DocumentCode :
2637072
Title :
Delay-dependent robust fault detection for a class of nonlinear time-delay systems
Author :
Gao, Zhifeng ; Jiang, Bin
Author_Institution :
Coll. of Autom. Eng., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing
fYear :
2008
fDate :
10-12 Dec. 2008
Firstpage :
1
Lastpage :
6
Abstract :
In this paper, the robust fault detection filter (RFDF) design problem is investigated for a class of nonlinear time-delay systems with unknown inputs. Firstly, a reference residual model is introduced to formulate the robust fault detection filter design problem as an Hinfin optimization control problem. The reference residual model designed according to the performance index is an optimal residual generator, which takes into account the robustness against disturbances and sensitivity to faults simultaneously. Then, applying robust Hinfin optimization control technique, the novel criteria of the robust fault detection filter for a class of nonlinear time-delay systems with unknown inputs is presented in terms of linear matrix inequality (LMI), which depends on the size of time delays. Finally, a numerical example is used to demonstrate the feasibility of our proposed method.
Keywords :
Hinfin control; Hinfin optimisation; delay systems; filtering theory; linear matrix inequalities; nonlinear control systems; robust control; Hinfin optimization control; delay-dependent robust fault detection; disturbance robustness; fault sensitivity; linear matrix inequality; optimal residual generator; performance index; reference residual model; robust fault detection filter design; unknown inputs; Control systems; Delay; Design optimization; Fault detection; Filters; Nonlinear control systems; Performance analysis; Robust control; Robustness; Size control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems and Control in Aerospace and Astronautics, 2008. ISSCAA 2008. 2nd International Symposium on
Conference_Location :
Shenzhen
Print_ISBN :
978-1-4244-3908-9
Electronic_ISBN :
978-1-4244-2386-6
Type :
conf
DOI :
10.1109/ISSCAA.2008.4776232
Filename :
4776232
Link To Document :
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