文献类型：期刊文献

英文题名：Stable Distributed Model Predictive Control strategy based on agent coordination

作者：Wang, Mengling[1]; Shi, Hongbo[1]

机构：[1] Key Laboratory of Advanced Control and Optimization for Chemical Processes, Ministry of Education, East China University of Science and Technology, Shanghai, 200237, China

年份：2014

起止页码：7747

外文期刊名：Proceedings of the 33rd Chinese Control Conference, CCC 2014

收录：EI(收录号：20144300120172)

语种：英文

外文关键词：Closed loop control systems - Distributed parameter control systems - Model predictive control - Predictive control systems

摘要：Many systems composed by several interacting subsystems are usually controlled by a distributed control framework. Distributed Model Predictive Control (DMPC) strategy, in which each subsystem is controlled by a local MPC controller, has advantages of accommodating constraints, less computational cost and high flexibility. In order to improve the global performance and guarantee the system stability, a stabilized DMPC strategy is proposed in this paper, in which subsystems interact through inputs. At first, local initial feasible solutions are achieved based on a Minkowski functional to guarantee the local closed-loop system stabilization. And then the global optimal solutions are obtained through coordination strategy for the sake of reducing iteration time and accelerating the convergence speed efficiently. Finally, the accuracy and efficiency of the proposed scheme is put to test through simulation. ? 2014 TCCT, CAA.