computeSOSFunnels: A MATLAB Framework for Invariant Funnel Synthesis using Sum-of-Squares Optimization

computeSOSFunnels v1.0.0 This release introduces a MATLAB framework for computing invariant funnels around nominal trajectories for nonlinear dynamical systems. The pipeline integrates trajectory optimization, feedback control, and Sum-of-Squares (SOS) programming to generate rigorous Lyapunov certificates of stability. Key Capabilities: Invariant Funnels: Guarantees that a system remains within a bounded region despite initial state deviations. Modular Pipeline: Seamlessly connects trajectory optimization, feedback control design via time-varying LQR, and SOS verification. Optimization Stack: Built on YALMIP and SOSTOOLS (requires IPOPT, and MOSEK or SeDuMi solvers). Full Documentation: See the attached computeSOSFunnels_Tutorial.pdf inside the ZIP file for a complete technical report and user guide.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-12-24
DOI
https://doi.org/10.5281/zenodo.18047553
Primary Topic
Formal Methods in Verification
Type
article
Field-Weighted Citation Impact
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article

computeSOSFunnels: A MATLAB Framework for Invariant Funnel Synthesis using Sum-of-Squares Optimization

Mohamed Khalid M Jaffar
Zenodo (CERN European Organization for Nuclear Research)
Formal Methods in Verification
article

computeSOSFunnels: A MATLAB Framework for Invariant Funnel Synthesis using Sum-of-Squares Optimization

Mohamed Khalid M Jaffar
article en

Abstract

computeSOSFunnels v1.0.0 This release introduces a MATLAB framework for computing invariant funnels around nominal trajectories for nonlinear dynamical systems. The pipeline integrates trajectory optimization, feedback control, and Sum-of-Squares (SOS) programming to generate rigorous Lyapunov certificates of stability. Key Capabilities: Invariant Funnels: Guarantees that a system remains within a bounded region despite initial state deviations. Modular Pipeline: Seamlessly connects trajectory optimization, feedback control design via time-varying LQR, and SOS verification. Optimization Stack: Built on YALMIP and SOSTOOLS (requires IPOPT, and MOSEK or SeDuMi solvers). Full Documentation: See the attached computeSOSFunnels_Tutorial.pdf inside the ZIP file for a complete technical report and user guide.

Zenodo (CERN European Organization for Nuclear Research)
University of Maryland, College Park (US)
Openalex Percentile: Top 28%
Formal Methods in Verification
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