نتایج جستجو برای: infinite horizon optimization

تعداد نتایج: 403311  

Journal: :An International Journal of Optimization and Control: Theories & Applications (IJOCTA) 2017

Journal: :Siam Journal on Control and Optimization 2021

Related DatabasesWeb of Science You must be logged in with an active subscription to view this.Article DataHistorySubmitted: 24 August 2020Accepted: 28 January 2021Published online: 08 April 2021Keywordslinear quadratic problem, overtaking optimal control, controllabilityAMS Subject Headings49J15, 49N10, 93B05Publication DataISSN (print): 0363-0129ISSN (online): 1095-7138Publisher: Society for ...

2008
Lauren Hannah Warren Powell

This article extends the evolutionary policy selection algorithm of Chang et al. (2005, 2007), which was designed for use in infinite horizon Markov decision processes (MDPs) with a large action space to a discrete stochastic optimization problem, in an algorithm called Evolutionary Policy Iteration-Monte Carlo (EPI-MC). EPI-MC allows EPI to be used in a setting with a finite decision (action) ...

2010
Jun Ma Warren B. Powell

We propose an online, on-policy least-squares policy iteration (LSPI) algorithm which can be applied to infinite horizon problems with where states and controls are vector-valued and continuous. We do not use special structure such as linear, additive noise, and we assume that the expectation cannot be computed exactly. We use the concept of the post-decision state variable to eliminate the exp...

2006
AKIHIKO INOUE

We consider a financial market model driven by an Rn-valued Gaussian process with stationary increments which is different from Brownian motion. This driving noise process consists of n independent components, and each component has memory described by two parameters. For this market model, we explicitly solve optimal investment problems. These include (i) Merton’s portfolio optimization proble...

2007
Nuno C Martins

In This paper we investigate the design of controllers, for discrete-time Markovian jump linear systems, that achieve optimal reference tracking in the presence of preview. In particular, given a reference sequence, we obtain the optimal control law for the fully observed case, while the output feedback case is also briefly discussed. We provide the optimal control law for the infinite and fini...

Journal: :Math. Meth. of OR 2005
Shaler Stidham

We provide weak sufficient conditions for a full-service policy to be optimal in a queueing control problem in which the service rate is a dynamic decision variable. In our model there are service costs and holding costs and the objective is to minimize the expected total discounted cost over an infinite horizon. We begin with a semi-Markov decision model for a single-server queue with exponent...

Journal: :Math. Program. 2010
Andrzej Ruszczynski

We introduce the concept of a Markov risk measure and we use it to formulate risk-averse control problems for two Markov decision models: a finite horizon model and a discounted infinite horizon model. For both models we derive risk-averse dynamic programming equations and a value iteration method. For the infinite horizon problem we also develop a risk-averse policy iteration method and we pro...

2015
David Gale

The paper analyzes one-sector models of general equilibrium over an infinite time horizon in which there are an infinite number of agents, these being the members of successive generations. It is argued that such models are more realistic than the customary equilibrium models with finitely many agents. Three aspects of these models are then examined including: (1) non-optimalities in the form o...

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