Title :
Combined adaptive system for identification of unknown systems with varying parameters in a noisy environment
Author :
Krstajic, Bozo ; Stankovic, Ljubisa ; Uskokovic, Zdravko ; Djurovic, Igor
Author_Institution :
Dept. of Electr. Eng., Montenegro Univ., Yugoslavia
Abstract :
This paper proposed an combined adaptive system for identification of unknown systems with varying parameters in a noisy environment. The paper presented comparative analysis of the proposed algorithm, LMS and GLMS algorithms, used in this identification. The presented comparative results of the considered adaptive systems verify the advantage of the proposed algorithm
Keywords :
Gaussian noise; adaptive filters; adaptive signal processing; identification; least mean squares methods; uncertain systems; GLMS algorithm; LMS algorithm; combined LMS/GLMS algorithm; combined adaptive system; noisy environment; unknown system identification; varying parameters; Adaptive algorithm; Adaptive systems; Algorithm design and analysis; Communication system control; Control systems; Gaussian noise; Least squares approximation; Process control; Signal processing algorithms; Working environment noise;
Conference_Titel :
Electronics, Circuits and Systems, 1999. Proceedings of ICECS '99. The 6th IEEE International Conference on
Conference_Location :
Pafos
Print_ISBN :
0-7803-5682-9
DOI :
10.1109/ICECS.1999.813216
