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In this paper, we are concerned with a stochastic optimal control problem of mean-field type under partial observation, where the state equation is governed by the controlled nonlinear mean-field stochastic differential equation, moreover the observation noise is allowed to enter into the state equation and the observation coefficients may depend not only on the control process and but also on its probability distribution.
Ekeland, I., & Témam, R., 1976. Convex Analysis and Variational Problems,
1976
Earlier work this paper cites.
Bensoussan, A., 1982. Lectures on Stochastic Control. In: Nonlinear Filtering and Stochastic Control, S.K. Mitter, A. Moro, eds
1982
Earlier work this paper cites.
Bensoussan, A., 1983. Maximum principle and dynamic programming approaches of the optimal control of partially observed diffusions. Stochastics: An International Journal of Probability and Stochastic Processes,
1983
Earlier work this paper cites.
Tang, S., 1998. The maximum principle for partially observed optimal control of stochastic differential equations. SIAM Journal on Control and optimization,
1998
Earlier work this paper cites.
Baghery, F., Baghery, F., & Øksendal, B. (2007). A maximum principle for stochastic control with partial information. Stochastic Analysis and Applications,
2007
Earlier work this paper cites.
Wang, G., & Wu, Z.,2009. The maximum principles for stochastic recursive optimal control problems under partial information. IEEE Transactions on Automatic control,
2009
Earlier work this paper cites.
Wu, Z.,2010. A maximum principle for partially observed optimal control of forward-backward stochastic control systems. Science China information sciences,
2010
Earlier work this paper cites.
Andersson, D., & Djehiche, B., 2011. A maximum principle for SDEs of mean-field type. Applied Mathematics and Optimization
2011
Earlier work this paper cites.
Buckdahn, R., Djehiche, B., & Li, J., 2011. A general stochastic maximum principle for SDEs of mean-field type. Applied Mathematics and Optimization
2011
Earlier work this paper cites.
Li, J., 2012. Stochastic maximum principle in the mean-field controls. Automatica
2012
Cited alongside, same era.
Meyer-Brandis, T., Øksendal, B., Zhou, X.Y., 2012. A mean-field stochastic maximum principle via Malliavin calculus. Stochastics
2012
Cited alongside, same era.
Du, H., Huang, J., & Qin, Y. (2013). A stochastic maximum principle for delayed mean-field stochastic differential equations and its applications. IEEE Transactions on Automatic Control
2013
Cited alongside, same era.
Elliott, R., Li, X., & Ni, Y. H, 2013. Discrete time mean-field stochastic linear-quadratic optimal control problems. Automatica
2013
Cited alongside, same era.
Hafayed, M. (2013). A mean-field maximum principle for optimal control of forward-backward stochastic differential equations with Poisson jump processes. International Journal of Dynamics and Control
2013
Chala, A. (2014). The relaxed optimal control problem for Mean-Field SDEs systems and application. Automatica,
2014
Later among the works it cites.
Shen, Y., Meng, Q., & Shi, P., 2014. Maximum principle for mean-field jump-diffusion stochastic delay differential equations and its application to finance. Automatica
2014
Later among the works it cites.
Wang, G., Wu, Z., & Zhang, C. ,2014a. Maximum principles for partially observed mean-field stochastic systems with application to financial engineering. In Control Conference (CCC), 2014 33rd Chinese (pp. 5357-5362). IEEE
2014
Later among the works it cites.
Hafayed, M., Abbas, S., & Abba, A. (2015). On mean-field partial information maximum principle of optimal control for stochastic systems with Lévy processes. Journal of Optimization Theory and Applications,
2015
Later among the works it cites.
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Cited alongside, same era.
Kallianpur, G., 2013. Stochastic filtering theory (Vol. 13)
2013
Cited alongside, same era.
Shen, Y., & Siu, T.K., 2013. The maximum principle for a jump-diffusion mean-field model and its application to the mean-variance problem. Nonlinear Analysis: Theory, Methods & Applications
2013
Cited alongside, same era.
Wang, G., Wu, Z., & Xiong, J. ,2013. Maximum principles for forward-backward stochastic control systems with correlated state and observation noises. SIAM Journal on Control and Optimization,
2013
Cited alongside, same era.
Yong, J., 2013. Linear-quadratic optimal control problems for mean-field stochastic differential equations. SIAM journal on Control and Optimization
2013
Cited alongside, same era.
Buckdahn, R., Djehiche, B., Li, J., & Peng, S., 2009a. Mean-field backward stochastic differential equations: a limit approach. The Annals of Probability
Cited in the paper.
Buckdahn, R., Li, J., & Peng, S., 2009b. Mean-field backward stochastic differential equations and related partial differential equations. Stochastic Processes and their Applications
Cited in the paper.
Wang, G., Wu, Z., & Xiong, J.,2015a. A linear-quadratic optimal control problem of forward-backward stochastic differential equations with partial information. IEEE Transactions on Automatic Control,
Cited in the paper.
Meng, Q., & Shen, Y.,2015. Optimal control of mean-field jump-diffusion systems with delay: A stochastic maximum principle approach. Journal of computational and applied mathematics,
2015
Later among the works it cites.
Djehiche, B., & Tembine, H. (2016). Risk-Sensitive Mean-Field Type Control Under Partial Observation. In Stochastics of Environmental and Financial Economics (pp. 243-263)
2016
Closest in time.
Wang, G., Wu, Z., & Zhang, C. ,2016. A partially observed optimal control problem for mean-field type forward-backward stochastic system. In Control Conference (CCC), 2016 35th Chinese (pp. 1781-1786). TCCT
2016
Closest in time.
Ma, H., & Liu, B. , 2017. Linear Quadratic Optimal Control Problem for Partially Observed Forward Backward Stochastic Differential Equations of Mean-Field Type. Asian Journal of Control
2017
Closest in time.