State estimation for nonlinear discrete-time systems with Markov jumps and nonhomogeneous transition probabilities

DOI10.1155/2013/293456zbMath1296.93189OpenAlexW2161883803WikidataQ59025722 ScholiaQ59025722MaRDI QIDQ460421

Fei Liu, Shunyi Zhao, Zhi Guo Wang

Publication date: 13 October 2014

Published in: Mathematical Problems in Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2013/293456

Mathematics Subject Classification ID

Estimation and detection in stochastic control theory (93E10)

Cites Work

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• Bayesian estimation for jump Markov linear systems with non-homogeneous transition probabilities
• Robust \(L_2-l_\infty\) filtering of time-delay jump systems with respect to the finite-time interval
• A novel interacting multiple model algorithm
• Design of \(H_\infty \) filter for Markov jumping linear systems with non-accessible mode information
• \(H_\infty \) estimation for discrete-time piecewise homogeneous Markov jump linear systems
• Global exponential estimates for uncertain Markovian jump neural networks with reaction-diffusion terms
• Robust \(H_\infty \) sliding-mode control for Markovian jump systems subject to intermittent observations and partially known transition probabilities
• The interacting multiple model algorithm for systems with Markovian switching coefficients
• Adaptive estimation and identification for discrete systems with Markov jump parameters
• Asymptotic behavior of the extended Kalman filter as a parameter estimator for linear systems
• Multiple-model estimation with variable structure
• Risk‐sensitive filtering for nonlinear Markov jump systems on the basis of particle approximation
• Polynomial extended Kalman filter

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