Title :
Robust Multi-Objective Filtering for a Class of Neutral System with Bounded Noise and Parametric Uncertainty
Author :
Li, Xue-jun ; Chen, Hong ; Yu, Shu-you
Author_Institution :
Dept. of Control Sci. & Eng., Jilin Univ., Changchun
Abstract :
This paper considers a robust Hinfin filtering problem for a class of neutral delay differential uncertain systems with polytope type uncertainty. The main purpose is to obtain a stable linear filter such that the filtering error system remains robustly stable within a pre-specific Hinfin attenuation level or minimum H infin attenuation level gamma. Sufficient conditions are stated in terms of LMIs. Based on the LMI toolbox, the solutions of the inequalities are obtained. Moreover, as an improvement, the filtering error system dynamics can be constrained to some specific LMI regions. The validity of proposed filter design algorithm has been checked through a numerical example
Keywords :
Hinfin control; delay-differential systems; filtering theory; linear matrix inequalities; robust control; uncertain systems; Hinfin filtering problem; LMI toolbox; error system dynamics; filter design algorithm; linear filter; linear matrix inequality; neutral delay differential uncertain system; noise; parametric uncertainty; polytope type uncertainty; robust multiobjective filtering; Attenuation; Control systems; Cybernetics; Delay systems; Filtering; Linear matrix inequalities; Machine learning; Noise robustness; Nonlinear filters; Robust control; State estimation; Uncertain systems; Uncertainty; Filtering; Linear matrix inequality; Neutral delay system; Pole constraint; Uncertainty;
Conference_Titel :
Machine Learning and Cybernetics, 2006 International Conference on
Conference_Location :
Dalian, China
Print_ISBN :
1-4244-0061-9
DOI :
10.1109/ICMLC.2006.258326