A multimodel recurrent neural network for systems identification and control

Proceedings of the International Joint Conference on Neural Networks

Volumn 2, Issue , 2001, Pages 1291-1296

  Baruch, I S ^a   Thomas, F ^a   Flores, J M ^a   Gortcheva, E ^a  

^a DEPARTAMENTO DE FÍSICA   (Mexico)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE CONTROL SYSTEMS; BACKPROPAGATION; COMPUTER SIMULATION; IDENTIFICATION (CONTROL SYSTEMS); LEARNING SYSTEMS; MATHEMATICAL MODELS; STATE ESTIMATION; STATE SPACE METHODS;

COMPLEX NONLINEAR PLANTS; REAL TIME IDENTIFICATION;

RECURRENT NEURAL NETWORKS;

EID: 0034863234     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

1. Fuzzy modelling: Principles, methods and applications
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6. Identification and control of dynamic systems using neural networks
7. Gradient methods for the optimisation of dynamical systems containing neural networks
8. Robot control using Jordan neural networks
9. Memory networks for identification and control of dynamical systems
10. A recurrent neural net approach to one-step ahead control problems