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搜索结果: 1-14 共查到stochastic control相关记录14条 . 查询时间(0.235 秒)
We develop computational bounds on performance for causal state feedback stochastic control with linear dynamics, arbitrary noise distribution, and arbitrary input constraint set. This can be very use...
In this note we describe a version of the Q-design method that can be used to design nonlinear dynamic controllers for a discrete-time linear time-varying plant, with convex cost and constraint functi...
In a recent paper, the authors showed how to compute performance bounds for infinite horizon stochastic control problems with linear system dynamics and arbitrary constraints, objective, and noise dis...
In this note we describe a version of the Q-design method that can be used to design nonlinear dynamic controllers for a discrete-time linear time-varying plant, with convex cost and constraint functi...
In a recent paper, the authors showed how to compute performance bounds for infinite horizon stochastic control problems with linear system dynamics and arbitrary constraints, objective, and noise dis...
In this paper we consider Markov decision processes with average cost criteria, and discuss an approach for characterizing the performance loss associated with using a suboptimal control policy. Becau...
Spatial interference avoidance is a simple and effective way of mitigating interference in multi-antenna wireless networks.
Solution of the inhomogeneous Burgers equation with given homogeneous Initial/Dirichlet boundary conditions are identified by a stochastic control problem. Our approach consists of identifying the sol...
This paper studies the optimization of observation channels (stochastic kernels)in partially observed stochastic control problems. In particular, existence, continuity, and convexity properties are i...
The control process that minimizes the quadratic performance functional associated with a quantum system whose evolution is described by a Hudson-Parthasarathy type stochastic differential equation...
This paper deals with the mean-square exponential input-to-state stability (exp-ISS) of Euler-Maruyama (EM) method to stochastic control systems (SCSs). The aim is to find out the conditions of the e...
This paper is a survey on some recent aspects and developments in stochastic control. We discuss the two main historical approaches, Bellman's optimality principle and Pontryagin's maximum principle, ...
This paper considers the Merton portfolio management problem. We are concerned with non-exponential discounting of time and this leads to time inconsistencies of the decision maker. Following Ekeland...

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