His primary areas of study are Control theory, Fuzzy control system, Control theory, Nonlinear system and Fuzzy logic. His study in Lyapunov function, Control system, Robust control, Backstepping and Exponential stability is done as part of Control theory. His studies deal with areas such as Piecewise, Fuzzy number, Mathematical optimization, Adaptive control and Robustness as well as Fuzzy control system.
His work deals with themes such as Robot and Multi-agent system, Consensus, which intersect with Control theory. Gang Feng combines subjects such as Control, Event triggered and Distributed computing with his study of Multi-agent system. His studies in Nonlinear system integrate themes in fields like Bounded function and Residual.
His primary scientific interests are in Control theory, Fuzzy control system, Control theory, Nonlinear system and Fuzzy logic. His study in Adaptive control, Control system, Discrete time and continuous time, Robust control and Lyapunov function is carried out as part of his studies in Control theory. Gang Feng has included themes like Fuzzy number, Sliding mode control, Mathematical optimization and Piecewise in his Fuzzy control system study.
He interconnects Artificial neural network and Convergence in the investigation of issues within Mathematical optimization. His Control theory research is multidisciplinary, relying on both Stability and Multi-agent system. His research investigates the link between Multi-agent system and topics such as Distributed computing that cross with problems in Consensus.
Gang Feng mainly investigates Control theory, Multi-agent system, Control theory, Bounded function and Consensus. The concepts of his Control theory study are interwoven with issues in Control and Fuzzy logic. Gang Feng studies Fuzzy logic, namely Fuzzy control system.
His Multi-agent system study incorporates themes from Event triggered, Distributed computing, State, Laplacian matrix and Network topology. The study incorporates disciplines such as Control system, Discrete time and continuous time, Frequency domain and Nonholonomic system in addition to Control theory. His Consensus research focuses on subjects like Integrator, which are linked to Mathematical optimization.
Control theory, Multi-agent system, Consensus, Adaptive control and Control theory are his primary areas of study. His work in Control theory covers topics such as Bounded function which are related to areas like Directed graph. His Multi-agent system study combines topics from a wide range of disciplines, such as Network topology, Control, Decentralised system and Synchronization.
His research integrates issues of Distributed computing and Output feedback in his study of Consensus. His Adaptive control study combines topics in areas such as Mathematical optimization and Laplacian matrix. His Control system research is multidisciplinary, incorporating elements of Fuzzy control system and Fuzzy logic.
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A Survey on Analysis and Design of Model-Based Fuzzy Control Systems
Gang Feng.
IEEE Transactions on Fuzzy Systems (2006)
Technical communique: Distributed event-triggered control of multi-agent systems with combinational measurements
Yuan Fan;Gang Feng;Yong Wang;Cheng Song.
Automatica (2013)
DSC Approach to Robust Adaptive Fuzzy Tracking Control for Strict-Feedback Nonlinear Systems
Tie-Shan Li;Dan Wang;Gang Feng;Shao-Cheng Tong.
fuzzy systems and knowledge discovery (2008)
A New Design of Delay-Dependent Robust ${\cal H}_{m \infty}$ Filtering for Discrete-Time T--S Fuzzy Systems With Time-Varying Delay
Jianbin Qiu;Gang Feng;Jie Yang.
IEEE Transactions on Fuzzy Systems (2009)
Analysis and design for a class of complex control systems part II: fuzzy controller design
S. G. Cao;N. W. Rees;G. Feng.
Automatica (1997)
A combined backstepping and small-gain approach to robust adaptive fuzzy control for strict-feedback nonlinear systems
Yansheng Yang;Gang Feng;Junsheng Ren.
systems man and cybernetics (2004)
Brief paper: Distributed tracking control of leader-follower multi-agent systems under noisy measurement
Jiangping Hu;Gang Feng.
Automatica (2010)
Observer-Based Output Feedback Event-Triggered Control for Consensus of Multi-Agent Systems
Hao Zhang;Gang Feng;Huaicheng Yan;Qijun Chen.
IEEE Transactions on Industrial Electronics (2014)
Analysis and design for a class of complex control systems part I: fuzzy modelling and identification
S. G. Cao;N. W. Rees;G. Feng.
Automatica (1997)
Event-based consensus of multi-agent systems with general linear models
Wei Zhu;Wei Zhu;Zhong-Ping Jiang;Gang Feng.
Automatica (2014)
Profile was last updated on December 6th, 2021.
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