Adaptive robust simultaneous stabilization controller with tuning parameters design for two dissipative Hamiltonian systems
This paper investigates the problem of adaptive robust simultaneous stabilization (ARSS) of two dissipative Hamiltonian systems (DHSs), and proposes a number of results on the controller parameterization design. Firstly, an adaptive H∞ control design approach is presented by using the dissipative Ha...
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Polish Academy of Sciences
2017-12-01
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doaj-c662edac2efe4738b8297af69d64535d2020-11-25T03:23:48ZengPolish Academy of SciencesArchives of Control Sciences2300-26112017-12-0127450552510.1515/acsc-2017-0030acsc-2017-0030Adaptive robust simultaneous stabilization controller with tuning parameters design for two dissipative Hamiltonian systemsCao Zhong0Hou Xiaorong1Zhao Wenjing2School of Physics and Electronic Engineering, Guangzhou University, Guangzhou 510006, China and also with Guangdong Provincial Engineering and Technology Research Center for Mathematical Education Software, Guangzhou, 510006, ChinaSchool of Energy Science and Engineering, University of Electronic Science and Technology of China611731, Chengdu, ChinaLab Center, Guangzhou University, Guangzhou510006, ChinaThis paper investigates the problem of adaptive robust simultaneous stabilization (ARSS) of two dissipative Hamiltonian systems (DHSs), and proposes a number of results on the controller parameterization design. Firstly, an adaptive H∞ control design approach is presented by using the dissipative Hamiltonian structural for the case that there are both external disturbances and parametric uncertainties in two DHSs. Secondly, an algorithm for solving tuning parameters of the controller is proposed using symbolic computation. The proposed controller parameterization method avoids solving Hamilton-Jacobi-Issacs (HJI) equations and the obtained controller is easier as compared to some existing ones. Finally, an illustrative example is presented to show that the ARSS controller obtained in this paper works very well.http://www.degruyter.com/view/j/acsc.2017.27.issue-4/acsc-2017-0030/acsc-2017-0030.xml?format=INTARSS controlDHSssymbolic computationcontroller parameterizationtuning parameters |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Cao Zhong Hou Xiaorong Zhao Wenjing |
spellingShingle |
Cao Zhong Hou Xiaorong Zhao Wenjing Adaptive robust simultaneous stabilization controller with tuning parameters design for two dissipative Hamiltonian systems Archives of Control Sciences ARSS control DHSs symbolic computation controller parameterization tuning parameters |
author_facet |
Cao Zhong Hou Xiaorong Zhao Wenjing |
author_sort |
Cao Zhong |
title |
Adaptive robust simultaneous stabilization controller with tuning parameters design for two dissipative Hamiltonian systems |
title_short |
Adaptive robust simultaneous stabilization controller with tuning parameters design for two dissipative Hamiltonian systems |
title_full |
Adaptive robust simultaneous stabilization controller with tuning parameters design for two dissipative Hamiltonian systems |
title_fullStr |
Adaptive robust simultaneous stabilization controller with tuning parameters design for two dissipative Hamiltonian systems |
title_full_unstemmed |
Adaptive robust simultaneous stabilization controller with tuning parameters design for two dissipative Hamiltonian systems |
title_sort |
adaptive robust simultaneous stabilization controller with tuning parameters design for two dissipative hamiltonian systems |
publisher |
Polish Academy of Sciences |
series |
Archives of Control Sciences |
issn |
2300-2611 |
publishDate |
2017-12-01 |
description |
This paper investigates the problem of adaptive robust simultaneous stabilization (ARSS) of two dissipative Hamiltonian systems (DHSs), and proposes a number of results on the controller parameterization design. Firstly, an adaptive H∞ control design approach is presented by using the dissipative Hamiltonian structural for the case that there are both external disturbances and parametric uncertainties in two DHSs. Secondly, an algorithm for solving tuning parameters of the controller is proposed using symbolic computation. The proposed controller parameterization method avoids solving Hamilton-Jacobi-Issacs (HJI) equations and the obtained controller is easier as compared to some existing ones. Finally, an illustrative example is presented to show that the ARSS controller obtained in this paper works very well. |
topic |
ARSS control DHSs symbolic computation controller parameterization tuning parameters |
url |
http://www.degruyter.com/view/j/acsc.2017.27.issue-4/acsc-2017-0030/acsc-2017-0030.xml?format=INT |
work_keys_str_mv |
AT caozhong adaptiverobustsimultaneousstabilizationcontrollerwithtuningparametersdesignfortwodissipativehamiltoniansystems AT houxiaorong adaptiverobustsimultaneousstabilizationcontrollerwithtuningparametersdesignfortwodissipativehamiltoniansystems AT zhaowenjing adaptiverobustsimultaneousstabilizationcontrollerwithtuningparametersdesignfortwodissipativehamiltoniansystems |
_version_ |
1724604475235106816 |