Title : 
Quantized H∞ filtering for singular systems
         
        
            Author : 
Lu, Renquan ; Fang, Shanhua ; Xue, Anke ; Wu, Hao
         
        
            Author_Institution : 
Inst. of Inf. & Control, Hangzhou Dianzi Univ., Hangzhou, China
         
        
        
        
        
        
            Abstract : 
This paper addresses the problem of quantized H∞ filtering for linear singular systems. The communication channel we consider encounters in the ideal case. For the ideal channel, we design a filter to mitigate the quantization effects, which ensures not only the robust stability but also a prescribed H∞ filtering performance for the filtering error systems. A sufficient condition is derived for the filtering error system to be admissible and achieve a prescribed H∞ noise attenuation performance. Finally, an illustrative example is given to show the effectiveness of the proposed results.
         
        
            Keywords : 
H∞ control; linear systems; stability; H∞ filtering performance; H∞ noise attenuation performance; communication channel; filtering error systems; linear singular systems; quantization effects; quantized H∞ filtering; robust stability; sufficient condition; Control systems; Kalman filters; Linear matrix inequalities; Linear systems; Quantization; Symmetric matrices; H∞ control; quantized; singular systems;
         
        
        
        
            Conference_Titel : 
Systems and Control in Aeronautics and Astronautics (ISSCAA), 2010 3rd International Symposium on
         
        
            Conference_Location : 
Harbin
         
        
            Print_ISBN : 
978-1-4244-6043-4
         
        
            Electronic_ISBN : 
978-1-4244-7505-6
         
        
        
            DOI : 
10.1109/ISSCAA.2010.5633389