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We considers the adaptive stabilization problem for a basic class of linear-quadratic non-cooperative stochastic differential games when the systems matrices are unknown to the regulator and the playe...
Communication compression is an essential strategy for alleviating communication overhead by reducing the volume of information exchanged between computing nodes in large-scale distributed stochastic ...
Similar to the role of Markov decision processes in reinforcement learning, Markov games (also known as stochastic games) form the basis for the study of multi-agent reinforcement learning and sequenc...
In this talk we review some recent results on the multi-bubble blow-ups and multi-solitons to the focusing stochastic nonlinear Schr鰀inger equations. We will show the corresponding construction and co...
In this talk we review some recent results on the multi-bubble blow-ups and multi-solitons to the focusing stochastic nonlinear Schr鰀inger equations. We will show the corresponding construction and co...
I will discuss the ergodicity of two kinds of non-stationary processes: random periodic processes and random quasi-periodic processes. I will describe periodic measures, quasi-periodic measures and th...
Nonconvex constrained optimization (NCO) has been one of the important research fields in optimization community. It has widely appeared in many application fields. However, challenges for solving NCO...
In this talk, we present the pointwise convergence of one-point large deviations rate functions (LDRFs) of the spatial finite difference method and further the fully discrete method based on the tempo...
Stochastic wave equations describe wave motion in random environments that is common in realistic situations. In this talk, I will present our recent studies on the inverse source and potential proble...
This talk considers the distributed sparse identification problem over wireless sensor networks such that all sensors cooperatively estimate the unknown sparse parameter vector of stochastic dynamic s...
This talk is concerned with the controllability, observability and inverse problems for two types of stochastic partial differential equations, which are degenerate/singular stochastic parabolic equat...
In this talk I will talk about our recent work on the three dimensional stochastic Navier-Stokes equations via convex integration method. First we establish non-uniqueness in law, existence and non-un...
In this talk, we will introduce a novel overlapping domain decomposition splitting algorithm based on a Crank--Nisolson method is developed for the stochastic NLS equation driven by a multiplicative n...
作为一项极其复杂的系统工程,飞行器的研制总会受到制造误差、飞行状态等诸多不确定性因素的影响,如果这些不确定性因素在设计过程中被忽视,很可能会导致飞行器整体性能急剧变差,甚至造成致命性的灾难。因此,近年来飞行器的不确定性研究方法和手段在航空航天领域得到了广泛应用,NASA早在2002年就开始着手规划考虑不确定性因素影响的研究工作,AIAAASME每年都举办关于不确定性研究的专题研讨会。当前我国各型...
作为一项极其复杂的系统工程,飞行器的研制总会受到制造误差、飞行状态等诸多不确定性因素的影响,如果这些不确定性因素在设计过程中被忽视,很可能会导致飞行器整体性能急剧变差,甚至造成致命性的灾难。因此,近年来飞行器的不确定性研究方法和手段在航空航天领域得到了广泛应用,NASA早在2002年就开始着手规划考虑不确定性因素影响的研究工作,AIAAASME每年都举办关于不确定性研究的专题研讨会。当前我国各型...

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