Robust dynamic sliding-mode control using adaptive RENN for magnetic levitation system

IEEE Transactions on Neural Networks

Volumn 20, Issue 6, 2009, Pages 938-951

  Lin, Faa Jeng ^a   Chen, Syuan Yi ^a   Shyu, Kuo Kai ^a  

^a NATIONAL CENTRAL UNIVERSITY   (Taiwan)

Author keywords

Dynamic sliding mode control (DSMC); Elman neural network (ENN); Magnetic levitation; Robust control

Indexed keywords

ADAPTIVE LEARNING ALGORITHM; APPROXIMATION ERRORS; CHATTERING PHENOMENON; CONTROL PERFORMANCE; DYNAMIC SLIDING; DYNAMIC SLIDING MODE CONTROL; DYNAMIC SLIDING-MODE CONTROL (DSMC); ELMAN NEURAL NETWORK; ELMAN NEURAL NETWORK (ENN); HIGHER ORDER TERMS; LYAPUNOV STABILITY THEOREM; MAGNETIC LEVITATION SYSTEMS; NONLINEAR FUNCTIONS; OPTIMAL PARAMETER; PERIODIC TRAJECTORIES; PROPORTIONAL INTEGRAL DERIVATIVES; REFERENCE TRAJECTORIES; ROBUST COMPENSATORS; UNCERTAINTY BOUNDS;

ADAPTIVE ALGORITHMS; ADAPTIVE CONTROL SYSTEMS; CONTROL SYSTEM ANALYSIS; EDUCATION; LEARNING ALGORITHMS; MAGNETIC LEVITATION VEHICLES; MAGNETIC MATERIALS; MAGNETISM; NEURAL NETWORKS; NONLINEAR CONTROL SYSTEMS; PROPORTIONAL CONTROL SYSTEMS; ROBUST CONTROL; SLIDING MODE CONTROL; SWITCHING FUNCTIONS; UNCERTAINTY ANALYSIS;

MAGNETIC LEVITATION;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER SIMULATION; FEEDBACK SYSTEM; GRAVITY; INSTRUMENTATION; MAGNETISM; METHODOLOGY; THEORETICAL MODEL;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; FEEDBACK; GRAVITATION; MAGNETICS; MODELS, THEORETICAL; PATTERN RECOGNITION, AUTOMATED;

EID: 67649359712     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNN.2009.2014228     Document Type: Article

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