A Distributed DISOPE Algorithm of Cooperative Optimal Control for Nonlinear Interconnected Multi-agent Systems

The study aims to explore the problem of the distributed cooperative optimization control for the leader-following interconnected nonlinear multi-agent systems(MASs) via a distributed dynamic integrated system optimization and parameter estimation (DISOPE) algorithm. In addition to the graph topology, inherent interconnections among agents are paid attention to in the paper. Therefore, our goal is to design a control strategy within a limited time for interconnected multiagent systems (IMASs), with the aim of achieving the optimal performance in all local performance indices. In addition, the distributed DISOPE algorithm has been shown to converge, and its convergent solution satisfies the optimality conditions. Finally, the DISOPE algorithm has been validated through simulation.