CaΣoS provides tools for symbolic polynomial expressions, conic optimization, and parametrized (convex and nonconvex) sum-of-squares optimization, making use of the CasADi software for symbolic expressions, automatic differentiation, and numerical optimization. CaΣoS is developed by researchers at the Institute of Flight Mechanics and Controls of the University of Stuttgart and distributed open-source under the GPL-3.0 license.
- All platforms: version 1.0.0 (zip | tar.gz)
- CaΣoS example package (zip)
- Getting started
- Available conic solvers
- Convex and nonconvex sum-of-squares optimization
- Supported vector, matrix, and polynomial cones
- Some practical tipps to sum-of-squares
- Transitioning from other toolboxes
- Example code snippets
If you use CaΣoS, please cite us:
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T. Cunis and J. Olucak, ‘CaΣoS: A nonlinear sum-of-squares optimization suite’, in 2025 American Control Conference, (Denver, CO), pp. 1659–1666, 2025. doi: 10.23919/ACC63710.2025.11107794
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J. Olucak and T. Cunis, ‘Sequential Quadratic Sum-of-squares Programming for Nonlinear Control Systems’, Pre-print. arXiv: 2602.02394
Bibtex entry
@inproceedings{Cunis2025acc,
author = {Cunis, Torbjørn and Olucak, Jan},
title = {{CaΣoS}: {A} nonlinear sum-of-squares optimization suite},
booktitle = {2025 American Control Conference},
address = {Denver, CO},
year = {2025},
pages = {1659--1666},
doi = {10.23919/ACC63710.2025.11107794},
}
@misc{Olucak2026,
title={Sequential Quadratic Sum-of-squares Programming for Nonlinear Control Systems},
author={Olucak, Jan and Cunis, Torbjørn},
year={2026},
eprint={2602.02394},
archivePrefix={arXiv},
url={https://arxiv.org/abs/2602.02394},
}We provide the source code for our benchmarks and comparisons:
- Implementation details and source code for CaΣoS: A nonlinear sum-of-squares optimization suite, DaRUS, 2024. doi: 10.18419/DARUS-4499
- Supplementary Material for Sequential Quadratic Sum-of-squares Programming for Nonlinear Control Systems, DaRUS, 2026. doi: 10.18419/DARUS-5677
Further applications of CaΣoS include:
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R. Loureiro and T. Cunis, ‘Nonlinear Observer Synthesis for Stochastic Polynomial Dynamical Systems’, in 2025 American Control Conference, (Denver, CO), 2025, pp. 2509–2514. doi: 10.23919/ACC63710.2025.11107965
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R. Loureiro and T. Cunis, ‘Estimating Robust Regions of Attraction with Uncertain Equilibrium Points’, in 2025 American Control Conference, (Denver, CO), 2025, pp. 1045–1050. doi: 10.23919/ACC63710.2025.11107427
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J. Olucak, A. C. B. de Oliveira, and T. Cunis, ‘Safe-by-Design: Approximate Nonlinear Model Predictive Control with Realtime Feasibility’, Preprint. arXiv: 2509.22422, Source code