State Filtering for Networked Control Systems Subject to Switching Disturbances

International Journal of Applied Mathematics and Computer Science

Chabir Karim¹  Rhouma Taouba¹  Sauter Dominique²  Keller Jean Yves² 

[1] MACS Laboratory: Modeling, Analysis and Control of Systems National Engineering School of Gabes (ENIG), University of Gabes,Gabes, Tunisia;Research Center for Automatic Control of Nancy Lorraine University, Vandeouvre lesNancy, France;

关键词: kalman filter;    unknown inputs;    constant bias;    switching disturbances;    linear system;    covariance matrix;   

DOI  :  10.2478/amcs-2018-0036

来源: DOAJ

【 摘 要 】

State estimation of stochastic discrete-time linear systems subject to unknown inputs has been widely studied, but few works take into account disturbances switching between unknown inputs and constant biases. We show that such disturbances affect a networked control system subject to deception attacks on the control signals transmitted by the controller to the plant via unreliable networks. This paper proposes to estimate the switching disturbance from an augmented state version of the intermittent unknown input Kalman filter. The sufficient stochastic stability conditions of the obtained filter are established when the arrival binary sequence of data losses follows a Bernoulli random process.

【 授权许可】

Unknown