Maria Prandini

Orcid: 0000-0001-7443-4117

Affiliations:
  • Politecnico di Milano, Italy


According to our database1, Maria Prandini authored at least 150 papers between 2000 and 2024.

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Bibliography

2024
Automated Photovoltaic Power Plant Inspection via Unmanned Vehicles.
IEEE Trans. Control. Syst. Technol., March, 2024

A Dual Bisection Approach to Economic Dispatch of Generators With Prohibited Operating Zones.
IEEE Control. Syst. Lett., 2024

Finite sample learning of moving targets.
CoRR, 2024

A Leader-Follower Strategy with Distributed Consensus for the Coordinated Navigation of a Team of Quadrotors in an Environment with Obstacles.
Proceedings of the European Control Conference, 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

Probabilistic feasibility in data-driven multi-agent non-convex optimization.
Annu. Rev. Control., January, 2023

On the Sensitivity of Linear Resource Sharing Problems to the Arrival of New Agents.
IEEE Trans. Autom. Control., 2023

Ancillary Services Provision via Aggregation: Joint Power Flexibility Assessment and Disaggregation Policy Design.
IEEE Control. Syst. Lett., 2023

Lane Change in Automated Driving: An Explicit Coordination Strategy.
IEEE Control. Syst. Lett., 2023

A data-driven approach to fault diagnostics for industrial process plants based on feature extraction and inferential statistics.
Proceedings of the International Conference on Control, Automation and Diagnosis, 2023

A Collaborative Multi-Agent Nonlinear System Identification Algorithm with Spectral Regularization.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022
Optimal Steady-State Disturbance Compensation for Constrained Linear Systems: The Gaussian Noise Case.
IEEE Trans. Autom. Control., 2022

A probabilistic approach to mid-term conflict detection with accuracy estimate.
J. Frankl. Inst., 2022

Hyper-Graph Partitioning for a Multi-Agent Reformulation of Large-Scale MILPs.
IEEE Control. Syst. Lett., 2022

Distributed decision-coupled constrained optimization via Proximal-Tracking.
Autom., 2022

A constrained clustering approach to bounded-error identification of switched and piecewise affine systems.
Autom., 2022

An abstraction and refinement computational approach to safety verification of discrete time nonlinear systems.
Proceedings of the European Control Conference, 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

An efficient aircraft conflict probability estimation method using a spatial multi-resolution scheme.
Proceedings of the 2021 European Control Conference, 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
An Admissible Heuristic to Improve Convergence in Kinodynamic Planners Using Motion Primitives.
IEEE Control. Syst. Lett., 2020

Tracking-ADMM for distributed constraint-coupled optimization.
Autom., 2020

A randomized relaxation method to ensure feasibility in stochastic control of linear systems subject to state and input constraints.
Autom., 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
Regularized Jacobi Iteration for Decentralized Convex Quadratic Optimization With Separable Constraints.
IEEE Trans. Control. Syst. Technol., 2019

4-D Flight Trajectory Tracking: A Receding Horizon Approach Integrating Feedback Linearization and Scenario Optimization.
IEEE Trans. Control. Syst. Technol., 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

Sampling-based optimal kinodynamic planning with motion primitives.
Auton. Robots, 2019

Probability estimation in aircraft conflict detection: a simple and computationally effective method with accuracy certificates.
Proceedings of the 17th European Control Conference, 2019

A novel set-based reachability method for optimal robust control of constrained linear systems.
Proceedings of the 17th European Control Conference, 2019

Nonlinear system identification with model structure selection via distributed computation.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Multi-agent trajectory planning: A decentralized iterative algorithm based on single-agent dynamic RRT.
Proceedings of the 2019 American Control Conference, 2019

2018
A Feature Selection and Classification Algorithm Based on Randomized Extraction of Model Populations.
IEEE Trans. Cybern., 2018

Finite-Time Distributed Averaging Over Gossip-Constrained Ring Networks.
IEEE Trans. Control. Netw. Syst., 2018

Switched Control for Quantized Feedback Systems: Invariance and Limit Cycle Analysis.
IEEE Trans. Autom. Control., 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

Price of anarchy in electric vehicle charging control games: When Nash equilibria achieve social welfare.
Autom., 2018

A set-based approach to model checking of nonlinear systems (invited tutorial).
Proceedings of the 20th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2018

Using motion primitives to enforce vehicle motion constraints in sampling-based optimal planners.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2018

A data-driven approach to stochastic constrained control of piecewise affine systems.
Proceedings of the 2018 Annual American Control Conference, 2018

Energy management in a multi-building set-up via distributed stochastic optimization.
Proceedings of the 2018 Annual American Control Conference, 2018

Hybrid control of manipulators in human-robot coexistence scenarios.
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

