A online-trained neural network controller for electro-hydraulic servo system

Proceedings of the World Congress on Intelligent Control and Automation (WCICA)

Volumn 4, Issue , 2002, Pages 2983-2986

  Hong, Zhao ^a   Kaifang, Dang ^a   Tingqi, Lin ^a  

^a XI'AN JIAOTONG UNIVERSITY   (China)

Author keywords

Electro hydraulic position servo systems; Neural network; Supervised control

Indexed keywords

ADAPTIVE ALGORITHMS; ADAPTIVE CONTROL SYSTEMS; CONTROL NONLINEARITIES; ELECTROMECHANICAL DEVICES; GRADIENT METHODS; LEARNING ALGORITHMS; MULTILAYER NEURAL NETWORKS; ONLINE SYSTEMS; SCADA SYSTEMS; SERVOMECHANISMS; TIME VARYING CONTROL SYSTEMS; UNCERTAIN SYSTEMS;

CONJUGATE GRADIENT ALGORITHM; ELECTROHYDRAULIC SERVO SYSTEM; GAUSS-NEWTON ALGORITHM; LEVENBERG-MARQUARDT TRAINING ALGORITHM; ONLINE TRAINED NEURAL NETWORK CONTROLLER; STEEPEST DESCENT ALGORITHM; TIME VARYING EXTERNAL LOAD DISTURBANCE;

INTELLIGENT CONTROL;

EID: 0036951008     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (3)

1. Hagan M T, Menhaj M B. Training feedforward networks with the Marquardt algorithm. IEEE Trans Neural Net, vol.5, no.6, 1994, pp989-993.
2. Wang Cunxing. Hydraulic Servo System. Beijing: Mechanical Industry Press, 1991. (In Chinese).
3. Sun Zengqi. Intelligent Control Theory and Technique. Beijing: Tsinghua University Press, 1997. (In Chinese).