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This book investigates distributed cooperative control and communication of MASs including linear systems, nonlinear systems and multiple rigid body systems. The model-based and data-driven control method are employed to design the (optimal) cooperative control protocol.
The approaches of this book consist of model-based and data-driven control such as predictive control, event-triggered control, optimal control, adaptive dynamic programming, etc.
From this book, readers can learn about distributed cooperative control methods, data-driven control, finite-time stability analysis, cooperative attitude control of multiple rigid bodies.   Some fundamental knowledge prepared to read this book is finite-time stability theory, event-triggered sampling mechanism, adaptive dynamic programming and optimal control.  

Distributed Cooperative Control and Communication for Multi-agent Systems

Overview of multi-agent systems cooperation.- Distributed Adaptive Model-Based Event-Triggered Predictive Control for Consensus of MASs.- Event-Triggered Tracking Control For Heterogeneous MASs With Markov Communication Delays.- Time-varying Formation Tracking of Uncertain Non-affine Nonlinear MASs with Communication Delays.- Consensus of Nonlinear MASs with Relative State Saturations.- Distributed event-triggered cooperative attitude control of multiple groups of rigid bodies on manifold SO(3).- Distributed robust finite-time attitude containment control for multiple rigid bodies with uncertainties.- Data-driven Distributed Optimal Consensus Control for Unknown MASs with Input-delay.- Data-driven optimal event-triggered consensus control for unknown nonlinear MASs with control constraints.