Title
Closed-form estimates of the domain of attraction for nonlinear systems via fuzzy-polynomial models.
Abstract
In this paper, the domain of attraction of the origin of a nonlinear system is estimated in closed form via level sets with polynomial boundaries, iteratively computed. In particular, the domain of attraction is expanded from a previous estimate, such as a classical Lyapunov level set. With the use of fuzzy-polynomial models, the domain of attraction analysis can be carried out via sum of squares optimization and an iterative algorithm. The result is a function that bounds the domain of attraction, free from the usual restriction of being positive and decrescent in all the interior of its level sets.
Year
DOI
Venue
2014
10.1109/TCYB.2013.2258910
IEEE transactions on cybernetics
Keywords
Field
DocType
optimisation,fuzzy set theory,domain of attraction analysis,robust stability,classical lyapunov level set,local stability,nonlinear systems,polynomial boundaries,fuzzy-polynomial models,fuzzy polynomial systems,iterative algorithm,domain of attraction closed-form estimate,polynomials,iterative computation,iterative methods,domain of attraction,sum of squares optimization,lyapunov methods,sum of squares
Lyapunov function,Mathematical optimization,Nonlinear system,Polynomial,Iterative method,Mathematical analysis,Sum-of-squares optimization,Fuzzy set,Attraction,Explained sum of squares,Mathematics
Journal
Volume
Issue
ISSN
44
4
2168-2275
Citations 
PageRank 
References 
10
0.54
15
Authors
3
Name
Order
Citations
PageRank
J. L. Pitarch1365.92
A. Sala256233.44
Carlos Vicente Ariño3100.54