
By Frank L. Lewis, Hongwei Zhang, Kristian Hengster-Movric, Abhijit Das
Cooperative regulate of Multi-Agent Systems extends optimum regulate and adaptive keep an eye on layout easy methods to multi-agent platforms on verbal exchange graphs. It develops Riccati layout recommendations for basic linear dynamics for cooperative country suggestions layout, cooperative observer layout, and cooperative dynamic output suggestions layout. either continuous-time and discrete-time dynamical multi-agent platforms are handled. optimum cooperative keep watch over is brought and neural adaptive layout recommendations for multi-agent nonlinear platforms with unknown dynamics, that are infrequently taken care of in literature are constructed. effects spanning structures with first-, moment- and on as much as common high-order nonlinear dynamics are presented.
Each keep an eye on technique proposed is built through rigorous proofs. All algorithms are justified by means of simulation examples. The textual content is self-contained and may function a great accomplished resource of data for researchers and graduate scholars operating with multi-agent systems.