A higher order method for input-affine uncertain systems

S.Z. Gonzalez*, L. Geretti, D. Bresolin, T. Villa, P. Collins

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review


Uncertainty is unavoidable in modeling dynamical systems and it may be represented mathematically by differential inclusions. In the past, we proposed an algorithm to compute validated solutions of differential inclusions; here we provide several theoretical improvements to the algorithm, including its extension to piecewise constant and sinusoidal approximations of uncertain inputs, updates on the affine approximation bounds and a generalized formula for the analytical error. The approach proposed is able to achieve higher order convergence with respect to the current state-of-the-art. We implemented the methodology in Ariadne, a library for the verification of continuous and hybrid systems. For evaluation purposes, we introduce ten systems from the literature, with varying degrees of nonlinearity, number of variables and uncertain inputs. The results are hereby compared with two state-of-the-art approaches to time-varying uncertainties in nonlinear systems.

Original languageEnglish
Article number101266
Number of pages19
JournalNonlinear Analysis-Hybrid Systems
Publication statusPublished - 1 Feb 2023


  • Differential inclusions
  • Nonlinear systems
  • Rigorous numerics

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