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Estimating the robust domain of attraction with bounded uncertainties via markov models

Moghaddam, R.K. and Moghaddam, M.K. (2012) Estimating the robust domain of attraction with bounded uncertainties via markov models. In: World Congress on Engineering and Computer Science (WCECS) 2012, 24 - 26 October 2012, San Francisco, USA

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Abstract

In this work a new approach for estimating the robust domain of attraction of dynamical systems with bounded uncertainty is proposed. We analysis the stability of dynamical systems by Markov modeling which focuses on asymptotic behaviors of systems. The proposed method expresses the problem of estimating robust domain of attraction as an infinite dimensional linear problem. Using approximated Markov transition function, the resulting linear problem is converted to a finite dimensional optimization problem. The efficiency of proposed methods is shown via simulations

Item Type: Conference Paper
Murdoch Affiliation: School of Engineering Science
Conference Website: http://www.iaeng.org/LNECS/
URI: http://researchrepository.murdoch.edu.au/id/eprint/41554
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