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This book mainly studies consensus of CNSs with dynamics topologies - unlike most existing books that have focused on consensus control and analysis for CNSs under a fixed topology. As most practical networks have limited communication ability, switching graphs can be used to characterize real-world communication topologies.
Guanghui Wen is a Professor with the Department of Systems Science, School of Mathematics, Southeast University, China. His current research interests include autonomous intelligent systems, complex networked systems, distributed control and optimization, resilient control, and distributed reinforcement learning. Wenwu Yu is a Professor in Southeast University, China. Also, he is the Founding Director of Laboratory of Cooperative Control of Complex Systems. His research interests include multi-agent systems, complex networks and systems, disturbance control, distributed optimization, neural networks, game theory etc. Yuezu Lv is a Lecturer with School of Mathematics, Southeast University, China. His research focuses on cyber-physical systems, distributed estimation, cooperative control, adaptive control, and artificial intelligence. Peijun Wang is an Associate Professor with the School of Mathematics and Statistics, Anhui Normal University, China. His current research interests include analysis and synthesis of complex networks and distributed fault-tolerant control.
1. Introduction 2. Preliminaries 3. Consensus of linear CNSs with directed switching topologies 4. Consensus disturbance rejection of MIMO linear CNSs with directed switching topologies 5. Consensus tracking of CNSs with first-order nonlinear dynamics and directed switching topologies 6. Consensus tracking of CNSs with higher-order dynamics and directed switching topologies 7. H-infinity consensus of CNSs with directed switching topologies 8. Distributed tracking of nonlinear CNSs with directed switching topologies: An observer-based protocol 9. Cooperative tracking of CNSs with a high-dimensional leader and directed switching topologies 10. Neuro-adaptive consensus of CNSs with uncertain dynamics 11. Resilient consensus of CNSs with input saturation and malicious attack under switching topologies
