Markovian jump systems disturbance attenuation over a Gaussian communication channel

Author

Song Yang ; Dong Hao ; Yang Taicheng ; Zheng Min

Author_Institution

Sch. of Mechatron. Eng. & Autom., Shanghai Univ., Shanghai, China

fYear

2013

Firstpage

6727

Lastpage

6731

Abstract

In this paper, networked control through memoryless Gaussian communication channel is researched. For a class of Markov jump systems, discuss the disturbance attenuation performance of unstable subsystems. It is assumed that the signal transmission using a discrete Gaussian channel in feedback control, the degree of system variables disturbed can be described quantitatively by information entropy. Based on differential entropy and convex function theory, give a differential entropy property of random vector function; then introduce entropy power concept for measuring system disturbance attenuation performance; finally, the lower bound of system state mean square norm is provided.

Keywords

Gaussian channels; Markov processes; entropy; feedback; networked control systems; Gaussian communication channel; Markovian jump system disturbance attenuation; convex function theory; differential entropy property; discrete Gaussian channel; entropy power concept; feedback control; information entropy; lower bound; memoryless Gaussian communication channel; networked control system; random vector function; signal transmission; system disturbance attenuation performance measurement; system state mean square norm; system variables; unstable subsystems; Attenuation; Communication channels; Educational institutions; Electronic mail; Entropy; Markov processes; Silicon; Disturbance Attenuation; Information Entropy; Markov Jump Systems; Networked Control;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Conference (CCC), 2013 32nd Chinese

Conference_Location

Xi´an

Type

conf

Filename

6640620