Control system with evolving Gaussian process models

IEEE SSCI 2011: Symposium Series on Computational Intelligence - EAIS 2011: 2011 IEEE Workshop on Evolving and Adaptive Intelligent Systems

Volumn , Issue , 2011, Pages 178-184

  Petelin, Dejan ^a   Kocijan, Juš ^a,b  

^a JO EF STEFAN INSTITUTE   (Slovenia)

^b UNIVERSITY OF NOVA GORICA   (Slovenia)

Author keywords

[No Author keywords available]

Indexed keywords

BASIS FUNCTIONS; BAYESIAN MODEL; BENCH-MARK PROBLEMS; BLACK-BOX IDENTIFICATION; BLACK-BOX MODEL; CLOSED-LOOP CONTROL; CONTROL PROBLEMS; GAUSSIAN PROCESS; GAUSSIAN PROCESS MODELS; HYPER-PARAMETER; MEASURED DATA; MODEL ADAPTATION; NON-PARAMETRIC; OPERATING REGIONS; PRIOR KNOWLEDGE; SELF-LEARNING; STREAMING DATA; SYSTEMS DYNAMICS;

ADAPTIVE CONTROL SYSTEMS; BAYESIAN NETWORKS; CLOSED LOOP CONTROL SYSTEMS; CONTROL THEORY; GAUSSIAN DISTRIBUTION; GAUSSIAN NOISE (ELECTRONIC); IDENTIFICATION (CONTROL SYSTEMS); INTELLIGENT SYSTEMS; NORMAL DISTRIBUTION; PARAMETER ESTIMATION; SEARCH ENGINES;

PROCESS CONTROL;

EID: 80051479161     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/EAIS.2011.5945910     Document Type: Conference Paper

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