Abstract
In this chapter, we develop some filtering results for the solutions to BSDEs and FBSDEs, which play an important role in studying the optimal control with incomplete information. We first state a theorem on the stochastic filtering of a general stochastic process. The proof of that result can be found in Liptser and Shiyayev [49], so we omit it here. Then, we apply this result to the stochastic filtering for the solutions to BSDEs in Section 3.2 and to those for FBSDEs in Section 3.3.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Bensoussan, A.: Stochastic Control of Partially Observable Systems. Cambridge University Press, Cambridge (1992)
Bode, H.W., Shannon, C.E.: A simplified derivation of linear least square smoothing and prediction theory. Proc. IRE 38, 417–425 (1950)
Duncan, T.: Doctoral Dissertation. Dept. of Electrical Engineering, Stanford University (1967)
El Karoui, N., Peng, S., Quenez, M.C.: Backward stochastic differential equations in finance. Math. Finance 7, 1–71 (1997)
Fujisaki, M., Kallianpur, G., Kunita, H.: Stochastic differential equations for the nonlinear filtering problem. Osaka J. Math. 9, 19–40 (1972)
Kailath, T.: An innovation approach to least-square estimation. Part I: Linear filtering in additive white noise. IEEE Trans. Automat. Control 13, 646–655 (1968)
Kailath, T., Frost, P.: An innovation approach to least-square estimation. Part II: Linear smoothing in additive white noise. IEEE Trans. Automat. Control 13, 656–660 (1968)
Kushner, H.J.: On the differential equations satisfied by conditional probablitity densities of Markov processes with applications. SIAM J. Control 2, 106–119 (1962)
Liptser, R.S., Shiryayev, A.N.: Statistics of Random Processes. Springer, New York (1977)
Mortensen, R.E.: Doctoral Dissertation. Dept. of Electrical Engineering. University of California at Berkeley (1966)
Stratonovich, R.L.: Conditional Markov processes. Theory Prob. Appl. 5, 156–178 (1960)
Wang, G., Wu, Z.: Kalman-Bucy filtering equations of forward and backward stochastic systems and applications to recursive optimal control problems. J. Math. Anal. Appl. 342, 1280–1296 (2008)
Wang, G., Zhang, C., Zhang, W.: Stochastic maximum principle for mean-field type optimal control with partial information. IEEE Trans. Automat. Control 59, 522–528 (2014)
Xiong, J.: An Introduction to Stochastic Filtering Theory. Oxford University Press, London (2008)
Yong, J., Zhou, X.: Stochastic Controls: Hamiltonian Systems and HJB Equations. Springer, New York (1999)
Zakai, M.: On the optimal filtering of diffusion processes. Z. Wahrsch. Geb. 11, 230–243 (1969)
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2018 The Author(s), under exclusive licence to Springer International Publishing AG, part of Springer Nature
About this chapter
Cite this chapter
Wang, G., Wu, Z., Xiong, J. (2018). Filtering of BSDE and FBSDE. In: An Introduction to Optimal Control of FBSDE with Incomplete Information. SpringerBriefs in Mathematics. Springer, Cham. https://doi.org/10.1007/978-3-319-79039-8_2
Download citation
DOI: https://doi.org/10.1007/978-3-319-79039-8_2
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-79038-1
Online ISBN: 978-3-319-79039-8
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)