An Efficient Model Predictive Control Algorithm with Constraints Using a Simple Explicit Control Law

摘要：

In this paper we propose an efficient model predictive control algorithm (MPC) for discrete-time linear time invariant systems with constraints. The proposed method reduces on-line control computation to the simple evaluation of an explicitly defined linear function. This algorithm greatly improves the efficiency of on-line control. Hence constrained linear quadratic regulation becomes also available for applications with fast dynamics.

作者: Yuhei Umeda Hirokazu Anai

作者单位: Design Innovation Laboratory,FUJITSU LABORATORIES LTD,4-1-1 Kamikodanaka, Nakahara-ku,Kawasaki, 211- FUJITSU LABORATORIES LTD / Kyushu University,4-1-1 Kamikodanaka, Nakahara-ku,Kawasaki, 211-8588, Jap

会议类型: 国际会议

会议名称: The Fourth International Conference on Mathematical Aspects of Computer and Information Sciences(第四届计算机与信息科学中的数学方法国际会议 MACIS 2011)

会议地点: 北京

会议语种:英文

页码: 238-241

在线出版日期: 2011-10-21（万方平台首次上网日期，不代表论文的发表时间）