Design of H∞ robust fault detection filter for nonlinear time-delay systems

Journal of Zhejiang University: Science

Volumn 7, Issue 10, 2006, Pages 1733-1741

  Bai, Lei Shi ^a   He, Li Ming ^a   Tian, Zuo Hua ^a   Shi, Song Jiao ^a  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

Author keywords

H optimization; Linear matrix inequality (LMI); Nonlinear time delay systems; Robust fault detection filter (RFDF)

Indexed keywords

MATRIX ALGEBRA; OPTIMIZATION; ROBUSTNESS (CONTROL SYSTEMS);

H-INFINITY OPTIMIZATION; LINEAR MATRIX INEQUALITY (LMI); NONLINEAR TIME DELAY SYSTEMS; OPTIMAL RESIDUAL GENERATOR; ROBUST FAULT DETECTION FILTER (RFDF); SELECTION MATRICES;

NONLINEAR SYSTEMS;

EID: 33750721671     PISSN: 10093095     EISSN: None     Source Type: Journal    
DOI: 10.1631/jzus.2006.A1733     Document Type: Article

References (13)

1. Chen, J., Patton, P.R., 1999. Robust Model-based Fault Diagnosis for Dynamic Systems. Kluwer Academic Publishers, Boston, p.19-64.
2. Chen, W., Saif, M., 2006. An iterative learning observer for fault detection and accommodation in nonlinear time-delay systems. Int. J. Robust Nonlinear Control, 16(1):1-19. [doi:10.1002/rnc.1033]
3. Ding, S.X., Jeinsch, T., Frank, P.M., Ding, E.L., 2000. A unified approach to the optimization of fault detection systems. Int. J. Adap. and Sign. Proc., 14(7):725-745. [doi:10.1002/1099-1115(200011)14:7<725::AID-ACS618>3.0.CO;2-Q]
4. Ding, S.X., Zhong, M.Y., Tang, B.Y., Wang, H.B., Zhang, P., 2001. An LMI Approach to the Design of Fault Detection Filter for Time-delay LTI Systems with Unknown Inputs. Proceedings of the American Control Conference. International Conference and Arlington, VA, p.2137-2142.
5. Frank, P.M., Ding, S.X., 1997. Survey of robust residual generation and evaluation methods in observer-based fault detection systems. J. Proc. Control, 7(6):403-424. [doi:10.1016/S0959-1524(97)00016-4]
6. Gao, Z., Wang, H., 2006. Descriptor observer approaches for multivariable systems with measurement noises and application in fault detection and diagnosis. Systems and Control Letters, 55(4):304-313. [doi:10.1016/j.sysconle.2005.08.004]
7. Garcia, E.A., Frank, P.M., 1997. Deterministic nonlinear observer-based approaches to fault diagnosis: a survey. Control Eng. Practice, 5(5):663-670. [doi:10.1016/S0967-0661(97)00048-8]
8. Jiang, C.H., Zhou, D.H., 2005. Fault detection and identification for uncertain time-delay systems. Computers and Chemical Engineering, 30(2):228-242. [doi:10.1016/j.compchemeng.2005.08.012]
9. Lien, C.H., 2004. An efficient method to design robust observer-based control of uncertain linear systems. Applied Mathematics and Computation, 158(1):29-44. [doi:10.1016/j.amc.2003.08.062]
10. Richard, J.P., 2003. Time-delay systems: an overview of some recent advances and open problems. Automatica, 39(10):1667-1694. [doi:10.1016/S0005-1098(03)00167-5]
11. Wang, Z.D., Goodall, D.P., Buranham, K.J., 2002. On designing observers for time-delay systems with non-linear disturbances. Int. J. Control, 75(11):803-811. [doi:10.1080/00207170210126245]
12. Zhong, M.Y., Ding, S.X., James, L., Wang, H.B., 2003. An LMI approach to design robust fault detection filter for uncertain LTI systems. Automatica, 39(3):543-550. [doi:10.1016/S0005-1098(02)00269-8]
13. Zhou, D.H., Ye, H., Wang, G.Z., Ding, X.C., 1998. Discussion of some important issues of observer based fault diagnosis technique. Acta Automatica Sinica, 24(3):338-344 (in Chinese).