Title :
A robust nonlinear system identification algorithm based on homotopy theory
Author :
Gang, Wei ; Hua, Li ; Man, K.F. ; Kwong, Sam
Author_Institution :
Dept. of Electron. & Commun. Eng., South China Univ. of Technol., Guangzhou, China
Abstract :
Based on the homotopy theory, this paper presents a robust nonlinear system identification algorithm. Theoretical analysis and experimental results show that, unlike the ordinary nonlinear system identification methods, the new method is more robust and easier to compute, has very good convergence property and compatibility with the traditional linear system identification
Keywords :
identification; nonlinear systems; homotopy theory; robust nonlinear system identification algorithm; Convergence; Educational programs; Equations; Linear systems; Mathematical model; Modems; Nonlinear systems; Robustness; Signal processing algorithms; System identification;
Conference_Titel :
Systems, Man, and Cybernetics, 1997. Computational Cybernetics and Simulation., 1997 IEEE International Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-4053-1
DOI :
10.1109/ICSMC.1997.638145
