Model Predictive Cooperative Control With ISM for Multiagent Systems Under Stochastic Communication Protocol
Yuan Yuan, Lei Guo, Huaping Liu
Abstract
In this article, the cooperative control problem is investigated for the nonlinear multiagent system (MAS). For the purpose of avoiding possible data collisions, the stochastic communication protocol (SCP) is adopted to schedule the data transmission at each time instant. To deal with the unmatched disturbances, the composite control strategy is put forward which integrates the model predictive control (MPC) and the integral sliding-mode control methods. The sufficient conditions are established to guarantee the cooperative behavior of the MAS subjected to SCP scheduling. Furthermore, the parameters of the MPC scheme are selected such that the recursive feasibility and mean-square practical stability are guaranteed. Finally, the numerical simulation on the satellites is conducted to verify the effectiveness of the proposed methodology.