Second-Order Consensus of Continuous-Time Multi-Agent Systems focuses on the characteristics and features of second-order agents, communication networks, and control protocols/algorithms in continuous consensus of multi-agent systems. The book provides readers with background on consensus control of multi-agent systems and introduces the intrinsic characteristics of second-order agents' behavior, including the development of continuous control protocols/algorithms over various types of underlying communication networks, as well as the implementation of computation- and communication-efficient strategies in the execution of protocols/algorithms. The book's authors also provide coverage of the frameworks of stability analysis, algebraic criteria and performance evaluation.
On this basis, the book provides an in-depth study of intrinsic nonlinear dynamics from agents' perspective, coverage of unbalanced directed topology, random switching topology, event-triggered communication, and random link failure, from a communication networks' perspective, as well as leader-following control, finite-time control, and global consensus control, from a protocols/algorithms' perspective. Finally, simulation results including practical application examples are presented to illustrate the effectiveness and the practicability of the control protocols and algorithms proposed in this book.
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Table of Contents
1. Second-Order Consensus Seeking in Directed Networks of Multi-Agent Dynamical Systems via Generalized Linear Local Interaction Protocols2. Robust Finite-Time Leader-Following Consensus Algorithms for Second-Order Multi-Agent Systems with Nonlinear Dynamics3. Second-Order Consensus of Multi-Agent Systems with Nonlinear Dynamics over Random Switching Directed Networks4. Second-Order Locally Dynamical Consensus of Multi-Agent Systems with Arbitrarily Fast Switching Directed Topologies5. Second-Order Global Consensus in Multi-Agent Systems with Random Directional Link Failure6. Algebraic Criteria for Second-Order Global Consensus in Multi-Agent Networks with Intrinsic Nonlinear Dynamics and Directed Topologies7. Event-Triggering Sampling Based Leader-Following Consensus in Second-Order Multi-Agent Systems8. Consensus Analysis of Multi-Agent Systems with Second-Order Nonlinear Dynamics and General Directed Topology: An Event-Triggered Scheme