An application of the information theory to estimation problems
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Publication:4115098
DOI10.1016/S0019-9958(76)90140-6zbMath0345.94024OpenAlexW2048449370MaRDI QIDQ4115098
No author found.
Publication date: 1976
Published in: Information and Control (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/s0019-9958(76)90140-6
Discrete-time control/observation systems (93C55) Estimation and detection in stochastic control theory (93E10) Information theory (general) (94A15) Model systems in control theory (93C99)
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Minimum entropy of error principle in estimation ⋮ A note on the W-S lower bound of the MEE estimation ⋮ An extended result on the optimal estimation under the minimum error entropy criterion ⋮ Some further results on the minimum error entropy estimation ⋮ On the smoothed minimum error entropy criterion ⋮ Estimability and stochastic observability of quantised linear systems ⋮ Conditional entropy theorem for recursive parameter estimation and its application to state estimation problems ⋮ Optimal estimation problems for a linear distributed parameter system
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