Title :
Improved H2 controller design for Markov jump linear system with general transition probabilities
Author :
Dan Ye ; Quan-Yong Fan ; Xin-Gang Zhao
Author_Institution :
Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
Abstract :
This paper concentrates on the problem of designing H2 state-feedback controllers for continuous-time Markovian jump linear systems (MJLSs) with more general transition rates. The elements in the considered transition rates matrix include completely known, boundary known and completely unknown ones. Some new techniques are proposed to deal with transition probabilities, and less conservative conditions than those in [14] for H2 performance analysis of MJLs are obtained in the framework of linear matrix inequalities. Moreover, the unknown transition probabilities can be decoupled from the Lyapunov matrices. As a result, new sufficient conditions for H2 controller vis state feedback are proposed. Finally, a numerical example is given to verify the effectiveness and superiority of the proposed method.
Keywords :
H2 control; Lyapunov matrix equations; Markov processes; continuous time systems; control system synthesis; linear matrix inequalities; linear systems; probability; state feedback; H2 controller design; H2 performance analysis; H2 state-feedback controller design; Lyapunov matrices; MJLS; Markov jump linear system; continuous-time Markovian jump linear systems; linear matrix inequality; state feedback; sufficient conditions; transition probability; transition rates matrix; Closed loop systems; Educational institutions; Linear matrix inequalities; Linear systems; Markov processes; Performance analysis; Upper bound;
Conference_Titel :
Control Automation Robotics & Vision (ICARCV), 2012 12th International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
978-1-4673-1871-6
Electronic_ISBN :
978-1-4673-1870-9
DOI :
10.1109/ICARCV.2012.6485359