Virtual stochastic sensors: How to gain insight into partially observable discrete stochastic systems

Proceedings of the IASTED International Conference on Modelling, Identification and Control

Volumn , Issue , 2011, Pages 124-131

  Krull, Claudia ^a   Buchholz, Robert ^a   Horton, Graham ^a  

^a OTTO VON GUERICKE UNIVERSITY   (Germany)

Author keywords

Discrete stochastic model; State space based simulation; Time series analysis; Virtual stochastic sensor

Indexed keywords

DISCRETE STOCHASTIC MODELS; DISCRETE STOCHASTIC SYSTEMS; GAIN INSIGHT; ONLINE MONITORING; OPTIMAL CONTROLS; PARTIALLY OBSERVABLE SYSTEMS; PHYSICAL SENSORS; PRODUCTION EFFICIENCY; PRODUCTION LINE; QUANTITY OF INTEREST; SPACE-BASED; STOCHASTIC SENSORS; SYSTEM PROPERTY; UNOBSERVABLE; VIRTUAL SENSOR;

IDENTIFICATION (CONTROL SYSTEMS); OPTIMAL CONTROL SYSTEMS; SENSORS; STOCHASTIC CONTROL SYSTEMS; STOCHASTIC SYSTEMS; TIME SERIES; TIME SERIES ANALYSIS;

STOCHASTIC MODELS;

EID: 79958165364     PISSN: 10258973     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.2316/P.2011.718-041     Document Type: Conference Paper

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