Distributed Model Predictive Control with Actuator Saturation for Markovian Jump Linear System

摘要

This paper is concerned with the distributed model predictive control (MPC) problem for a class of discrete-time Markovian jump linear systems (MJLSs) subject to actuator saturation and polytopic uncertainty in system matrices. The global system is decomposed into several subsystems which coordinate with each other. A set of distributed controllers is designed by solving a min-max optimization problem in terms of the solutions of linear matrix inequalities(LMIs).An iterative algorithm is developed to achieve the online computation.Finally, a simulation example is employed to show the effectiveness of the proposed algorithm.