Title :
Mode-Independent
Filters for Markovian Jump Linear Systems
Author :
de Souza, Carlos E. ; Trofino, Alexandre ; Barbosa, Karina A.
Author_Institution :
Dept. of Syst. & Control, Laboratorio Nacional de Cornputacao Cientifica, Petropolis
Abstract :
This note addresses the problem of Hinfin filtering for continuous-time linear systems with Markovian jumping parameters. The main contribution of the note is to provide a method for designing an asymptotically stable linear time-invariant Hinfin filter for systems where the jumping parameter is not accessible. The cases where the transition rate matrix of the Markov process is either exactly known, or unknown but belongs to a given polytope, are treated. The robust Hinfin filtering problem for systems with polytopic uncertain matrices is also considered and a filter design method based on a Lyapunov function that depends on the uncertain parameters is developed. The proposed filter designs are given in terms of linear matrix inequalities
Keywords :
Lyapunov matrix equations; Markov processes; asymptotic stability; continuous time systems; filtering theory; linear matrix inequalities; linear systems; robust control; time-varying systems; uncertain systems; Lyapunov function; Markov process; Markovian jump linear system; asymptotically stable; continuous-time linear systems; filter design; linear matrix inequalities; linear time-invariant Hinfin filter; mode-independent filter; polytopic uncertain matrices; robust filtering; Automatic control; Automation; Control systems; Estimation error; Filtering; Linear matrix inequalities; Nonlinear filters; Power filters; Statistics; Symmetric matrices; ${cal H}_{infty}$ filtering; Markovian jump linear systems; mode-independent filter; robust filtering;
Journal_Title :
Automatic Control, IEEE Transactions on
DOI :
10.1109/TAC.2006.883060