RBFNDOB-based neural network inverse control for non-minimum phase MIMO system with disturbances

ISA Transactions

Volumn 53, Issue 4, 2014, Pages 983-993

  Li, Juan ^a,b   Li, Shihua ^a   Chen, Xisong ^a   Yang, Jun ^a  

^a SOUTHEAST UNIVERSITY   (China)

^b YANGZHOU UNIVERSITY   (China)

Author keywords

Multi input multi output; Neural network inverse control; Non minimum phase; Pseudo plant; RBFN disturbance observer

Indexed keywords

COMMUNICATION CHANNELS (INFORMATION THEORY); CONTROLLERS; GRINDING (MACHINING); INVERSE PROBLEMS; MIMO SYSTEMS;

DISTURBANCE OBSERVER; INVERSE CONTROL; MULTI INPUT MULTI OUTPUT; NON-MINIMUM PHASE; PSEUDO-PLANT;

ADAPTIVE CONTROL SYSTEMS;

ALGORITHM; ARTIFICIAL NEURAL NETWORK; AUTOMATED PATTERN RECOGNITION; COMPUTER SIMULATION; FEEDBACK SYSTEM; NONLINEAR SYSTEM; PROCEDURES; THEORETICAL MODEL;

ALGORITHMS; COMPUTER SIMULATION; FEEDBACK; MODELS, THEORETICAL; NEURAL NETWORKS (COMPUTER); NONLINEAR DYNAMICS; PATTERN RECOGNITION, AUTOMATED;

EID: 84905096626     PISSN: 00190578     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.isatra.2014.05.003     Document Type: Article

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