A training rule which guarantees finite-region stability for a class of closed-loop neural-network control systems

IEEE Transactions on Neural Networks

Volumn 7, Issue 3, 1996, Pages 745-751

  Kuntanapreeda, Suwat ^a   Fullmer, R Rees ^a  

^a UTAH STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BACKPROPAGATION; CLOSED LOOP CONTROL SYSTEMS; COMPUTER SIMULATION; FEEDBACK CONTROL; LEARNING ALGORITHMS; LYAPUNOV METHODS; NONLINEAR CONTROL SYSTEMS; SAMPLED DATA CONTROL SYSTEMS; SYSTEM STABILITY;

FINITE REGION STABILITY; FULL STATE REGULATORS; NEURAL NETWORK CONTROLLERS; TRAINING RULE;

FEEDFORWARD NEURAL NETWORKS;

EID: 0030145347     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/72.501730     Document Type: Article

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