Title :
Reliable control for discrete-time Markovian jump singular systems with partly unknown transition probabilities
Author :
Jianhua Wang ; Qingling Zhang ; Ben Niu
Author_Institution :
Inst. of Syst. Sci., Northeastern Univ., Shenyang, China
Abstract :
In this paper, the reliable control problem is studied for a class of discrete linear Markovian jump singular systems with actuator failures. A more practical model of actuator failures than outage is considered. It is important that the transition probabilities of the jumping process are assumed to be partly unknown. The failures of actuator are quantified by a variable taking values in a given interval. The purpose of the addressed reliable control problem is to design a reliable controller based on the state feedback method such that the closed-loop systems are asymptotically mean-square stable disturbance attenuation not only when all actuators are operational, but also in case of some actuator failures. The solvability condition of controllers can be equivalent to a feasibility problem of coupled linear matrix inequalities (LMIs). A numerical example is provided to demonstrate the effectiveness of the proposed design approach.
Keywords :
Markov processes; actuators; asymptotic stability; closed loop systems; discrete time systems; linear matrix inequalities; mean square error methods; probability; state feedback; LMI; actuator failure; asymptotic stability; closed-loop system; discrete-time Markovian jump singular system; linear matrix inequalities; mean-square stable disturbance attenuation; state feedback method; transition probability; Actuators; Linear matrix inequalities; Linear systems; Power system reliability; Reliability engineering; Symmetric matrices; Actuator failure; Linear matrix inequality (LMI); Markovian jump singular systems; Partly unknown transition probabilities; Reliable Control;
Conference_Titel :
Mechatronics and Control (ICMC), 2014 International Conference on
Print_ISBN :
978-1-4799-2537-7
DOI :
10.1109/ICMC.2014.7231568