Advances in computational Lyapunov analysis using sum-of-squares programming | Zendy

James Anderson | Zendy; Antonis Papachristodoulou | Zendy

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Advances in computational Lyapunov analysis using sum-of-squares programming

Author(s) -

James Anderson,

Antonis Papachristodoulou

Publication year - 2015

Publication title -

discrete and continuous dynamical systems - b

Language(s) - Uncategorized

Resource type - Journals

SCImago Journal Rank - 0.864

H-Index - 53

eISSN - 1553-524X

pISSN - 1531-3492

DOI - 10.3934/dcdsb.2015.20.2361

Subject(s) - lyapunov function , lyapunov optimization , explained sum of squares , lyapunov redesign , semidefinite programming , lyapunov equation , mathematics , lyapunov exponent , convex optimization , control lyapunov function , polynomial , nonlinear system , dynamical systems theory , stability (learning theory) , mathematical optimization , lyapunov stability , equilibrium point , least squares function approximation , regular polygon , computer science , mathematical analysis , differential equation , statistics , physics , geometry , quantum mechanics , machine learning , estimator

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