Brief paper: Stabilization of linear systems over networks with bounded packet loss
Automatica (Journal of IFAC)
Efficient particle filtering for jump Markov systems. Application to time-varying autoregressions
IEEE Transactions on Signal Processing
A delay-dependent approach to robust H∞ filtering for uncertain discrete-time state-delayed systems
IEEE Transactions on Signal Processing
Robust H∞ filter design of uncertain descriptor systems with discrete and distributed delays
IEEE Transactions on Signal Processing
Iterative algorithms for state estimation of jump Markov linearsystems
IEEE Transactions on Signal Processing
Technical Communique: Effects of small delays on stability of singularly perturbed systems
Automatica (Journal of IFAC)
Automatica (Journal of IFAC)
Brief On robust stabilization of Markovian jump systems with uncertain switching probabilities
Automatica (Journal of IFAC)
Controller design for Markov jumping systems subject to actuator saturation
Automatica (Journal of IFAC)
H∞ filtering with stochastic sampling
Signal Processing
l2-l∞ filter design for discrete-time singular Markovian jump systems with time-varying delays
Information Sciences: an International Journal
H∞ filtering for networked systems with partly known distribution transmission delays
Information Sciences: an International Journal
State estimation for Markovian Jump Linear Systems with bounded disturbances
Automatica (Journal of IFAC)
Information Sciences: an International Journal
Hi-index | 22.15 |
For Markov jumping linear systems (MJLS), it is often encountered that the jumping mode cannot be accessible for filtering. Therefore it is strongly desirable to design a filter which is independent of the jumping model. In this paper, a new deterministic filter design procedure is proposed, which shows less conservatism than existing results. The whole design procedure can be accomplished by solving a set of linear matrix inequalities (LMIs). Finally, numerical examples are given to illustrate the effectiveness of the proposed approach.