Distributed Cooperative Control of Multi-agent Systems

A detailed and systematic introduction to the distributed cooperative control of multi–agent systems from a theoretical, network perspective Features detailed analysis and discussions on the distributed cooperative control and dynamics of multi–agent systems Covers comprehensively first order, second order and higher order systems, swarming and flocking behaviors Provides a broad theoretical framework for understanding the fundamentals of distributed cooperative control INDICE: Preface .1. Introduction .1.1 Background .1.1.1 Networked multi–agent systems .1.1.2 Collective behaviors and cooperative control in multi–agent systems .1.1.3 Network control in multi–agent systems .1.1.4 Distributed consensus filtering in sensor networks .1.2 Organization .2. Consensus in Multi–agent Systems .2.1 Consensus in Linear Multi–agent Systems .2.1.1 Preliminaries .2.1.2 Model formulation and results .2.2 Consensus in Nonlinear Multi–agent Systems .2.2.1 Preliminaries and model formulation .2.2.2 Local consensus of multi–agent systems .2.2.3 Global consensus of multi–agent systems in general networks .2.2.4 Global consensus of multi–agent systems in virtual networks .2.2.5 Simulation examples .2.3 Notes .3. Second–order Consensus in Multi–agent Systems .3.1 Second–order Consensus in Linear Multi–agent Systems .3.1.1 Model formulation .3.1.2 Second–order consensus in directed networks .3.1.3 Second–order consensus in delayed directed networks .3.1.4 Simulation examples .3.2 Second–order Consensus in Nonlinear Multi–agent Systems .3.2.1 Preliminaries .3.2.2 Second–order consensus in strongly connected networks .3.2.3 Second–order consensus in rooted networks .3.2.4 Simulation examples .3.3 Notes .4. Higher–order Consensus in Multi–agent Systems .4.1 Preliminaries .4.2 Higher–order Consensus in a General Form .4.2.1 Synchronization in complex networks .4.2.2 Higher–order consensus in a general form .4.2.3 Consensus region in higher–order consensus .4.3 Leader–follower Control in Multi–agent Systems .4.3.1 Leader–follower control with full–state feedback .4.3.2 Leader–follower control with observers .4.4 Simulation Examples .4.4.1 Consensus regions .4.4.2 Leader–follower control with full–state feedback .4.4.3 Leader–follower control with observers .4.5 Notes .5. Stability Analysis of Swarming Behaviors .5.1 Preliminaries .5.2 Analysis of Swarm Cohesion .5.3 Swarm Cohesion in a Noisy Environment .5.4 Cohesion in Swarms with Switched Topologies .5.5 Cohesion in Swarms with Changing Topologies .5.6 Simulation Examples .5.7 Notes .6. Distributed Leader–follower Flocking Control .6.1 Preliminaries .6.1.1 Model formulation .6.1.2 Nonsmooth analysis .6.2 Distributed Leader–follower Control with Pinning Observers .6.3 Simulation Examples .6.4 Notes .7. Consensus of Multi–agent Systems with Sampled Data Information .7.1 Problem Statement .7.2 Second–order Consensus with Full Information .7.2.1 Second–order consensus with full information .7.2.2 Selection of sampling periods .7.2.3 Design of coupling gains .7.2.4 Consensus region for the network spectrum .7.2.5 Second–order consensus in delayed undirected networks .7.2.6 Simulation examples .7.3 Second–order Consensus with Sampled Position Information .7.3.1 Second–order consensus with sampled position data .7.3.2 Simulation examples .7.4 Consensus with Nonlinear Dynamics and Sampled Information .7.4.1 The case with a fixed and strongly connected topology .7.4.2 The case with topology containing a directed spanning tree .7.4.3 The case with topology having no directed spanning tree .7.5 Notes .8. Consensus of Second–Order Multi–agent Systems with Intermittent Communication .8.1 Problem Statement .8.2 The Case with a Strongly Connected Topology .8.3 The Case with a Topology Having a Directed Spanning Tree .8.4 Consensus of Second–order Multi–agent Systems with Nonlinear Dynamics and Intermittent Communication .8.5 Notes .9. Distributed Adaptive Control of Multi–agent Systems .9.1 Distributed Adaptive Control in Complex Networks .9.1.1 Preliminaries .9.1.2 Distributed adaptive control in complex networks .9.1.3 Pinning edges control .9.1.4 Simulation examples .9.2 Distributed Control Gains Design for Second–order Consensus .9.2.1 Preliminaries .9.2.2 Distributed control gains design: leaderless case .9.2.3 Distributed control gains design: leader–follower case .9.2.4 Simulation examples .9.3 Notes .10. Distributed Consensus Filtering in Sensor Networks .10.1 Preliminaries .10.2 Distributed Consensus Filters Design with Fully–pinned Controllers .10.3 Distributed Consensus Filters Design with Pinning Controllers .10.4 Distributed Consensus Filters Design with Pinning Observers .10.5 Simulation Examples .10.6 Notes .11. Delay–induced Consensus and Quasi–consensus in Multi–agent Systems .11.1 Problem Statement .11.2 Delay–induced Consensus and Quasi–consensus .11.3 Motivation for Quasi–consensus Analysis .11.4 Simulation Examples .11.5 Notes .12. Conclusions and Future Work .12.1 Conclusions .12.2 Future Work .Bibliography .Index

• ISBN: 978-1-119-24620-6
• Editorial: Wiley–Blackwell
• Encuadernacion: Cartoné
• Páginas: 350
• Fecha Publicación: 03/11/2016
• Nº Volúmenes: 1
• Idioma: Inglés