Title :
Soft computing approach to nonlinear system identification
Author :
Kawaji, Shigeyasu ; Chen, Yuehui
Author_Institution :
Graduate Sch. of Sci. & Technol., Kumamoto Univ., Japan
Abstract :
This paper is concerned with the identification of nonlinear systems by utilizing soft computing approaches. A uniformly framework for evolving the basis function,networks is proposed. The used soft computing technologies including probabilistic incremental program evolution algorithm, (PIPE), artificial neural networks (ANNs), fuzzy systems and random search algorithm.. Simulation results for the identification, of nonlinear systems show the feasibility and effectiveness of the proposed method
Keywords :
computer aided analysis; evolutionary computation; fuzzy systems; identification; neural nets; nonlinear systems; search problems; ANN; PIPE; artificial neural networks; fuzzy systems; nonlinear system identification; probabilistic incremental program evolution algorithm; random search algorithm; soft computing approach; Computer networks; Constraint optimization; Function approximation; Fuzzy logic; Fuzzy systems; Neural networks; Nonlinear control systems; Nonlinear systems; Polynomials; Space technology;
Conference_Titel :
Industrial Electronics Society, 2000. IECON 2000. 26th Annual Confjerence of the IEEE
Conference_Location :
Nagoya
Print_ISBN :
0-7803-6456-2
DOI :
10.1109/IECON.2000.972549
