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Lane Change in Automated Driving: An Explicit Coordination Strategy., , and . IEEE Control. Syst. Lett., (2023)A decentralized approach to multi-agent MILPs: Finite-time feasibility and performance guarantees., , and . Autom., (2019)Tracking-ADMM for distributed constraint-coupled optimization., , , and . Autom., (2020)Optimal disturbance compensation for constrained linear systems operating in stationary conditions: A scenario-based approach., , , , and . Autom., (2019)A constrained clustering approach to bounded-error identification of switched and piecewise affine systems., , , and . Autom., (2022)A Randomized Approach to Probabilistic Footprint Estimation of a Space Debris Uncontrolled Reentry., and . IEEE Trans. Intell. Transp. Syst., 18 (10): 2657-2666 (2017)An iterative scheme for the approximate linear programming solution to the optimal control of a Markov Decision Process., and . ECC, page 1200-1205. IEEE, (2015)Optimally shaping the stationary distribution of a constrained discrete time stochastic linear system via disturbance compensation., , , , and . CDC, page 629-634. IEEE, (2017)Ancillary Services Provision via Aggregation: Joint Power Flexibility Assessment and Disaggregation Policy Design., , , and . IEEE Control. Syst. Lett., (2023)Uncertain multi-agent MILPs: A data-driven decentralized solution with probabilistic feasibility guarantees., , and . L4DC, volume 120 of Proceedings of Machine Learning Research, page 1000-1009. PMLR, (2020)