Title : 
Output quantized feedback with bounded system noise
         
        
            Author : 
Yuqiang Long ; Qiang Ling ; Zhe Yan ; Feng Li ; Song Wang
         
        
            Author_Institution : 
Univ. of Sci. & Technol. of China, Hefei, China
         
        
        
            fDate : 
May 31 2014-June 2 2014
         
        
        
        
            Abstract : 
It is of great value to study control systems employing sensors and actuators which are geographically separated. In this paper, we study a system with bounded noise and stabilize it under output quantized feedback. Some people have done research on full-state observable linear systems. Here we consider the general(not necessarily full-state observable) output feedback situation with system noise. We use dynamic quantization strategy and prove the quantized system with a state observer can achieve practical stability at the same minimum bit rate in the full-state case. Furthermore, we give an upper bound of the estimation error. At last, we show simulation result of the state of output feedback control on the system.
         
        
            Keywords : 
control system analysis; feedback; observers; stability; bounded system noise; dynamic quantization strategy; estimation error upper bound; output feedback control; output quantized feedback; quantized system; stability; state observer; Control systems; Decoding; Eigenvalues and eigenfunctions; Encoding; Noise; Observers; Quantization (signal); Bounded noise; dynamic quantization; output feedback; quantization;
         
        
        
        
            Conference_Titel : 
Control and Decision Conference (2014 CCDC), The 26th Chinese
         
        
            Conference_Location : 
Changsha
         
        
            Print_ISBN : 
978-1-4799-3707-3
         
        
        
            DOI : 
10.1109/CCDC.2014.6852553