Stability Analysis of Constrained Nonlinear Model Predictive Control with Terminal Weighting

被引：6

作者：

Chen, Wen-Hua ^{[2
]}

Cao, Yi ^{[1
]}

机构：

[1] Cranfield Univ, Sch Engn, Cranfield MK43 0AL, Beds, England

[2] Univ Loughborough, Dept Aeronaut & Automot Engn, Loughborough, Leics, England

来源：

ASIAN JOURNAL OF CONTROL | 2012年 / 14卷 / 05期

关键词：

Predictive control; stability; Lyapunov theory; nonlinear systems; control saturation;

D O I：

10.1002/asjc.486

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 investigates stability of model predictive control (MPC) for nonlinear constrained systems. New stability results for the MPC algorithms with terminal weighting are proposed using the dynamic programming method, which gives new criteria for choosing state, control and terminal weighting in the performance index to achieve stability of MPC algorithms. Illustrative examples are given to show that by combining this condition with existing ones, much less conservative results can be generated.

引用

页码：1374 / 1381

页数：8

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