Combination of Refinement and Verification for the Construction of Lyapunov Functions using Radial Basis Functions

Peter Giesl, Najla Mohammed

Abstract

Lyapunov functions are an important tool for the determination of the domain of attraction of an equilibrium point of a given ordinary differential equation. The Radial Basis Functions collocation method is one of the numerical methods to construct Lyapunov functions. This method has been improved by combining it with a refinement algorithm to reduce the number of collocation points required in the construction process, as well as a verification that the constructed function is a Lyapunov function. In this paper, we propose a combination of both methods in one, called the combination method. This method constructs a Lyapunov function with the refinement algorithm and then verifies its properties rigorously. The method is illustrated with examples.

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Paper Citation


in Harvard Style

Giesl P. and Mohammed N. (2018). Combination of Refinement and Verification for the Construction of Lyapunov Functions using Radial Basis Functions.In Proceedings of the 15th International Conference on Informatics in Control, Automation and Robotics - Volume 1: CTDE, ISBN 978-989-758-321-6, pages 569-578. DOI: 10.5220/0006944405690578


in Bibtex Style

@conference{ctde18,
author={Peter Giesl and Najla Mohammed},
title={Combination of Refinement and Verification for the Construction of Lyapunov Functions using Radial Basis Functions},
booktitle={Proceedings of the 15th International Conference on Informatics in Control, Automation and Robotics - Volume 1: CTDE,},
year={2018},
pages={569-578},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006944405690578},
isbn={978-989-758-321-6},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Conference on Informatics in Control, Automation and Robotics - Volume 1: CTDE,
TI - Combination of Refinement and Verification for the Construction of Lyapunov Functions using Radial Basis Functions
SN - 978-989-758-321-6
AU - Giesl P.
AU - Mohammed N.
PY - 2018
SP - 569
EP - 578
DO - 10.5220/0006944405690578