DECENTRALIZED CONTROL THROUGH PARAMETER SPACE OPTIMIZATION

被引：108

作者：

GEROMEL, JC ^{[1
]}

BERNUSSOU, J ^{[1
]}

PERES, PLD ^{[1
]}

机构：

[1] CNRS,LAAS,F-31077 TOULOUSE,FRANCE

来源：

AUTOMATICA | 1994年 / 30卷 / 10期

基金：

巴西圣保罗研究基金会;

关键词：

CONTROL SYSTEM DESIGN; DECENTRALIZED CONTROL; CONVEX PROGRAMMING; LINEAR SYSTEMS;

D O I：

10.1016/0005-1098(94)90096-5

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The decentralized control problem for linear dynamic systems is revisited using a parameter space approach which enables the definition of the decentralized feedbacks from the existence of non-empty parameter convex sets. The convexity property enables the derivation of efficient numerical algorithms based on standard approaches in convex programming. The continuous-time and discrete-time cases are investigated and the decentralized control design is also treated to meet other important assignments such as: optimal H-2 performance index, absolute stability, H-infinity, prescribed attenuation and robustness against actuator failures. Some numerical experiments illustrate the potential of this new control design.

引用

页码：1565 / 1578

页数：14

共 21 条

[1]

BAILEY FN, 1966, SIAM J CONTROL, V3, P443

[2] STABILIZATION OF UNCERTAIN SYSTEMS VIA LINEAR-CONTROL [J].