Decentralized control design for large-scale linear systems in the presence of multi-layer nested saturation

Author

Lu, Liang ; Lin, Zongli ; Beteman, A.

Author_Institution

Dept. of Autom., Shanghai Jiaotong Univ., Shanghai, China

fYear

2009

Firstpage

695

Lastpage

700

Abstract

This paper considers the design of decentralized controllers for large-scale linear systems subject to multi-layer nested saturation. The design of decentralized state feedback laws that result in large domains of attraction are formulated as optimization problems with LMI and BMI constraints. Numerical algorithms are developed to solve these problems.

Keywords

control nonlinearities; control system synthesis; decentralised control; large-scale systems; linear matrix inequalities; linear systems; optimisation; state feedback; bilinear matrix inequality; decentralized control design; decentralized state feedback laws; large-scale linear systems; linear matrix inequality; multilayer nested saturation; optimization problems; Actuators; Centralized control; Constraint optimization; Control systems; Design optimization; Distributed control; Large-scale systems; Linear matrix inequalities; Linear systems; Multi-layer neural network; Decentralized control; actuator saturation; large-scale systems; multi-layer saturation; neural network;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Applications, (CCA) & Intelligent Control, (ISIC), 2009 IEEE

Conference_Location

St. Petersburg

Print_ISBN

978-1-4244-4601-8

Electronic_ISBN

978-1-4244-4602-5

Type

conf

DOI

10.1109/CCA.2009.5281157

Filename

5281157