Application of IFT and SPSA to servo system control

IEEE Transactions on Neural Networks

Volumn 22, Issue 12 PART 2, 2011, Pages 2363-2375

  Rǎdac, Mircea Bogdan ^a   Precup, Radu Emil ^a   Petriu, Emil M ^b   Preitl, Stefan ^a  

^a POLITEHNICA UNIVERSITY OF TIMISOARA   (Romania)

^b UNIVERSITY OF OTTAWA   (Canada)

Author keywords

Iterative feedback tuning; performance indices; servo systems; simultaneous perturbation stochastic approximation; state feedback control

Indexed keywords

ANGULAR POSITIONS; CONTROLLED PROCESS; DIRECT CURRENT SERVO; GRADIENT BASED; INTEGRAL COMPONENTS; ITERATIVE FEEDBACK TUNING; LABORATORY EQUIPMENTS; LINEAR QUADRATIC GAUSSIAN; MODEL FREE; PERFORMANCE INDICES; PROBLEM FORMULATION; REPRESENTATIVE CASE; SECOND-ORDER SYSTEMSS; SERVO SYSTEM CONTROL; SIMULTANEOUS PERTURBATION STOCHASTIC APPROXIMATION; SPSA ALGORITHMS; STATE FEEDBACK CONTROLLER; STOCHASTIC OPTIMIZATION TECHNIQUES;

ALGORITHMS; APPROXIMATION THEORY; CONTROLLERS; FEEDBACK CONTROL; LABORATORIES; SERVOMECHANISMS; STOCHASTIC CONTROL SYSTEMS; STOCHASTIC MODELS; STOCHASTIC SYSTEMS; TIME VARYING NETWORKS;

STATE FEEDBACK;

ARTICLE; ARTIFICIAL INTELLIGENCE; DATA MINING; FACTUAL DATABASE; FEEDBACK SYSTEM; METHODOLOGY; THEORETICAL MODEL;

ARTIFICIAL INTELLIGENCE; DATA MINING; DATABASES, FACTUAL; FEEDBACK; MODELS, THEORETICAL;

EID: 83655167006     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNN.2011.2173804     Document Type: Article

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