Unknown input and state estimation for linear discrete-time systems with missing measurements and correlated noises
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Publication:2817117
DOI10.1080/03081079.2015.1106732zbMath1342.93108OpenAlexW2342871885MaRDI QIDQ2817117
Yurong Liu, Huisheng Shu, Bo Shen, Si-Ying Zhang
Publication date: 29 August 2016
Published in: International Journal of General Systems (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03081079.2015.1106732
Discrete-time control/observation systems (93C55) Estimation and detection in stochastic control theory (93E10) Linear systems in control theory (93C05)
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Cites Work
- State and input simultaneous estimation for a class of nonlinear systems
- Unbiased minimum-variance input and state estimation for linear discrete-time systems with direct feedthrough
- Unbiased minimum-variance state estimation for linear systems with unknown input
- Unbiased minimum-variance linear state estimation
- State and input estimation for a class of uncertain systems
- Unbiased minimum variance estimation for systems with unknown exogenous inputs
- Envelope-constrained \(\mathcal{H}_\infty\) filtering with fading measurements and randomly occurring nonlinearities: the finite horizon case
- A Gaussian approximation recursive filter for nonlinear systems with correlated noises
- Robust variance-constrained filtering for a class of nonlinear stochastic systems with missing measurements
- Robust state estimation for uncertain discrete-time stochastic systems with missing measurements
- Recursive filtering with random parameter matrices, multiple fading measurements and correlated noises
- State estimation of discrete-time systems with arbitrarily correlated noises
- Error variance-constrained ℋ∞filtering for a class of nonlinear stochastic systems with degraded measurements: the finite horizon case
- On stable simultaneous input and state estimation for discrete-time linear systems
- ReliableH∞state estimation for 2-D discrete systems with infinite distributed delays and incomplete observations
- State estimation for a class of discrete nonlinear systems with randomly occurring uncertainties and distributed sensor delays
- Optimal recursive estimation with uncertain observation
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