Cooperative Control of Complex Network Systems with Dynamic Topologies

Complex network systems (CNSs) are associated with closely linked interactions with neighboring entities, such as the Internet and power grids. This book mainly studies consensus of CNSs with dynamics topologies, providing novel multiple Lyapunov functions (MLFs) and numerical simulations to validate the theoretical results. Both professional researchers and laypeople will benefit from this book.

Format: Hardback
Length: 290 pages
Publication date: 02 July 2021
Publisher: Taylor & Francis Ltd

Far from being standalone entities, numerous social and engineering systems can be regarded as complex network systems (CNSs) characterized by intricate interconnections with neighboring entities, such as the Internet and power grids. In essence, a CNS pertains to a networking system comprising numerous interactive individuals, exhibiting captivating collective behavior that often defies predictable outcomes solely based on the inherent characteristics of the individuals themselves.

As a prime illustration of cooperative behavior, consensus within CNSs (or the synchronization of complex networks) has garnered significant attention across diverse research domains, including systems science, control theory, and electrical engineering. This book primarily delves into the study of consensus in CNSs with dynamic topologies, a departure from the prevalent focus on consensus control and analysis in CNSs with fixed topologies. Given the inherent limitations of communication capabilities in most practical networks, switching graphs can be employed to represent real-world communication topologies, expanding the range of practical applications.

This book presents a collection of novel multiple Lyapunov functions (MLFs), which are highly suitable for analyzing consensus in CNSs featuring directed switching topologies. Each chapter offers comprehensive theoretical analyses rooted in the stability theory of switched systems, accompanied by detailed numerical simulations to validate the theoretical findings. This book caters to the needs of both professional researchers and lay enthusiasts, offering valuable insights into the dynamics and consensus of complex network systems.

Weight: 744g
Dimension: 181 x 261 x 24 (mm)
ISBN-13: 9781032019130