Fault detection for markovian jump systems with sensor saturations and randomly varying nonlinearities

IEEE Transactions on Circuits and Systems I: Regular Papers

Volumn 59, Issue 10, 2012, Pages 2354-2362

  Dong, Hongli ^a,b   Wang, Zidong ^c   Gao, Huijun ^a  

^a HARBIN INSTITUTE OF TECHNOLOGY   (China)

^b Northeast Petroleum University   (China)

^c BRUNEL UNIVERSITY   (United Kingdom)

Author keywords

Fault detection; incomplete knowledge of transition probabilities; Markovian jumping systems; optimized filter; randomly varying nonlinearities; sensor saturation

Indexed keywords

CONVEX OPTIMIZATION; MARKOV PROCESSES;

INCOMPLETE KNOWLEDGE OF TRANSITION PROBABILITIES; MARKOVIAN JUMPING SYSTEMS; OPTIMIZED FILTERS; RANDOMLY VARYING NONLINEARITIES; SENSOR SATURATIONS;

FAULT DETECTION;

EID: 84867317492     PISSN: 15498328     EISSN: None     Source Type: Journal    
DOI: 10.1109/TCSI.2012.2185330     Document Type: Article

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