Decentralized Robust Control via Quadratically Invariant Model Projection

被引：0

作者：

Kim, Jong-Han ^{[1
]}

Lall, Sanjay ^{[1
,2
]}

Merrill, Walter ^{[3
]}

Behbahani, Alireza

机构：

[1] Stanford Univ, Dept Aeronaut & Astronaut, Stanford, CA 94305 USA

[2] Stanford Univ, Dept Elect Engn, Dept Aeronaut & Astronaut, Stanford, CA 94305 USA

[3] Sci Monitoring Inc, Scottsdale, AZ 85258 USA

来源：

2011 AMERICAN CONTROL CONFERENCE | 2011年

关键词：

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：

We propose a computational approach to systematically find decentralized H-infinity suboptimal controllers for general unstructured models. Exploiting the quadratically invariant model projection and the classical robust control synthesis techniques, we show that the original nonconvex problem can be conservatively solved by a series of convex optimization problems.

引用

页码：527 / 532

页数：6

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