Synthesizing output feedback predictive control for constrained uncertain time-varying discrete systems

被引：15

作者：

Ding, Bao-Cang ^{[1
]}

Zou, Tao ^{[2
]}

机构：

[1] School of Electricity and Automation, Hebei University of Technology

[2] Institute of Automation, Shanghai Jiaotong University

来源：

Zidonghua Xuebao/Acta Automatica Sinica | 2007年 / 33卷 / 01期

关键词：

Matrix inequality; Output feedback; Robust predictive control; Stability;

D O I：

10.1360/aas-007-0078

中图分类号：

学科分类号：

摘要：

This paper addresses the off-line output feedback predictive control for systems with polytopic description. An existing method first synthesizes state feedback predictive control satisfying input/state (I/S) constraints. However, in designing the state observer, the I/S constraints have not been reconsidered. This paper, on the contrary, gives the state observer a priori, and presents a set of inequalities to keep the true state, observer state and observation error within the same ellipsoid, such that I/S constraints can be dealt with by linear matrix inequalities. Based-on this idea, it off-line calculates a sequence of ellipsoids, each corresponding to a control law and an observer. The on-line real-time control law and observer are selected from the sequence, such that stability is guaranteed for the closed-loop system. The simulation example shows the effectiveness of the new technique.

引用

页码：78 / 83

页数：5

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