[1] V.Venkatasubramanian,R.Rengaswamy,K.Yin,S.N.Kavuri.A Review of Process Fault Detection and Diagnosis Part Ⅰ:Quantitative Model-based Methods.Computers and Chemical Engineering,vol.27,no.3,pp.293-311,2003.
[2] P.M.Frank,S.X.Ding.Survey of Robust Residual Generation and Evaluation Methods in Observer-based Fault Detection Systems.Journal of Process Control,vol.7,no.6,pp.403-424,1997.
[3] J.Chen,R.J.Patton.Robust Model-Based Fault Diagnosis for Dynamic Systems,Kluwer Academic Press,Dordrecht,1999.
[4] E.A.Garcia,P.M.Frank.Deterministic Nonlinear Observer-based Approaches to Fault Diagnosis:A Survey.Control Engineering Practice,vol.5,no.5,pp.663-670,1997.
[5] R.Isermann.Process Fault Detection Based on Modeling and Estimation Methods-A Survey.Automatica,vol.20,no.4,pp.387-404,1984.
[6] D.H.Zhou,Y.Z.Ye.Modern Fault Diagnosis and Fault Tolerance Control,Tsinghua Press,Beijing,2000 (in Chinese).
[7] C.Z.Fang,D.Y.Xiao.Process Indentification,Tsinghua Press,Beijing,1988 (in Chinese).
[8] P.J.Fleming,R.C.Purshouse.Evolutionary Algorithms in Control Systems Engineering:A Survey.Control Engineering Practice,vol.10,no.11,pp.1223-1241,2002.
[9] J.Kennedy,R.C.Eberhart.Particle Swarm Optimization.In Proceedings of IEEE International Conference on Neural Networks,Perth,WA,Australia,pp.1942-1948,1995.
[10] B.Jiang,B.W.Wang.Parameter Estimation of Nonlinear System Based on Genetic Algorithms.Control Theory and Applicantions,vol.17,no.1,pp.150-152,2000 (in Chinese).
[11] S.Kirkpatrick,C.D.Gelatt,M.P.Vecchi.Optimization by Simulated Annealing.Science,vol.220,no.4598,pp.671-680,1983.
[12] M.L.Tyler,K.Asano,M.Morari.Application of Moving Horizon Estimation Based Fault Detection to Cold Tandem Steel Mill.International Journal of Control,vol.73,no.5,pp.427-438,2000.
[13] L.L.Li,L.Wang,L.H.Liu.An Effective Hybrid PSOSA Strategy for Optimization and Its Application to Parameter Estimation.Applied Mathematics and Computation,vol.179,no.1,pp.135-146,2006.