Title : 
An analogue of Shannon information theory for networked control systems. Stabilization via a noisy discrete channel
         
        
            Author : 
Matveev, Alexey S. ; Savkin, Andrey V.
         
        
            Author_Institution : 
Dept. of Math. & Mech., St. Petersburg Univ., Russia
         
        
        
        
        
        
            Abstract : 
The paper addresses feedback stabilization problems in a remote control setup, where the measurements are communicated to the controller over a noisy digital channel. A discrete-time partially observed time-invariant linear systems are studied. It is shown that the classic Shannon´s noisy channel capacity constitutes the border separating the cases where the plant can and, respectively, cannot be feedback stabilized almost surely. A quantized feedback control law stabilizing the system almost surely is proposed.
         
        
            Keywords : 
channel capacity; discrete time systems; feedback; linear systems; stability; telecontrol; Shannon information theory; discrete-time partially observed time-invariant linear systems; feedback stabilization; networked control systems; noisy digital channel; noisy discrete channel; quantized feedback control law; remote control; stabilization; Bandwidth; Channel capacity; Communication system control; Control systems; Control theory; Feedback; Information theory; Mobile communication; Networked control systems; Underwater vehicles;
         
        
        
        
            Conference_Titel : 
Decision and Control, 2004. CDC. 43rd IEEE Conference on
         
        
            Conference_Location : 
Nassau
         
        
        
            Print_ISBN : 
0-7803-8682-5
         
        
        
            DOI : 
10.1109/CDC.2004.1429458