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Sequential sum-of-squares programming for analysis of nonlinear systems

, and . 2023 American Control Conference, San Diego, CA, (2023)
DOI: 10.23919/ACC55779.2023.10156153

Abstract

Numerous interesting properties in nonlinear systems analysis can be written as polynomial optimization problems with nonconvex sum-of-squares problems. To solve those problems efficiently, we propose a sequential approach of local linearizations leading to tractable, convex sum-of-squares problems. Local convergence is proven under the assumption of strong regularity and the new approach is applied to estimate the region of attraction of a polynomial aircraft model.

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