A Hybrid System Approach Zhao, Guanglei. creator author. aut http://id.loc.gov/vocabulary/relators/aut Cui, Hailong. author. aut http://id.loc.gov/vocabulary/relators/aut Hua, Changchun. author. aut http://id.loc.gov/vocabulary/relators/aut Liu, Shuang. author. aut http://id.loc.gov/vocabulary/relators/aut SpringerLink (Online service) text si 2024 1st ed. 2024. monographic eng

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access XIV, 224 p. 65 illus., 63 illus. in color. online resource. This book focuses on stability analysis and control design approaches for multi-agent systems under network-induced constraints. A hybrid system approach is introduced to address the cooperative control problem of networked multi-agent systems, and several important topics such as asynchronous sampled data cooperative control, hybrid event-triggered cooperative control, and reset-based cooperative control are studied under the hybrid system framework. The special feature of this book is that a hybrid systems approach is proposed for the cooperative control of multi-agent systems, which is beneficial for relaxing the conservativeness of stability analysis and network parameter computation. Interested readers can learn a novel approach to cooperative control of multi-agent systems, and this book can benefit researchers, engineers, and graduate students in the fields of multi-robot cooperation, unmanned aerial vehicle formation, control engineering, etc. 1 Introduction -- 2 Sampled-Data Consensus Control of MAS with Time Delay -- 3 Sampled-Data Consensus Control of MAS with Packet Losses -- 4 Sampled-Data Consensus Control of MAS under Switching Network -- 5 Output Feedback Sampled-Data Control of MAS -- 6 Hybrid Event-Triggered Bipartite Consensus of MAS -- 7 Hybrid Event-Triggered Consensus of MAS with Time Delay -- 8 Hybrid Event-Triggered Consensus of MAS with Packet Losses -- 9 Sampled-Data Based Reset Control of MAS -- 10 Event-Based Reset Control of MAS -- 11 Reset Observer Based Event-Triggered Control of MAS. by Guanglei Zhao, Hailong Cui, Changchun Hua, Shuang Liu. Control engineering System theory Control theory Mathematics Computational intelligence Control and Systems Theory Systems Theory, Control Applications of Mathematics Computational Intelligence TJ212-225 9789819709687 https://doi.org/10.1007/978-981-97-0968-7 https://doi.org/10.1007/978-981-97-0968-7 240323 20251030111741.0 978-981-97-0968-7