Recurrent fuzzy neural network backstepping control for the prescribed output tracking performance of nonlinear dynamic systems

ISA Transactions

Volumn 53, Issue 1, 2014, Pages 33-43

  Han, Seong Ik ^a   Lee, Jang Myung ^a  

^a Pusan National University   (South Korea)

Author keywords

Backstepping control; Error constraint variable; Prescribed tracking performance; Recurrent fuzzy neural networks

Indexed keywords

BACKSTEPPING; CLOSED LOOP SYSTEMS; DYNAMICAL SYSTEMS; ERRORS; FUZZY INFERENCE; FUZZY LOGIC; MANIPULATORS; RECURRENT NEURAL NETWORKS; ROBOT APPLICATIONS;

APPROXIMATION PERFORMANCE; BACK-STEPPING CONTROLS; ERROR CONSTRAINTS; LYAPUNOV STABILITY THEORY; PRESCRIBED PERFORMANCE; RECURRENT FUZZY NEURAL NETWORK; ROBOT MANIPULATOR; TRACKING PERFORMANCE;

FUZZY NEURAL NETWORKS;

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; BACKSTEPPING CONTROL; COMPUTER SIMULATION; ERROR CONSTRAINT VARIABLE; FEEDBACK SYSTEM; FUZZY LOGIC; METHODOLOGY; NONLINEAR SYSTEM; PRESCRIBED TRACKING PERFORMANCE; RECURRENT FUZZY NEURAL NETWORKS; ROBOTICS; THEORETICAL MODEL;

BACKSTEPPING CONTROL; ERROR CONSTRAINT VARIABLE; PRESCRIBED TRACKING PERFORMANCE; RECURRENT FUZZY NEURAL NETWORKS;

ALGORITHMS; COMPUTER SIMULATION; FEEDBACK; FUZZY LOGIC; MODELS, THEORETICAL; NEURAL NETWORKS (COMPUTER); NONLINEAR DYNAMICS; ROBOTICS;

EID: 84892367924     PISSN: 00190578     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.isatra.2013.08.012     Document Type: Conference Paper

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