Iterative LMI Approach to RFDO for Uncertain Time-Delay Systems with Nonlinear Perturbations

Author

Li, Fu-ming ; Duan, Guang-Ren

Author_Institution

Center for Control Theor. & Guidance Technol., Harbin Inst. of Technol.

fYear

2006

fDate

13-16 Aug. 2006

Firstpage

391

Lastpage

395

Abstract

The design of robust fault detection observers for uncertain time-delay systems with nonlinear perturbations is considered in this paper. By using the H_infin norm and H_- index optimization techniques and the LMI approach, a sufficient condition is proposed for the design of RFDO. This design enhances the fault detection and attenuates the effects due to unknown inputs and nonlinear perturbations. Iterative LMI algorithms are given. We also study the RFDO design problem over finite frequency range in which case no full column rank constraint is required on D for a system (A,B,C,D). An illustrative example is given to show the effectiveness of the proposed method

Keywords

H^infin control; control system synthesis; delay systems; fault diagnosis; iterative methods; linear matrix inequalities; observers; optimisation; perturbation techniques; robust control; uncertain systems; H_- index optimization techniques; H_infin norm; RFDO design problem; iterative LMI approach; nonlinear perturbations; robust fault detection observer design; uncertain time-delay systems; Control systems; Control theory; Cybernetics; Design optimization; Fault detection; Frequency; Iterative algorithms; Iterative methods; Machine learning; Robust control; Sufficient conditions; Symmetric matrices; Fault detection observers; LMI; Nonlinear perturbations; Residual; Time-delay systems; Unknown inputs;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2006 International Conference on

Conference_Location

Dalian, China

Print_ISBN

1-4244-0061-9

Type

conf

DOI

10.1109/ICMLC.2006.259101

Filename

4028095