Improved stability criteria for piecewise affine systems based on partition- and vertex-dependent Lyapunov functions

In this paper, we present two improved stability criteria for a class of piecewise affine systems. First, by applying a partition-dependent Lyapunov function, we present a stability result based on copositive matrices which can be solved by the linear matrix inequality (LMI) technique. Second, to fu...

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Main Authors: Xu, Jun, Xie, Lihua
Other Authors: School of Electrical and Electronic Engineering
Format: Conference or Workshop Item
Language:English
Published: 2013
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Online Access:https://hdl.handle.net/10356/99023
http://hdl.handle.net/10220/12761
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-990232020-03-07T13:24:49Z Improved stability criteria for piecewise affine systems based on partition- and vertex-dependent Lyapunov functions Xu, Jun Xie, Lihua School of Electrical and Electronic Engineering IEEE Conference on Industrial Electronics and Applications (7th : 2012 : Singapore) DRNTU::Engineering::Electrical and electronic engineering In this paper, we present two improved stability criteria for a class of piecewise affine systems. First, by applying a partition-dependent Lyapunov function, we present a stability result based on copositive matrices which can be solved by the linear matrix inequality (LMI) technique. Second, to further reduce the conservatism of stability analysis, we construct a vertex-dependent Lyapunov function for each partition and show how to use Sum-of-Square (SOS) technique and Pólya's Lemma to calculate the corresponding Lyapunov matrices and hence assert the system stability. 2013-08-01T04:00:07Z 2019-12-06T20:02:24Z 2013-08-01T04:00:07Z 2019-12-06T20:02:24Z 2012 2012 Conference Paper Xu, J.,& Xie, L. (2012). Improved stability criteria for piecewise affine systems based on partition- and vertex-dependent Lyapunov functions. 2012 7th IEEE Conference on Industrial Electronics and Applications (ICIEA),1183-1188. https://hdl.handle.net/10356/99023 http://hdl.handle.net/10220/12761 10.1109/ICIEA.2012.6360903 en
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic DRNTU::Engineering::Electrical and electronic engineering
spellingShingle DRNTU::Engineering::Electrical and electronic engineering
Xu, Jun
Xie, Lihua
Improved stability criteria for piecewise affine systems based on partition- and vertex-dependent Lyapunov functions
description In this paper, we present two improved stability criteria for a class of piecewise affine systems. First, by applying a partition-dependent Lyapunov function, we present a stability result based on copositive matrices which can be solved by the linear matrix inequality (LMI) technique. Second, to further reduce the conservatism of stability analysis, we construct a vertex-dependent Lyapunov function for each partition and show how to use Sum-of-Square (SOS) technique and Pólya's Lemma to calculate the corresponding Lyapunov matrices and hence assert the system stability.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Xu, Jun
Xie, Lihua
format Conference or Workshop Item
author Xu, Jun
Xie, Lihua
author_sort Xu, Jun
title Improved stability criteria for piecewise affine systems based on partition- and vertex-dependent Lyapunov functions
title_short Improved stability criteria for piecewise affine systems based on partition- and vertex-dependent Lyapunov functions
title_full Improved stability criteria for piecewise affine systems based on partition- and vertex-dependent Lyapunov functions
title_fullStr Improved stability criteria for piecewise affine systems based on partition- and vertex-dependent Lyapunov functions
title_full_unstemmed Improved stability criteria for piecewise affine systems based on partition- and vertex-dependent Lyapunov functions
title_sort improved stability criteria for piecewise affine systems based on partition- and vertex-dependent lyapunov functions
publishDate 2013
url https://hdl.handle.net/10356/99023
http://hdl.handle.net/10220/12761
_version_ 1681046959977136128