Title :
Wavelet fuzzy neural network-based predictive control system
Author :
El-Rabaie, Nabila M. ; Awad, Hamdi A. ; Mahmoud, Tarek A.
Author_Institution :
Fac. of Electron. Eng., Menoufia Univ., Egypt
Abstract :
The performance of a model-based control system depends strongly on the accuracy of the process model used. This paper proposes a hybrid wavelet fuzzy neural network for modeling and control purposes. The proposed network inherits the advantages of both fuzzy and wavelet neural networks and avoids their individual shortcomings. Learning of the proposed network consists of two phases, structure learning, and parameter learning. Based on the proposed network, model-based predictive control scheme is introduced for control purposes. The soundness and the efficiency of the proposed scheme are tested using the mean arterial blood pressure control system.
Keywords :
adaptive control; control systems; fuzzy control; fuzzy neural nets; inference mechanisms; learning (artificial intelligence); predictive control; wavelet transforms; adaptive reasoning theory; mean arterial blood pressure control system; model-based control system; parameter learning; predictive control system; process model; structure learning; wavelet fuzzy neural network; wavelet transform; Acoustic testing; Arterial blood pressure; Control system synthesis; Fuzzy control; Fuzzy neural networks; Fuzzy systems; Neural networks; Predictive control; Predictive models; System testing;
Conference_Titel :
Electrotechnical Conference, 2004. MELECON 2004. Proceedings of the 12th IEEE Mediterranean
Print_ISBN :
0-7803-8271-4
DOI :
10.1109/MELCON.2004.1346850
