Neuro-approach for intelligent systems development

IEEE International Conference on Neural Networks - Conference Proceedings

Volumn 4, Issue , 1997, Pages 2418-2423

  Omatu, Sigeru ^a   Yoshioka, Michifum ^a  

^a Osaka Prefecture University   (Japan)

Author keywords

intclligent control; Inverted pcndulum; neurocontrol; PID control

Indexed keywords

CONNECTION WEIGHTS; ENVIRONMENTAL CONDITIONS; ERROR BACK-PROPAGATION; INVERTED PCNDULUM; LOCAL MINIMUM PROBLEM; NEURO CONTROL; PROPORTIONAL PLUS INTEGRALS; SYSTEMS SPECIFICATION;

INTELLIGENT SYSTEMS; NEURAL NETWORKS; THREE TERM CONTROL SYSTEMS; ADAPTIVE CONTROL SYSTEMS; BACKPROPAGATION; CONVERGENCE OF NUMERICAL METHODS; GAIN CONTROL; GENETIC ALGORITHMS; TUNING;

PROPORTIONAL CONTROL SYSTEMS; INTELLIGENT CONTROL;

ERROR BACKPROPAGATION METHOD;

EID: 0030714364     PISSN: 10987576     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICNN.1997.614449     Document Type: Conference Paper

References (3)

1. W. T. Miller III, R. S. Sutton, and P. J. Werbos, "Neural Networks for Control", MIT Press.,1990.
2. D. A. White and D. A. Sofge Edited, "Handbook of Intelligent Control", Neural, Fuzzy, and Adaptive Approaches, Van Nostrand Reinhold,1992.
3. S. Omatu, M. Khalid, andR. Yusof, "Neuro-Control and Their Applications", Advances in Industrial Control, Springer-Verlag,1995.