Design of multivariable fuzzy-neural network decoupling controller

Kongzhi yu Juece/Control and Decision

Volumn 21, Issue 5, 2006, Pages 593-596

  Li, Hui ^a  

^a CHONGQING UNIVERSITY   (China)

Author keywords

Dynamical coupling properties; Fuzzy control; Neural network decouplings; Self learning algorithm

Indexed keywords

CONTROL EQUIPMENT; COUPLINGS; FUZZY CONTROL; LEARNING ALGORITHMS; NONLINEAR SYSTEMS; ROBUSTNESS (CONTROL SYSTEMS);

CASCADE CONNECTED; DECOUPLING CONTROLLER; DYNAMICAL COUPLING PROPERTIES; INTELLIGENT WEIGHT FUNCTION RULERS; NEURAL NETWORK DECOUPLINGS; SELF ADAPTIVE; SELF LEARNING ALGORITHM; SELF TUNING FUZZY CONTROLLER; STRONG COUPLING;

NEURAL NETWORKS;

EID: 33746221357     PISSN: 10010920     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (9)

1. Zhou J Z, Han Z J. A New Multivariable Fuzzy Self-tuning Control System[J]. Acta Automatica Sinica, 1999, 25(2): 215-219.
2. Li S Y. Fuzzy Control, Neurocontrol and Intelligent Cybernetics[M]. Harbin: Harbin Industrial University Press, 1998.
3. Tong S C, Tang J T. Fuzzy Adaptive Control of Multivariable Nonlinear Systems[J]. Fuzzy Sets and Systems, 2000, 111(2): 153-167.
4. Jian X X, Jing X. New Fuzzy Logic Learning Control Scheme for Repetitive Trajectory Tracking Problems[J]. Fuzzy Sets and Systems, 2003, 133(1): 57-75.
5. Imthias A T P, Nagebdra R P S. A Reinforcement Learning Approach to Automatic Generation Control[J]. Electric Power Systems Research, 2002, 63(1): 9-26.
6. Jiang P, Li Z J, Liang W P, et al. A Decoupling Algorithm Based on Neuron[J]. J of North China Electric Power University, 2000, 27(2): 47-51.
7. Li M, Lin Y J, Ma Y G. Adaptive Neural Non-model Decouple Control for MIMO System[J]. Computer Simulation, 2003, 6(3): 346-350.
8. Shu H L. Analysis of PID Neural Network Multivariable Control Systems[J]. Acta Automatica Sinica, 1999, 25(1): 105-111.
9. Liu J K. Advanced PID Control and MATLAB Simulation[M]. Beijing: Electronics Industry Press, 2003.