Resumen de Disturbance attenuation and rejection for stochastic Markovian jump system with partially known transition probabilities
Haibin Sun-, Yankai Liu, Guangdeng Zong, Linlin Hou-
In this paper, the problem of disturbance attenuation and rejection is investigated for stochastic Markovian jump system with multiple disturbances, which include white noises and disturbances with partially known information. A disturbance observer is designed to estimate the disturbances with partially known information. Based on the estimation value, a disturbance observer based attenuation and rejection controller is constructed such that the closed-loop system is asymptotically bounded in mean square or asymptotically stable in probability under different conditions. Finally, a numerical example is given to illustrate the effectiveness of the proposed approach.
