| Optimal neurocontroller synthesis for impulse-driven systems. | |
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MedLine Citation:
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PMID: 19766445 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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This paper presents a new controller design technique for systems driven with impulse inputs. Necessary conditions for optimal impulse control are derived. A neural network structure to solve the resulting equations for optimal control is presented. Solution concepts are illustrated with example problems that exhibit increasing levels of difficulty. Two linear problems, one scalar and one vector and a benchmark nonlinear problem, the Van Der Pol oscillator, are used as case studies. Numerical results show the efficacy of the new solution process for impulse driven systems. Since the theoretical development and the design technique are free from restrictive assumptions, this technique is applicable to many problems in engineering and science. |
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Authors:
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Xiaohua Wang; S N Balakrishnan |
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Publication Detail:
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Type: Journal Article; Research Support, U.S. Gov't, Non-P.H.S. Date: 2009-09-06 |
Journal Detail:
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Title: Neural networks : the official journal of the International Neural Network Society Volume: 23 ISSN: 1879-2782 ISO Abbreviation: Neural Netw Publication Date: 2010 Jan |
Date Detail:
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Created Date: 2009-12-01 Completed Date: 2010-02-18 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 8805018 Medline TA: Neural Netw Country: United States |
Other Details:
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Languages: eng Pagination: 125-34 Citation Subset: IM |
Affiliation:
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Department of Mechanical and Aerospace Engineering, Missouri University of Science and Technology, Rolla, MO 65401, USA. xiaohuawang2009@gmail.com |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Algorithms Computer Simulation* Feedback Humans Models, Neurological Neural Networks (Computer)* Neurons / physiology* Nonlinear Dynamics Systems Theory* |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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