General interpolation in MPC and its advantages

被引：49

作者：

Bacic, M ^{[1
]}

Cannon, M

Lee, YI

Kouvaritakis, B

机构：

[1] Univ Oxford, Dept Engn Sci, Oxford OX1 3PJ, England

[2] Seoul Natl Univ Technol, Dept Control & Instrumentat, Seoul 139743, South Korea

来源：

IEEE TRANSACTIONS ON AUTOMATIC CONTROL | 2003年 / 48卷 / 06期

基金：

英国工程与自然科学研究理事会;

关键词：

constrained; interpolation; linear matrix inequality (LMI); predictive control;

D O I：

10.1109/TAC.2003.812817

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Linear terminal control laws in model predictive control imply the need to compromise between performance and size of terminal region. A remedy allows the control law to vary with time, but requires very large online computation. Here, use is made of nonlinear terminal laws comprising an interpolation between predefined laws, each with its own precomputed terminal set. This reduces the online computation significantly, yet results in large terminal sets defined by the convex hull of invariant ellipsoids. The use of a different prediction class also produces significant benefits with respect to performance.

引用

页码：1092 / 1096

页数：5

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