Identification of spatiotemporally invariant systems for control adaptation

Automatica

Volumn 48, Issue 9, 2012, Pages 2079-2092

  Sarwar, Azeem ^a   Voulgaris, Petros G ^b   Salapaka, Srinivasa M ^b  

^a UNIVERSITY OF MARYLAND   (United States)

^b UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

Author keywords

Complex systems; Distributed parameter estimation; Identification; Interconnected systems; Local consensus; Spatially invariant; Spatiotemporal systems

Indexed keywords

BEST ESTIMATES; CURRENT ESTIMATES; DISTRIBUTED ADAPTIVE CONTROL; DISTRIBUTED NETWORKS; DISTRIBUTED PARAMETER ESTIMATION; ENVIRONMENT MONITORING; ESTIMATION ERRORS; ESTIMATION PROBLEM; INDIRECT ADAPTIVE CONTROL; INVARIANT SYSTEMS; LOCAL CONSENSUS; NETWORK PROBLEMS; POTENTIAL SENSOR; PROJECTION ALGORITHMS; SPATIALLY INVARIANT; SPATIO-TEMPORAL SYSTEM; TARGET LOCALIZATION;

ADAPTIVE CONTROL SYSTEMS; ALGORITHMS; ESTIMATION; INVARIANCE; LARGE SCALE SYSTEMS; PARAMETER ESTIMATION; SENSOR NETWORKS;

IDENTIFICATION (CONTROL SYSTEMS);

EID: 84865041179     PISSN: 00051098     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.automatica.2012.06.047     Document Type: Conference Paper

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