Olv. Costa et al., Continuous-time state-feedback H-2-control of Markovian jump linear systems via convex analysis, AUTOMATICA, 35(2), 1999, pp. 259-268
Continuous-time H-2-control problem for the class of linear systems with Ma
rkovian jumps (MJLS) using convex analysis is considered in this paper. The
definition of the H-2-norm for continuous-time MJLS is presented and relat
ed to the appropriate observability and controllability Gramians. A convex
programming formulation for the H-2-control problem of MJLS is developed. T
hat enables us to tackle the optimization problem of MJLS under the assumpt
ion that the transition rate matrix Pi = [pi(ij)] for the Markov chain may
not be exactly known, but belongs to an appropriate convex set. An equivale
nce between the convex formulation when Pi is exactly known and the usual d
ynamic programming approach of quadratic optimal control of MJLS is establi
shed. It is shown that there exists a solution for the convex programming p
roblem if and only if there exists the mean-square stabilizing solution for
a set of coupled algebraic Riccati equations. These results are compared w
ith other related works in the current literature. (C) 1999 Elsevier Scienc
e Ltd. All rights reserved.