Yuezu Lv

This book systematically addresses the security and resilience of networked agent systems, from sensor networks to general multi-agent systems, against evolving cyber threats. It explores techniques for distributed security monitoring to detect sparse attacks on sensors (location-fixed/varying and sparse-fixed/varying), Byzantine node/link attacks, and vulnerability-related attacks in heterogeneous sensor networks. It provides advanced solutions for finite/fixed-time monitoring convergence under nonlinear dynamics. Regarding resilient cooperative control of multi-agent systems, the book tackles the challenge of isolation against various attacks, such as false data injection and covert, non-collusive, and collusive attacks. Practical applications range from resilient smart grids and attack-resistant drones to self-healing infrastructures. Rigorous mathematical frameworks, including graph theory and matrix analysis, establish a principled link between theoretical guarantees and the security operations of real-world networked agent systems. These frameworks offer tools to fortify critical networks against unpredictable, unstructured attacks. This book will appeal to scholars, engineers, and practitioners involved in systems engineering, control theory, cybersecurity, and artificial intelligence.

Far from being separate entities, many social and engineering systems can be considered as complex network systems (CNSs) associated with closely linked interactions with neighbouring entities such as the Internet and power grids. Roughly speaking, a CNS refers to a networking system consisting of lots of interactional individuals, exhibiting fascinating collective behaviour that cannot always be anticipated from the inherent properties of the individuals themselves. As one of the most fundamental examples of cooperative behaviour, consensus within CNSs (or the synchronization of complex networks) has gained considerable attention from various fields of research, including systems science, control theory and electrical engineering. 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, leading to a wider range of practical applications. This book provides some novel multiple Lyapunov functions (MLFs), good candidates for analysing the consensus of CNSs with directed switching topologies, while each chapter provides detailed theoretical analyses according to the stability theory of switched systems. Moreover, numerical simulations are provided to validate the theoretical results. Both professional researchers and laypeople will benefit from this book.

Far from being separate entities, many social and engineering systems can be considered as complex network systems (CNSs) associated with closely linked interactions with neighbouring entities such as the Internet and power grids. Roughly speaking, a CNS refers to a networking system consisting of lots of interactional individuals, exhibiting fascinating collective behaviour that cannot always be anticipated from the inherent properties of the individuals themselves. As one of the most fundamental examples of cooperative behaviour, consensus within CNSs (or the synchronization of complex networks) has gained considerable attention from various fields of research, including systems science, control theory and electrical engineering. 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, leading to a wider range of practical applications. This book provides some novel multiple Lyapunov functions (MLFs), good candidates for analysing the consensus of CNSs with directed switching topologies, while each chapter provides detailed theoretical analyses according to the stability theory of switched systems. Moreover, numerical simulations are provided to validate the theoretical results. Both professional researchers and laypeople will benefit from this book.