文献类型：期刊文献

英文题名：Constrained distributed model predictive control strategy based on agent coordination

作者：Yang, Danxuan[1]; 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：2012

起止页码：4152

外文期刊名：Chinese Control Conference, CCC

收录：EI(收录号：20130716024155)

语种：英文

外文关键词：Model predictive control

摘要：In this paper, a distributed model predictive control (DMPC) strategy is proposed based on agent coordination, in which subsystems couple through the inputs. At first, the initial feasible solution of each agent can be achieved by solving local optimization problems in which the state constraints of neighbor subsystems are considered at each sampling time. And then the global optimal solution can be obtained through agent coordination. In the negotiating process, the innovative global optimization objective is determined for the sake of reducing iteration time and improving the convergence speed efficiently. Finally, the accuracy and efficiency of the proposed scheme is put to test through simulation. ? 2012 Chinese Assoc of Automati.