Model Predictive Control of Linear Time-Varying Systems with Bounded Disturbances Using a Dynamic Terminal Policy

被引：3

作者：

Gautam, Ajay ^{[1
]}

Chu, Yun-Chung ^{[1
]}

Soh, Yeng Chai ^{[1
]}

机构：

[1] Nanyang Technol Univ, Sch Elect & Elect Engn, 50 Nanyang Ave, Singapore 639798, Singapore

来源：

PROCEEDINGS OF THE 48TH IEEE CONFERENCE ON DECISION AND CONTROL, 2009 HELD JOINTLY WITH THE 2009 28TH CHINESE CONTROL CONFERENCE (CDC/CCC 2009) | 2009年

关键词：

Model predictive control; robust control; LTV systems; bounded additive disturbances; ROBUST; STABILITY;

D O I：

10.1109/CDC.2009.5399869

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper presents a computationally efficient model predictive control algorithm applicable for linear time varying systems with bounded disturbances. The proposed algorithm is based on the use of an optimized dynamic terminal control law that makes a good control performance possible with an online optimization over relatively smaller horizon lengths. In particular, the use of a dynamic terminal policy allows the optimization of the terminal disturbance invariant feasible set offline so that an upper bound of the terminal cost along with the finite horizon cost can be minimized online with reduced computations. Simulation results show that the proposed control scheme ensures a good performance with significantly reduced online computational complexity as compared to other schemes that use a static feedback control as the terminal control law.

引用

页码：3999 / 4004

页数：6

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