Title :
Robust filtering for uncertain nonlinearly parameterized plants
Author :
Tuan, H.D. ; Apkarian, P. ; Nguyen, T.Q.
Author_Institution :
Dept. of Electr. & Comput. Eng., Toyota Technol. Inst., Nagoya, Japan
Abstract :
The paper addresses the robust filtering problem for systems assuming a nonlinear dependence in the uncertain parameter. This problem is among the most challenging problems in IIR filter design. Our solution methods are based on new linear matrix inequality characterizations of H2 and H∞ performances, which together with newly developed linearization transformations give flexible and computationally tractable formulations for the considered problems
Keywords :
FIR filters; H∞ control; robust control; H∞ performances; H2 performances; IIR filter design; linear matrix inequality characterizations; robust filtering; uncertain nonlinearly parameterized plants; Data engineering; Ear; Filtering; IIR filters; Linear matrix inequalities; Lyapunov method; Robustness; State estimation; Uncertain systems; Uncertainty;
Conference_Titel :
Decision and Control, 2001. Proceedings of the 40th IEEE Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-7061-9
DOI :
10.1109/.2001.980651
