Game theory approach to state and input simultaneous estimation for discrete-time LTV systems
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Publication:5497375
DOI10.1080/00207721.2010.536397zbMath1307.93416OpenAlexW1987084983MaRDI QIDQ5497375
Fuli Wang, Fuqiang You, Shouping Guan
Publication date: 4 February 2015
Published in: International Journal of Systems Science (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00207721.2010.536397
Discrete-time control/observation systems (93C55) Estimation and detection in stochastic control theory (93E10) Linear systems in control theory (93C05) Observability (93B07)
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Cites Work
- State and input simultaneous estimation for a class of nonlinear systems
- Optimum performance levels for minimax filters, predictors and smoothers
- Unbiased minimum-variance input and state estimation for linear discrete-time systems
- State and unknown input estimation for linear discrete-time systems
- Unknown disturbance inputs estimation based on a state functional observer design.
- Reduced orderH∞ filter design for discrete time-variant systems
- An observer-based approach for chaotic synchronization with applications to secure communications
- Generalized state-space observers for chaotic synchronization and secure communication
- Explicit formulas for LMI-based \(H_2\) filtering and deconvolution
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