1. Introduction and mathematical background -- 2. Consensus control of linear multi-agent systems : continuous-time case -- 3. Consensus control of linear multi-agent systems : discrete-time case -- 4. Hoo and H2 consensus control of linear multi-agent systems -- 5. Consensus control of linear multi-agent systems using distributed adaptive protocols -- 6. Distributed tracking of linear multi-agent systems with a leader of possibly nonzero input -- 7. Containment control of linear multi-agent systems with multiple leaders -- 8. Distributed robust cooperative control for multi-agent systems with heterogeneous matching uncertainties -- 9. Global consensus of multi-agent systems with Lipschitz nonlinear dynamics
Summary
Distributed controller design is generally a challenging task, especially for multi-agent systems with complex dynamics, due to the interconnected effect of the agent dynamics, the interaction graph among agents, and the cooperative control laws. Cooperative Control of Multi-Agent Systems: A Consensus Region Approach offers a systematic framework for designing distributed controllers for multi-agent systems with general linear agent dynamics, linear agent dynamics with uncertainties, and Lipschitz nonlinear agent dynamics
