Design of a neural network adaptive controller via a constrained invariant ellipsoids technique

IEEE Transactions on Neural Networks

Volumn 22, Issue 4, 2011, Pages 627-638

  Fravolini, Mario L ^a   Campa, Giampiero ^b  

^a UNIVERSITY OF PERUGIA   (Italy)

^b MATHWORKS INC   (United States)

Author keywords

Adaptive control; boundedness; linear matrix inequality; requirements; set invariance; specifications; validation and verification

Indexed keywords

ADAPTIVE CONTROL; BOUNDEDNESS; LINEAR MATRIX; REQUIREMENTS; SET INVARIANCE; VALIDATION AND VERIFICATION;

CONSTRAINT THEORY; CONTROLLERS; DESIGN; LINEAR CONTROL SYSTEMS; LINEAR MATRIX INEQUALITIES; NEURAL NETWORKS; SPECIFICATIONS;

ADAPTIVE CONTROL SYSTEMS;

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; AUTOMATED PATTERN RECOGNITION; COMPUTER SIMULATION; FEEDBACK SYSTEM; HUMAN; NONLINEAR SYSTEM; REPRODUCIBILITY; STATISTICAL MODEL;

ALGORITHMS; COMPUTER SIMULATION; FEEDBACK, PHYSIOLOGICAL; HUMANS; LINEAR MODELS; NEURAL NETWORKS (COMPUTER); NONLINEAR DYNAMICS; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS;

EID: 79953833540     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNN.2011.2111385     Document Type: Article

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