Underapproximating backward reachable sets by semialgebraic sets

Underapproximations (UAs) of backward reachable sets play an important role in controller synthesis and trajectory analysis for constrained nonlinear dynamical systems, but there are few methods available to compute them. Given a nonlinear system, a target region of simply connected compact type and...

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Main Authors: Xue, Bai, She, Zhikun, Easwaran, Arvind
Other Authors: School of Computer Science and Engineering
Format: Article
Language:English
Published: 2018
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Online Access:https://hdl.handle.net/10356/89488
http://hdl.handle.net/10220/44941
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-894882020-03-07T11:49:00Z Underapproximating backward reachable sets by semialgebraic sets Xue, Bai She, Zhikun Easwaran, Arvind School of Computer Science and Engineering Boundary Analysis Convex Programming Underapproximations (UAs) of backward reachable sets play an important role in controller synthesis and trajectory analysis for constrained nonlinear dynamical systems, but there are few methods available to compute them. Given a nonlinear system, a target region of simply connected compact type and a time duration, we present a method using boundary analysis to compute an UA of the backward reachable set. The UA is represented as a semialgebraic set, formed by what we term polynomial level - set functions. The polynomial level - set function is a semidefinite positive function with one real root, such that the interior and closure of a semialgebraic set formed by it are both simply connected and have the same boundary. The function can be computed by solving a convex program, which is constructed based on sum-of-squares decomposition and linear interval inequalities. We test our method on several examples and compare them with existing methods. The results show that our method can obtain better estimations more efficiently in terms of time for these special examples. Accepted version 2018-06-04T03:29:06Z 2019-12-06T17:26:49Z 2018-06-04T03:29:06Z 2019-12-06T17:26:49Z 2017 Journal Article Xue, B., She, Z., & Easwaran, A. (2017). Underapproximating backward reachable sets by semialgebraic sets. IEEE Transactions on Automatic Control, 62(10), 5185-5197. 0018-9286 https://hdl.handle.net/10356/89488 http://hdl.handle.net/10220/44941 10.1109/TAC.2017.2694351 en IEEE Transactions on Automatic Control © 2017 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. The published version is available at: [http://dx.doi.org/10.1109/TAC.2017.2694351]. 14 p. application/pdf
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic Boundary Analysis
Convex Programming
spellingShingle Boundary Analysis
Convex Programming
Xue, Bai
She, Zhikun
Easwaran, Arvind
Underapproximating backward reachable sets by semialgebraic sets
description Underapproximations (UAs) of backward reachable sets play an important role in controller synthesis and trajectory analysis for constrained nonlinear dynamical systems, but there are few methods available to compute them. Given a nonlinear system, a target region of simply connected compact type and a time duration, we present a method using boundary analysis to compute an UA of the backward reachable set. The UA is represented as a semialgebraic set, formed by what we term polynomial level - set functions. The polynomial level - set function is a semidefinite positive function with one real root, such that the interior and closure of a semialgebraic set formed by it are both simply connected and have the same boundary. The function can be computed by solving a convex program, which is constructed based on sum-of-squares decomposition and linear interval inequalities. We test our method on several examples and compare them with existing methods. The results show that our method can obtain better estimations more efficiently in terms of time for these special examples.
author2 School of Computer Science and Engineering
author_facet School of Computer Science and Engineering
Xue, Bai
She, Zhikun
Easwaran, Arvind
format Article
author Xue, Bai
She, Zhikun
Easwaran, Arvind
author_sort Xue, Bai
title Underapproximating backward reachable sets by semialgebraic sets
title_short Underapproximating backward reachable sets by semialgebraic sets
title_full Underapproximating backward reachable sets by semialgebraic sets
title_fullStr Underapproximating backward reachable sets by semialgebraic sets
title_full_unstemmed Underapproximating backward reachable sets by semialgebraic sets
title_sort underapproximating backward reachable sets by semialgebraic sets
publishDate 2018
url https://hdl.handle.net/10356/89488
http://hdl.handle.net/10220/44941
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