切换非线性系统的分布式模型预测控制

Distributed model predictive control of switched nonlinear systems

针对一类具有预先指定切换序列的切换非线性系统,研究了具有通信信道干扰和时滞测量的分布式模型预测控制问题.在每个子系统都存在镇定控制器的假设下,利用基于Lyapunov函数的模型预测控制器设计了分布式模型预测控制器,并给出了闭环切换非线性系统最终有界的充分条件.最后,通过仿真结果表明了分布式模型预测控制策略的有效性.

A distributed model predictive control strategy is proposed for a class of switched nonlinear systems with a prescribed switching sequence. The control strategy takes explicitly into account communication disruptions and delayed measurements. Under the assumption that every subsystem exists a stabilizing controller, the distributed model predictive control architecture is designed by using Lyapunov-based model predictive control Sufficient conditions for guaranteeing ultimate boundedness of the closed-loop switched nonlinear Systems are presented. Simulation results show the effectiveness of the distributed model predictive control scheme.