung Philip Chen.
IEEE Transactions on Neural Networks (2015)
Fuzzy Adaptive Inverse Compensation Method to Tracking Control of Uncertain Nonlinear Systems With Generalized Actuator Dead Zone
Guanyu Lai;Zhi Liu;Yun Zhang;C. L. Philip Chen.
IEEE Transactions on Fuzzy Systems (2017)
Adaptive Neural Control for a Class of Nonlinear Time-Varying Delay Systems With Unknown Hysteresis
Zhi Liu;Guanyu Lai;Yun Zhang;Xin Chen.
IEEE Transactions on Neural Networks (2014)
Adaptive Visual Tracking Control for Manipulator With Actuator Fuzzy Dead-Zone Constraint and Unmodeled Dynamic
Zhi Liu;Fujie Wang;Yun Zhang.
systems man and cybernetics (2015)
A Type-2 Fuzzy Switching Control System for Biped Robots
Zhi Liu;Yun Zhang;Yaonan Wang.
systems man and cybernetics (2007)
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