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Adaptive robust simultaneous stabilization controller with tuning parameters design for two dissipative Hamiltonian systems

Adaptive robust simultaneous stabilization controller with tuning parameters design for two... AbstractThis 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.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Archives of Control Sciences de Gruyter

Adaptive robust simultaneous stabilization controller with tuning parameters design for two dissipative Hamiltonian systems

Archives of Control Sciences , Volume 27 (4): 21 – Dec 1, 2017

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References (47)

Publisher
de Gruyter
Copyright
© 2017 Zhong Cao et al., published by De Gruyter Open
ISSN
2300-2611
eISSN
2300-2611
DOI
10.1515/acsc-2017-0030
Publisher site
See Article on Publisher Site

Abstract

AbstractThis 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.

Journal

Archives of Control Sciencesde Gruyter

Published: Dec 1, 2017

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