Title :
Estimation for Markovian jump systems with sampled data
Author :
Liu Xiaoyang ; Yu Wenwu
Author_Institution :
Sch. of Comput. Sci. & Technol., JiangSu Normal Univ., Xuzhou, China
Abstract :
This paper is concerned with the state estimation problem for a class of Markovian jump systems with sampled-data, where the system measurements are sampled and then transmitted to the estimator in order to estimate the states of jumped systems under consideration. Based on the discontinuous sawtooth delay, a corresponding discontinuous Lyapunov functional is constructed, and sufficient conditions are established to guarantee the asymptotical mean-square stability of the error systems. The explicit expression of the desired estimators is also provided. Finally, one simulation example is given to illustrate the design procedures of the proposed method.
Keywords :
Lyapunov methods; Markov processes; asymptotic stability; delay systems; mean square error methods; sampled data systems; state estimation; Markovian jump systems; asymptotical mean-square stability; discontinuous Lyapunov functional; discontinuous sawtooth delay; error systems; sampled-data; state estimation problem; sufficient conditions; system measurements; Delays; Educational institutions; Markov processes; State estimation; Switches; Symmetric matrices; Discontinuous Lyapunov functional; Markovian jump systems; Sampled Data; State Estimation;
Conference_Titel :
Control Conference (CCC), 2013 32nd Chinese
Conference_Location :
Xi´an