Field-programmable gate array-based intelligent dynamic sliding-mode control using recurrent wavelet neural network for linear ultrasonic motor

IET Control Theory and Applications

Volumn 4, Issue 9, 2010, Pages 1511-1532

  Lin, F J ^a   Hung, Y C ^a   Chen, S Y ^a  

^a NATIONAL CENTRAL UNIVERSITY   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE LEARNING ALGORITHM; CONTROL PERFORMANCE; DRIVE SYSTEMS; DYNAMIC CHARACTERISTICS; DYNAMIC SLIDING; EXTERNAL DISTURBANCES; FPGA CHIPS; FRICTION FORCE; LINEAR ULTRASONIC MOTOR; LYAPUNOV STABILITY THEOREM; MOTOR PARAMETERS; NON-LINEAR; NONLINEAR FUNCTIONS; OPERATING PRINCIPLES; PARAMETER VARIATION; POSITIONING AND TRACKING; RECURRENT WAVELET NEURAL NETWORKS; TIME VARYING;

ADAPTIVE ALGORITHMS; FIELD PROGRAMMABLE GATE ARRAYS (FPGA); FRICTION; FUNCTIONS; INDUSTRIAL APPLICATIONS; LINEAR MOTORS; LOGIC GATES; MOTORS; NEURAL NETWORKS; PARAMETER ESTIMATION; PIEZOELECTRIC DEVICES; PIEZOELECTRIC MOTORS; ROBUST CONTROL; SLIDING MODE CONTROL; ULTRASONIC MACHINE TOOLS; ULTRASONICS;

LEARNING ALGORITHMS;

EID: 77956633363     PISSN: 17518644     EISSN: 17518652     Source Type: Journal    
DOI: 10.1049/iet-cta.2009.0066     Document Type: Article

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