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Verifying the Unknown: Correct-by-Design Control Synthesis for Networks of Stochastic Uncertain Systems.

, , , and . CDC, page 7035-7042. IEEE, (2023)

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Sampling-based Approximations with Quantitative Performance for the Probabilistic Reach-Avoid Problem over General Markov Processes., , and . CoRR, (2014)Robust Dynamic Programming for Temporal Logic Control of Stochastic Systems., and . CoRR, (2018)Similarity quantification for linear stochastic systems as a set-theoretic control problem., and . CoRR, (2020)Direct Data-Driven State-Feedback Control of General Nonlinear Systems., , , and . CDC, page 3688-3693. IEEE, (2023)Risk-Aware Real-Time Task Allocation for Stochastic Multi-Agent Systems under STL Specifications., , , , and . CoRR, (2024)Robust Dynamic Programming for Temporal Logic Control of Stochastic Systems., and . IEEE Trans. Autom. Control., 66 (6): 2496-2511 (2021)Formal Control Synthesis via Simulation Relations and Behavioral Theory for Discrete-Time Descriptor Systems., , , and . IEEE Trans. Autom. Control., 66 (3): 1024-1039 (2021)Automated Experiment Design for Data-Efficient Verification of Parametric Markov Decision Processes., , , and . QEST, volume 10503 of Lecture Notes in Computer Science, page 259-274. Springer, (2017)Verification of General Markov Decision Processes by Approximate Similarity Relations and Policy Refinement., , and . QEST, volume 9826 of Lecture Notes in Computer Science, page 227-243. Springer, (2016)Risk-Aware MPC for Stochastic Systems with Runtime Temporal Logics., , , and . CoRR, (2024)