Robust ℋ∞ filtering for uncertaindiscrete-time state-delayed systems
IEEE Transactions on Signal Processing
Reduced-order H∞ filtering for stochastic systems
IEEE Transactions on Signal Processing
Brief Robust H∞ filtering for uncertain impulsive stochastic systems under sampled measurements
Automatica (Journal of IFAC)
Improved robust H2 and H∞ filtering for uncertain discrete-time systems
Automatica (Journal of IFAC)
H∞ filtering of network-based systems with random delay
Signal Processing
Automatica (Journal of IFAC)
H∞ filtering of networked discrete-time systems with random packet losses
Information Sciences: an International Journal
Quantized H∞control for networked control systems with random delays
CCDC'09 Proceedings of the 21st annual international conference on Chinese Control and Decision Conference
Quantized H∞filter design for networked systems with random sensor delays
CCDC'09 Proceedings of the 21st annual international conference on Chinese Control and Decision Conference
H∞filter design for discrete-time system with lossy measurement: an LMI approach
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
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This paper investigates an H"~ filtering problem for discrete-time systems with randomly varying sensor delays. The stochastic variable involved is a Bernoulli distributed white sequence appearing in measured outputs. This measurement mode can be used to characterize the effect of communication delays and/or data-loss in information transmissions across limited bandwidth communication channels over a wide area. H"~ filtering of this class of systems is used to design a filter using the measurements with random delays to ensure the mean-square stochastic stability of the filtering error system and to guarantee a prescribed H"~ filtering performance. A sufficient condition for the existence of such a filter is presented in terms of the feasibility of a linear matrix inequality (LMI). Finally, a numerical example is given to illustrate the effectiveness of the proposed approach.