Optimal feedback control for dynamic systems with state constraints: An exact penalty approach

In this paper, we consider a class of nonlinear dynamic systems with terminal state and continuous inequality constraints. Our aim is to design an optimal feedback controller that minimizes total system cost and ensures satisfaction of all constraints. We first formulate this problem as a semi-infin...

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Main Authors: Lin, Qun, Loxton, Ryan, Teo, Kok Lay, Wu, Yong Hong
Format: Journal Article
Published: Springer Verlag 2014
Subjects:
Online Access:http://hdl.handle.net/20.500.11937/24654
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author Lin, Qun
Loxton, Ryan
Teo, Kok Lay
Wu, Yong Hong
author_facet Lin, Qun
Loxton, Ryan
Teo, Kok Lay
Wu, Yong Hong
author_sort Lin, Qun
building Curtin Institutional Repository
collection Online Access
description In this paper, we consider a class of nonlinear dynamic systems with terminal state and continuous inequality constraints. Our aim is to design an optimal feedback controller that minimizes total system cost and ensures satisfaction of all constraints. We first formulate this problem as a semi-infinite optimization problem. We then show that by using a new exact penalty approach, this semi-infinite optimization problem can be converted into a sequence of nonlinear programming problems, each of which can be solved using standard gradient-based optimization methods.We conclude the paper by discussing applications of our work to glider control.
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format Journal Article
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institution Curtin University Malaysia
institution_category Local University
last_indexed 2025-11-14T07:53:34Z
publishDate 2014
publisher Springer Verlag
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spelling curtin-20.500.11937-246542019-02-19T05:35:23Z Optimal feedback control for dynamic systems with state constraints: An exact penalty approach Lin, Qun Loxton, Ryan Teo, Kok Lay Wu, Yong Hong Nonlinear constraints Semi-infinite optimization Exact penalty function State feedback Optimal control In this paper, we consider a class of nonlinear dynamic systems with terminal state and continuous inequality constraints. Our aim is to design an optimal feedback controller that minimizes total system cost and ensures satisfaction of all constraints. We first formulate this problem as a semi-infinite optimization problem. We then show that by using a new exact penalty approach, this semi-infinite optimization problem can be converted into a sequence of nonlinear programming problems, each of which can be solved using standard gradient-based optimization methods.We conclude the paper by discussing applications of our work to glider control. 2014 Journal Article http://hdl.handle.net/20.500.11937/24654 10.1007/s11590-013-0657-y Springer Verlag fulltext
spellingShingle Nonlinear constraints
Semi-infinite optimization
Exact penalty function
State feedback
Optimal control
Lin, Qun
Loxton, Ryan
Teo, Kok Lay
Wu, Yong Hong
Optimal feedback control for dynamic systems with state constraints: An exact penalty approach
title Optimal feedback control for dynamic systems with state constraints: An exact penalty approach
title_full Optimal feedback control for dynamic systems with state constraints: An exact penalty approach
title_fullStr Optimal feedback control for dynamic systems with state constraints: An exact penalty approach
title_full_unstemmed Optimal feedback control for dynamic systems with state constraints: An exact penalty approach
title_short Optimal feedback control for dynamic systems with state constraints: An exact penalty approach
title_sort optimal feedback control for dynamic systems with state constraints: an exact penalty approach
topic Nonlinear constraints
Semi-infinite optimization
Exact penalty function
State feedback
Optimal control
url http://hdl.handle.net/20.500.11937/24654