2020
DOI: 10.48550/arxiv.2006.09884
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Computer-assisted proofs for Lyapunov stability via Sums of Squares certificates and Constructive Analysis

Abstract: We provide a computer-assisted approach to ensure that a given continuous or discrete-time polynomial system is (asymptotically) stable. Our framework relies on constructive analysis together with formally certified sums of squares Lyapunov functions. The crucial steps are formalized within of the proof assistant Minlog. We illustrate our approach with various examples issued from the control system literature.

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Cited by 1 publication
(2 citation statements)
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“…The authors rely on the framework of the so-called Lyapunov invariants and employ the convex optimization for their construction. Recently, Devadze et al used computerassisted proofs and program extraction techniques for the formalization of initial value problem for ODE and sum-ofsquares certificates for stability of polynomial systems [8], [9]. An alternative direction of algorithmic verification is FLUCTUAT, which allows to propagate the errors of function on variables with an uncertainty margin using statistical analysis.…”
Section: Related Workmentioning
confidence: 99%
See 1 more Smart Citation
“…The authors rely on the framework of the so-called Lyapunov invariants and employ the convex optimization for their construction. Recently, Devadze et al used computerassisted proofs and program extraction techniques for the formalization of initial value problem for ODE and sum-ofsquares certificates for stability of polynomial systems [8], [9]. An alternative direction of algorithmic verification is FLUCTUAT, which allows to propagate the errors of function on variables with an uncertainty margin using statistical analysis.…”
Section: Related Workmentioning
confidence: 99%
“…−10s 2 −10.3s−5 and a multiplicative uncertainty that can be compensated with the weighting function W 2 (s) = −3. To obtain a robust controller with respect to these uncertainties, we use the H ∞ synthesis [11] that results in the following transfer function: 9 .…”
Section: B Examplementioning
confidence: 99%