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Approximate infinite-horizon optimal control for stochastic systems

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Title: Approximate infinite-horizon optimal control for stochastic systems
Authors: Scarciotti, G
Mylvaganam, T
Item Type: Conference Paper
Abstract: The policy of an optimal control problem for nonlinear stochastic systems can be characterized by a second- order partial differential equation for which solutions are not readily available. In this paper we provide a systematic method for obtaining approximate solutions for the infinite-horizon optimal control problem in the stochastic framework. The method is demonstrated on an illustrative numerical example in which the control effort is not weighted, showing that the technique is able to deal with one of the most striking features of stochastic optimal control.
Issue Date: 21-Jan-2019
Date of Acceptance: 13-Jul-2018
URI: http://hdl.handle.net/10044/1/62583
DOI: 10.1109/CDC.2018.8619055
Publisher: IEEE
Copyright Statement: © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Conference Name: 57th IEEE Conference on Decision and Control (CDC)
Keywords: Science & Technology
Technology
Automation & Control Systems
Engineering, Electrical & Electronic
Engineering
TIME
Publication Status: Published
Start Date: 2018-12-17
Finish Date: 2018-12-19
Conference Place: Fontainebleau, Miami Beach, FL, USA
Online Publication Date: 2019-01-21
Appears in Collections:Electrical and Electronic Engineering
Aeronautics
Faculty of Engineering