Fault isolation for multivariate nonlinear non-Gaussian systems using generalized entropy optimization principle

This paper is concerned with the fault isolation (FI) problem for multivariate nonlinear non-Gaussian systems by using a novel filtering method. The generalized entropy optimization principle (GEOP) is established for non-Gaussian systems with multiple faults and disturbances, where the statistic in...

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Veröffentlicht in:	Automatica (Oxford) 2009-11, Vol.45 (11), p.2612-2619
Hauptverfasser:	Yin, Liping, Guo, Lei
Format:	Artikel
Sprache:	eng
Schlagworte:	Applied sciences Computer science control theory systems Control theory. Systems Disturbances Dynamical systems Entropy Entropy optimization Exact sciences and technology Fault isolation and accommodation Faults Knowledge-driven filtering Modelling and identification Multivariate stochastic systems Non-Gaussian Non-Gaussian systems Nonlinear dynamics Nonlinearity Nuisance Optimal control Optimal control and estimation
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