Title :
A novel training method based on variable structure systems theory for fuzzy neural networks
Author :
Cigdem, Ozkan ; Kayacan, Erdal ; Khanesar, Mojtaba Ahmadieh ; Kaynak, Okyay ; Teshnehlab, Mohammad
Author_Institution :
Dept. of Electr. & Electron. Eng., Bogazici Univ., Istanbul, Turkey
Abstract :
Uncertainty is an inevitable problem in real-time industrial control systems and, to handle this problem and the additional one of possible variations in the parameters of the system, the use of sliding mode control theory-based approaches is frequently suggested. In this paper, instead of using a conventional sliding mode controller, a sliding mode control theory-based learning algorithm is proposed to train the fuzzy neural networks in a feedback-error-learning structure. The parameters of the fuzzy neural network are tuned by the proposed algorithm not to minimize the error function but to ensure that the error satisfies a stable equation. The parameter update rules of the fuzzy neural network are derived, and the proof of the learning algorithm is verified by using the Lyapunov stability method. The proposed method is tested on a real-time servo system with time-varying and nonlinear load conditions.
Keywords :
Lyapunov methods; feedback; fuzzy neural nets; industrial control; learning (artificial intelligence); nonlinear control systems; time-varying systems; uncertainty handling; variable structure systems; Lyapunov stability method; error function minimization; feedback-error-learning structure; fuzzy neural network training; nonlinear load condition; parameter update rules; real-time industrial control system; real-time servo system; sliding mode control theory based learning algorithm; time varying condition; variable structure system; Artificial neural networks; Control systems; DC motors; Fuzzy control; Fuzzy neural networks; Mathematical model; Neurons; Feedback error learning; Fuzzy neural networks; Servo system; Variable structure systems;
Conference_Titel :
Computational Intelligence in Control and Automation (CICA), 2011 IEEE Symposium on
Conference_Location :
Paris
Print_ISBN :
978-1-4244-9902-1
DOI :
10.1109/CICA.2011.5945757