Design of Explicit Fuzzy Prediction Controller for Constrained Nonlinear Systems

This paper presents an explicit fuzzy predictive control method for a class of nonlinear systems with constrained inputs. The main idea is to construct a terminal invariant set and explicit predictive controller with affine input on the basis of T-S fuzzy model. This method need not compute the comp...

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Main Authors: Yan Yan, Baili Su
Format: Article
Language:English
Published: Hindawi Limited 2015-01-01
Series:Mathematical Problems in Engineering
Online Access:http://dx.doi.org/10.1155/2015/857546
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spelling doaj-f5b34a69171d4b68bcfcae4ace98dd962020-11-25T00:46:40ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472015-01-01201510.1155/2015/857546857546Design of Explicit Fuzzy Prediction Controller for Constrained Nonlinear SystemsYan Yan0Baili Su1School of Electrical Information and Automation, Qufu Normal University, Rizhao, Shandong 276826, ChinaSchool of Electrical Information and Automation, Qufu Normal University, Rizhao, Shandong 276826, ChinaThis paper presents an explicit fuzzy predictive control method for a class of nonlinear systems with constrained inputs. The main idea is to construct a terminal invariant set and explicit predictive controller with affine input on the basis of T-S fuzzy model. This method need not compute the complex nonconvex nonlinear programming problem of earlier nonlinear predictive control methods and decreases the number of optimization variables and guarantees stability of the closed-loop system. The simulation results on a numerical example show the validity of the method presented in this paper.http://dx.doi.org/10.1155/2015/857546
collection DOAJ
language English
format Article
sources DOAJ
author Yan Yan
Baili Su
spellingShingle Yan Yan
Baili Su
Design of Explicit Fuzzy Prediction Controller for Constrained Nonlinear Systems
Mathematical Problems in Engineering
author_facet Yan Yan
Baili Su
author_sort Yan Yan
title Design of Explicit Fuzzy Prediction Controller for Constrained Nonlinear Systems
title_short Design of Explicit Fuzzy Prediction Controller for Constrained Nonlinear Systems
title_full Design of Explicit Fuzzy Prediction Controller for Constrained Nonlinear Systems
title_fullStr Design of Explicit Fuzzy Prediction Controller for Constrained Nonlinear Systems
title_full_unstemmed Design of Explicit Fuzzy Prediction Controller for Constrained Nonlinear Systems
title_sort design of explicit fuzzy prediction controller for constrained nonlinear systems
publisher Hindawi Limited
series Mathematical Problems in Engineering
issn 1024-123X
1563-5147
publishDate 2015-01-01
description This paper presents an explicit fuzzy predictive control method for a class of nonlinear systems with constrained inputs. The main idea is to construct a terminal invariant set and explicit predictive controller with affine input on the basis of T-S fuzzy model. This method need not compute the complex nonconvex nonlinear programming problem of earlier nonlinear predictive control methods and decreases the number of optimization variables and guarantees stability of the closed-loop system. The simulation results on a numerical example show the validity of the method presented in this paper.
url http://dx.doi.org/10.1155/2015/857546
work_keys_str_mv AT yanyan designofexplicitfuzzypredictioncontrollerforconstrainednonlinearsystems
AT bailisu designofexplicitfuzzypredictioncontrollerforconstrainednonlinearsystems
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