Title :
Identification of Dynamic Nonlinear Systems using Computational Intelligence Techniques
Author :
Turchetti, Claudio ; Gianfelici, Francesco
Author_Institution :
Dipt. di Elettronica, Intelligenza Artificiale e Telecomunicazioni, Universita Politecnica delle Marche, Ancona
Abstract :
A novel approach based on computational intelligence techniques for the identification of nonlinear dynamic systems is presented in this paper. The technique encompasses both the properties of the Karhunen-Loeve transform in representing stochastic processes and the approximation capabilities of multi-layer neural networks. Experimental results on nonlinear systems governed by difference equations demonstrate the effectiveness of the proposed approach that is based on a real-time learning algorithm. Exhaustive experimentation on specific case studies was performed and some experimental results were compared with other existing techniques such as the Lee-Schetzen method, least mean square (LMS), recursive least square (RLS) and normalized least mean square (NLMS) algorithms. A better identification-accuracy was also achieved, and a reduction of some orders of magnitude in training-times compared with the well-known Lee-Schetzen method was obtained, thus making the proposed methodology one of the current best practices in this field
Keywords :
Karhunen-Loeve transforms; difference equations; identification; learning (artificial intelligence); multilayer perceptrons; nonlinear dynamical systems; stochastic processes; Karhunen-Loeve transform; computational intelligence; difference equations; dynamic nonlinear system identification; learning; multilayer neural networks; stochastic process; Computational intelligence; Difference equations; Karhunen-Loeve transforms; Least squares approximation; Least squares methods; Multi-layer neural network; Nonlinear systems; Real time systems; Resonance light scattering; Stochastic processes; Karhunen-Loÿve Transform; Multi-Layer Neural Networks; Nonlinear Dynamic Systems; System Identification;
Conference_Titel :
Computational Intelligence in Image and Signal Processing, 2007. CIISP 2007. IEEE Symposium on
Conference_Location :
Honolulu, HI
Print_ISBN :
1-4244-0707-9
DOI :
10.1109/CIISP.2007.369291