A Backward Doubly Stochastic Differential Equation Approach for Nonlinear Filtering Problems

Author(s):  
Feng Bao ◽  
Yanzhao Cao ◽  
Weidong Zhao
2020 ◽  
Vol 28 (1) ◽  
pp. 1-18
Author(s):  
Dahbia Hafayed ◽  
Adel Chala

AbstractIn this paper, we are concerned with an optimal control problem where the system is driven by a backward doubly stochastic differential equation with risk-sensitive performance functional. We generalized the result of Chala [A. Chala, Pontryagin’s risk-sensitive stochastic maximum principle for backward stochastic differential equations with application, Bull. Braz. Math. Soc. (N. S.) 48 2017, 3, 399–411] to a backward doubly stochastic differential equation by using the same contribution of Djehiche, Tembine and Tempone in [B. Djehiche, H. Tembine and R. Tempone, A stochastic maximum principle for risk-sensitive mean-field type control, IEEE Trans. Automat. Control 60 2015, 10, 2640–2649]. We use the risk-neutral model for which an optimal solution exists as a preliminary step. This is an extension of an initial control system in this type of problem, where an admissible controls set is convex. We establish necessary as well as sufficient optimality conditions for the risk-sensitive performance functional control problem. We illustrate the paper by giving two different examples for a linear quadratic system, and a numerical application as second example.


2011 ◽  
Vol 11 (04) ◽  
pp. 691-713 ◽  
Author(s):  
QI ZHANG

In this paper, we construct the pathwise stationary stochastic viscosity solution of a parabolic type SPDE by backward doubly stochastic differential equation (BDSDE) on infinite horizon. For this, we study the existence, uniqueness and regularity of solutions of infinite horizon BDSDEs and their pathwise stationary property. Then by the correspondence between stochastic viscosity solutions of SPDEs and real-valued solutions of BDSDEs on infinite horizon, the stationary property is transferred from BDSDEs to SPDEs.


2017 ◽  
Vol 64 (3) ◽  
Author(s):  
Prajneshu Gupta ◽  
Himadri Ghosh ◽  
N. N. Pandey

In this paper, the well-known von Bertalanffy growth (VBG) model for estimating age-length relationship in fisheries is considered. It is emphasised that nonlinear estimation procedures should be adopted for fitting the von Bertalanffy nonlinear statistical (VBNS) model rather than the age-old Ford-Walford plot. Some limitations of employing VBNS modelling approach are highlighted. Employment of stochastic differential equation (SDE) approach, which does not suffer from these limitations, is advocated for fitting the VBG model. The methodology for fitting the von Bertalanffy SDE (VBSDE) model is described. Relevant computer code for fitting this model is written in SAS package and the same is included as an Appendix. Finally, as an illustration, superiority of VBSDE model over VBNS model for fitting and forecasting purposes is shown for rainbow trout (Onchorhynchus mykiss) age-length data.


2020 ◽  
Vol 18 (8) ◽  
pp. 2341-2359
Author(s):  
Yaohua Zang ◽  
Gang Bao ◽  
Xiaojing Ye ◽  
Hongyuan Zha ◽  
Haomin Zhou

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