LMI-Based Model Predictive Control for Linear Discrete-Time Periodic Systems

被引：0

作者：

Boehm, Christoph ^{[1
]}

Raff, Tobias ^{[1
]}

Reble, Marcus ^{[1
]}

Allgoewer, Frank ^{[1
]}

机构：

[1] Univ Stuttgart, Inst Syst Theory & Automat Control, D-7000 Stuttgart, Germany

来源：

NONLINEAR MODEL PREDICTIVE CONTROL: TOWARDS NEW CHALLENGING APPLICATIONS | 2009年 / 384卷

关键词：

Model predictive control; periodic system; linear matrix inequality; RECEDING HORIZON CONTROL; TRACKING CONTROL; STABILITY;

D O I：

暂无

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 new model predictive control (MPC) scheme for linear constrained discrete-time periodic systems. In each period of the system, a new periodic state feedback control law is computed via a convex optimization problem that minimizes an upper bound on an infinite horizon cost function subject to state and input constraints. The performance of the proposed model predictive controller, that stabilizes the discrete-time periodic system if it is initially feasible, is illustrated via an example.

引用

页码：99 / 108

页数：10

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