Cooperative Control of Multi-Agent Systems extends optimal control and
adaptive control design methods to multi-agent systems on communication
graphs. It develops Riccati design techniques for general linear
dynamics for cooperative state feedback design, cooperative observer
design, and cooperative dynamic output feedback design. Both
continuous-time and discrete-time dynamical multi-agent systems are
treated. Optimal cooperative control is introduced and neural adaptive
design techniques for multi-agent nonlinear systems with unknown
dynamics, which are rarely treated in literature are developed. Results
spanning systems with first-, second- and on up to general high-order
nonlinear dynamics are presented.
Each control methodology proposed is developed by rigorous proofs. All
algorithms are justified by simulation examples. The text is
self-contained and will serve as an excellent comprehensive source of
information for researchers and graduate students working with
multi-agent systems.