Finite-timeH ∞ filtering for a class of discrete-time Markovian jump systems with partly unknown transition probabilities

DOI10.1002/acs.2425zbMath1337.93090OpenAlexW2115566489MaRDI QIDQ2802048

Yong Zeng, Liyuan Hou, Jun Cheng, Hong Zhu, Shou-ming Zhong

Publication date: 22 April 2016

Published in: International Journal of Adaptive Control and Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/acs.2425

zbMATH Keywords

discrete-time systemsMarkovian jump systems\(H_{\infty}\) filteringpartly unknown transition probabilities\(H_{\infty}\) finite-time stability

Mathematics Subject Classification ID

Related Items (12)

Non-fragile finite-time \(H_\infty\) state estimation of neural networks with distributed time-varying delay ⋮ Finite-time mixed H_∞ and passive filtering for Takagi–Sugeno fuzzy nonhomogeneous Markovian jump systems ⋮ Robust observer-based finite-time \(H_\infty\) control for discrete-time singular Markovian jumping system with time delay and actuator saturation ⋮ Stochastic finite-time stability of reaction-diffusion Cohen-Grossberg neural networks with time-varying delays ⋮ Suboptimal filtering of networked discrete-time systems with random observation losses ⋮ Sufficient conditions on the exponential stability of neutral stochastic differential equations with time-varying delays ⋮ Finite-time boundedness for a class of delayed Markovian jumping neural networks with partly unknown transition probabilities ⋮ and filter design for polytopic continuous‐time Markov jump linear systems with uncertain transition rates ⋮ Finite-time \(H_\infty\) estimation for discrete-time Markov jump systems with time-varying transition probabilities subject to average Dwell time switching ⋮ Non-fragile finite-time filter design for time-delayed Markovian jumping systems via T-S fuzzy model approach ⋮ New results onH_∞filtering for nonlinear large-scale systems with interconnected time-varying delays ⋮ Finite-time \(H_{\infty }\) filtering for discrete-time piecewise homogeneous Markov jump systems with missing measurements

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