G
Gang Feng
Researcher at City University of Hong Kong
Publications - 635
Citations - 30855
Gang Feng is an academic researcher from City University of Hong Kong. The author has contributed to research in topics: Fuzzy control system & Control theory. The author has an hindex of 82, co-authored 611 publications receiving 26012 citations. Previous affiliations of Gang Feng include University of New South Wales & Hangzhou Dianzi University.
Papers
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A Survey on Analysis and Design of Model-Based Fuzzy Control Systems
TL;DR: A survey on recent developments (or state of the art) of analysis and design of model based fuzzy control systems based on the so-called Takagi-Sugeno fuzzy models or fuzzy dynamic models.
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Technical communique: Distributed event-triggered control of multi-agent systems with combinational measurements
TL;DR: A combinational measurement approach to event design and a new iterative event-triggered algorithm where continuous measurement of the neighbor states is avoided are proposed, which reduces the amount of communication and lowers the frequency of controller updates in practice.
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Event-based consensus of multi-agent systems with general linear models
TL;DR: The advantage of the event-based strategy is the significant decrease of the number of controller updates for cooperative tasks of multi-agent systems involving embedded microprocessors with limited on-board resources.
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Consensus of Linear Multi-Agent Systems by Distributed Event-Triggered Strategy
Wenfeng Hu,Lu Liu,Gang Feng +2 more
TL;DR: A novel event-triggered control scheme with some desirable features, namely, distributed, asynchronous, and independent is proposed and it is shown that consensus of the controlled multi-agent system can be reached asymptotically.
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Adaptive output-feedback control design with prescribed performance for switched nonlinear systems
TL;DR: An output feedback control method with prescribed performance is proposed for single-input and single-output (SISO) switched non-strict-feedback nonlinear systems and it is shown that all the signals in the resulting closed-loop system are semi-globally uniformly ultimately bounded.