Alessandro Falsone
Orcid: 0000-0002-2335-1490
According to our database1,
Alessandro Falsone
authored at least 48 papers
between 2014 and 2024.
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Bibliography
2024
IEEE Trans. Control. Syst. Technol., March, 2024
2023
Augmented Lagrangian Tracking for distributed optimization with equality and inequality coupling constraints.
Autom., November, 2023
Dealing with infeasibility in multi-parametric programming for application to explicit model predictive control.
Autom., November, 2023
Annu. Rev. Control., January, 2023
IEEE Trans. Autom. Control., 2023
Ancillary Services Provision via Aggregation: Joint Power Flexibility Assessment and Disaggregation Policy Design.
IEEE Control. Syst. Lett., 2023
IEEE Control. Syst. Lett., 2023
CoRR, 2023
2022
Optimal Steady-State Disturbance Compensation for Constrained Linear Systems: The Gaussian Noise Case.
IEEE Trans. Autom. Control., 2022
IEEE Control. Syst. Lett., 2022
Autom., 2022
Autom., 2022
A constrained clustering approach to bounded-error identification of switched and piecewise affine systems.
Autom., 2022
A scenario solution to state-feedback controller design for discrete-time linear systems subject to probabilistic constraints.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
2021
A Distributed Dual Proximal Minimization Algorithm for Constraint-Coupled Optimization Problems.
IEEE Control. Syst. Lett., 2021
New results on resource sharing problems with random agent arrivals and an application to economic dispatch in power systems.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021
2020
Uncertain multi-agent MILPs: A data-driven decentralized solution with probabilistic feasibility guarantees.
Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020
2019
A decentralized approach to multi-agent MILPs: Finite-time feasibility and performance guarantees.
Autom., 2019
Optimal disturbance compensation for constrained linear systems operating in stationary conditions: A scenario-based approach.
Autom., 2019
Nonlinear system identification with model structure selection via distributed computation.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019
2018
A Feature Selection and Classification Algorithm Based on Randomized Extraction of Model Populations.
IEEE Trans. Cybern., 2018
IEEE Trans. Control. Netw. Syst., 2018
Distributed Constrained Optimization and Consensus in Uncertain Networks via Proximal Minimization.
IEEE Trans. Autom. Control., 2018
A Distributed Iterative Algorithm for Multi-Agent MILPs: Finite-Time Feasibility and Performance Characterization.
IEEE Control. Syst. Lett., 2018
Energy management in a multi-building set-up via distributed stochastic optimization.
Proceedings of the 2018 Annual American Control Conference, 2018
2017
A Randomized Approach to Probabilistic Footprint Estimation of a Space Debris Uncontrolled Reentry.
IEEE Trans. Intell. Transp. Syst., 2017
A randomised approach for NARX model identification based on a multivariate Bernoulli distribution.
Int. J. Syst. Sci., 2017
A compositional modeling framework for the optimal energy management of a district network.
CoRR, 2017
Dual decomposition for multi-agent distributed optimization with coupling constraints.
Autom., 2017
A Smart Grid Energy Management Problem for Data-driven Design with Probabilistic Reachability Guarantees.
Proceedings of the ARCH17. 4th International Workshop on Applied Verification of Continuous and Hybrid Systems, 2017
A proximal minimization based distributed approach to power control in wireless networks: Performance and comparative analysis.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017
Linear programs for resource sharing among heterogeneous agents: The effect of random agent arrivals.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017
Optimally shaping the stationary distribution of a constrained discrete time stochastic linear system via disturbance compensation.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017
2016
A compositional framework for energy management of a smart grid: A scalable stochastic hybrid model for cooling of a district network.
Proceedings of the 12th IEEE International Conference on Control and Automation, 2016
Constrained optimal control of stochastic switched affine systems using randomization.
Proceedings of the 15th European Control Conference, 2016
Distributed constrained convex optimization and consensus via dual decomposition and proximal minimization.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016
Proceedings of the 2016 American Control Conference, 2016
Energy management of a building cooling system with thermal storage: a randomized solution with feedforward disturbance compensation.
Proceedings of the 2016 American Control Conference, 2016
2015
An iterative scheme for the approximate linear programming solution to the optimal control of a Markov Decision Process.
Proceedings of the 14th European Control Conference, 2015
Optimal control to reduce emissions in gasoline engines: an iterative learning control approach for ECU calibration maps improvement.
Proceedings of the 14th European Control Conference, 2015
An iterative scheme to hierarchically structured optimal energy management of a microgrid.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015
Proceedings of the 2015 IEEE Conference on Control Applications, 2015
2014
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014