Hierarchical least squares identification for linear SISO systems with dual-rate sampled-data

IEEE Transactions on Automatic Control

Volumn 56, Issue 11, 2011, Pages 2677-2683

  Ding, Jie ^a   Ding, Feng ^a   Liu, Xiaoping Peter ^b   Liu, Guangjun ^c  

^a JIANGNAN UNIVERSITY   (China)

^b CARLETON UNIVERSITY   (Canada)

^c RYERSON UNIVERSITY   (Canada)

Author keywords

Convergence; dual rate systems; hierarchical identification; least squares; parameter estimation

Indexed keywords

ARMAX MODEL; COMPUTATIONAL BURDEN; COMPUTATIONALLY EFFICIENT; CONVERGENCE; DUAL RATES; DUAL-RATE SYSTEMS; HIERARCHICAL IDENTIFICATION; IDENTIFICATION ALGORITHMS; IDENTIFICATION MODEL; IDENTIFICATION PROBLEM; LARGE SIZES; LEAST SQUARE; LEAST SQUARES IDENTIFICATION; PERFORMANCE ANALYSIS AND SIMULATION; RECURSIVE LEAST SQUARES ALGORITHMS; RLS ALGORITHMS; SAMPLED-DATA; SISO SYSTEMS; SMALL SIZE; TECHNICAL NOTES;

ALGORITHMS; COVARIANCE MATRIX; ESTIMATION; HIERARCHICAL SYSTEMS; IDENTIFICATION (CONTROL SYSTEMS); LINEAR SYSTEMS;

PARAMETER ESTIMATION;

EID: 80455150117     PISSN: 00189286     EISSN: None     Source Type: Journal    
DOI: 10.1109/TAC.2011.2158137     Document Type: Article

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