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Automated Formal Synthesis of Lyapunov Neural Networks., , , and . CoRR, (2020)Data-Driven Abstractions for Verification of Linear Systems., , and . IEEE Control. Syst. Lett., (2023)Data-driven Abstractions with Probabilistic Guarantees for Linear PETC Systems., and . CoRR, (2022)Data-Driven Abstractions With Probabilistic Guarantees for Linear PETC Systems., and . IEEE Control. Syst. Lett., (2023)FOSSIL: a software tool for the formal synthesis of lyapunov functions and barrier certificates using neural networks., , , , and . HSCC, page 24:1-24:11. ACM, (2021)Aggregation of a heterogeneous population of solar panels: verification and control.. University of Oxford, UK, (2020)British Library, EThOS.Impact of Solar Panels and Cooling Devices on Frequency Control After a Generation Loss Incident., , , and . CDC, page 5904-5909. IEEE, (2018)Automated and Sound Synthesis of Lyapunov Functions with SMT Solvers., , and . TACAS (1), volume 12078 of Lecture Notes in Computer Science, page 97-114. Springer, (2020)A new recursive least squares method with multiple forgetting schemes., , and . CDC, page 3367-3372. IEEE, (2015)Formal Synthesis of Lyapunov Neural Networks., , , and . IEEE Control. Syst. Lett., 5 (3): 773-778 (2021)