Robust filtering for uncertain delay systems under sampled measurements
Signal Processing
Robust filtering for jumping systems with mode-dependent delays
Signal Processing
Brief paper: Sliding mode control for Itô stochastic systems with Markovian switching
Automatica (Journal of IFAC)
Automatica (Journal of IFAC)
Brief paper: H∞ filtering for 2D Markovian jump systems
Automatica (Journal of IFAC)
Automatica (Journal of IFAC)
Brief paper: A refined input delay approach to sampled-data control
Automatica (Journal of IFAC)
Robust filtering design for stochastic system with mode-dependent output quantization
IEEE Transactions on Signal Processing
Stabilization of Nonlinear Systems Under Variable Sampling: A Fuzzy Control Approach
IEEE Transactions on Fuzzy Systems
Brief Robust H∞ filtering for uncertain impulsive stochastic systems under sampled measurements
Automatica (Journal of IFAC)
Brief Nonlinear H∞ filtering of sampled-data systems
Automatica (Journal of IFAC)
Technical Communique: Robust sampled-data stabilization of linear systems: an input delay approach
Automatica (Journal of IFAC)
H∞ output feedback control for uncertain stochastic systems with time-varying delays
Automatica (Journal of IFAC)
Robust integral sliding mode control for uncertain stochastic systems with time-varying delay
Automatica (Journal of IFAC)
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This paper investigates the H"~ filtering problem for sampled-data stochastic systems with limited capacity channel. The considered plant is described by a class of Ito stochastic systems subject to external disturbance. The output measurements are sampled and quantized, and then transmitted through a network medium. The aim of this paper is focused on the design of full order filters by using the quantized sampled outputs. In sampled-data systems, the value of the sampled signal increases abruptly at sampling times, and traditional filter design results based on time-independent Lyapunov-Krasovskii functionals (or Lyapunov-Razumikhin functions) may be conservative. The main contribution of this paper is to propose a new type of time-dependent Lyapunov function for Ito stochastic systems which does not increase in sampling times due to its special mathematical structure. Based on this approach, sufficient conditions for the existence of the proposed filter are established such that the filtering error system is stochastically stable and preserves a guaranteed H"~ performance. A numerical example is provided to illustrate the effectiveness of the proposed filtering technique in this paper.