Information Flow and Entropy Production in the Kalman-Bucy Filter ∗
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[1] K. E.,et al. The Theory of Heat , 1929, Nature.
[2] P. S. Bauer. Dissipative Dynamical Systems: I. , 1931, Proceedings of the National Academy of Sciences of the United States of America.
[3] J. Willems. Dissipative dynamical systems part I: General theory , 1972 .
[4] Ben-Zion Bobrovsky,et al. A lower bound on the estimation error for certain diffusion processes , 1976, IEEE Trans. Inf. Theory.
[5] J. Willems,et al. Stochastic control and the second law of thermodynamics , 1978, 1978 IEEE Conference on Decision and Control including the 17th Symposium on Adaptive Processes.
[6] Charles H. Bennett,et al. The thermodynamics of computation—a review , 1982 .
[7] H. Heyer. Statistics of random processes I: General theory , 1983 .
[8] W. T. Tucker. Linear Estimation and Stochastic Control , 1984 .
[9] M. Zakai,et al. On a formula relating the Shannon information to the fisher information for the filtering problem , 1984 .
[10] Michael Benjamin Propp,et al. The thermodynamic properties of Markov processes , 1985 .
[11] Hans-Otto Georgii,et al. Gibbs Measures and Phase Transitions , 1988 .
[12] G. Barton. Foundations of statistical mechanics , 1989 .
[13] J. Lebowitz,et al. A Gallavotti–Cohen-Type Symmetry in the Large Deviation Functional for Stochastic Dynamics , 1998, cond-mat/9811220.
[14] van Aernout Enter. Statistical Mechanics, A Short Treatise , 2000 .
[15] A. Shiryayev,et al. Statistics of Random Processes Ii: Applications , 2000 .
[16] C. Landim,et al. Macroscopic Fluctuation Theory for Stationary Non-Equilibrium States , 2001, cond-mat/0108040.
[17] Sanjoy K. Mitter,et al. A Variational Approach to Nonlinear Estimation , 2003, SIAM J. Control. Optim..