Multi-aircraft Conflict Detection and Resolution Based on Probabilistic Reach Sets.
IEEE Trans. Control. Syst. Technol., 2017

Energy Management of a Building Cooling System With Thermal Storage: An Approximate Dynamic Programming Solution.
IEEE Trans Autom. Sci. Eng., 2017

Minimum Resource Commitment for Reachability Specifications in a Discrete Time Linear Setting.
IEEE Trans. Autom. Control., 2017

FLOPSYNC-QACS: Quantization-aware clock synchronization for wireless sensor networks.
J. Syst. Archit., 2017

Trading performance for state constraint feasibility in stochastic constrained control: A randomized approach.
J. Frankl. Inst., 2017

A randomised approach for NARX model identification based on a multivariate Bernoulli distribution.
Int. J. Syst. Sci., 2017

Switched control for quantized feedback systems: invariance and limit cycles analysis.
CoRR, 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

Fast Algorithm Based on Computational Geometry for Probabilistic Aircraft Conflict Detection.
Proceedings of the 3rd International Conference on Robotics and Artificial Intelligence, 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

A data-based approach to power capacity optimization.
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
Policy Search for the Optimal Control of Markov Decision Processes: A Novel Particle-Based Iterative Scheme.
IEEE Trans. Cybern., 2016

Randomised Algorithm for Feature Selection and Classification.
CoRR, 2016

Model reduction of switched affine systems.
Autom., 2016

Multi-agent Poli-RRT* - Optimal Constrained RRT-based Planning for Multiple Vehicles with Feedback Linearisable Dynamics.
Proceedings of the Modelling and Simulation for Autonomous Systems, 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

On decentralized convex optimization in a multi-agent setting with separable constraints and its application to optimal charging of electric vehicles.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

A stochastic strategy integrating wind compensation for trajectory tracking in aircraft motion control.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Proximal minimization based distributed convex optimization.
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

Distributed allocation of a shared energy storage system in a microgrid.
Proceedings of the 2016 American Control Conference, 2016

A stochastic optimal control solution to the energy management of a microgrid with storage and renewables.
Proceedings of the 2016 American Control Conference, 2016

A method for detecting relevant inputs while satisfying a reachability specification for piecewise affine systems.
Proceedings of the 2016 IEEE Conference on Control Applications, 2016

2015
On the Connection Between Compression Learning and Scenario Based Single-Stage and Cascading Optimization Problems.
IEEE Trans. Autom. Control., 2015

A randomized algorithm for nonlinear model structure selection.
Autom., 2015

A switched control scheme to handle quantisation in the design of high-precision computing system components.
Proceedings of the ACM/IEEE Sixth International Conference on Cyber-Physical Systems, 2015

Poli-RRT*: Optimal RRT-based planning for constrained and feedback linearisable vehicle dynamics.
Proceedings of the 14th European Control Conference, 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

A classification-based approach to the optimal control of affine switched systems.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

An iterative scheme to hierarchically structured optimal energy management of a microgrid.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Stochastic control with input and state constraints: A relaxation technique to ensure feasibility.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

A model predictive control approach to aircraft motion control.
Proceedings of the American Control Conference, 2015

A majority voting classifier with probabilistic guarantees.
Proceedings of the 2015 IEEE Conference on Control Applications, 2015

2014
On the connection between compression learning and scenario based optimization.
CoRR, 2014

Performance assessment and design of abstracted models for stochastic hybrid systems through a randomized approach.
Autom., 2014

Model reduction of switched affine systems: a method based on balanced truncation and randomized optimization.
Proceedings of the 17th International Conference on Hybrid Systems: Computation and Control (part of CPS Week), 2014

An approximate linear programming solution to the probabilistic invariance problem for stochastic hybrid systems.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

A compression learning perspective to scenario based optimization.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

A novel randomized approach to nonlinear system identification.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Optimal building climate control: a solution based on nested dynamic programming and randomized optimization.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

A stochastic reachability analysis approach to aircraft conflict detection and resolution.
Proceedings of the 2014 IEEE Conference on Control Applications, 2014

Input design for a cascading system: An approach based on system decomposition and non-influential input detection.
Proceedings of the 2014 IEEE Conference on Control Applications, 2014

2013
Randomized sampling for large zero-sum games.
Autom., 2013

Reserve requirements in AC power systems with uncertain generation.
Proceedings of the 4th IEEE PES Innovative Smart Grid Technologies Europe, 2013

Approximate dynamic programming-based control of a building cooling system with thermal storage.
Proceedings of the 4th IEEE PES Innovative Smart Grid Technologies Europe, 2013

Stochastic unit commitment and reserve scheduling: A tractable formulation with probabilistic certificates.
Proceedings of the 12th European Control Conference, 2013

Stochastic constrained control: Trading performance for state constraint feasibility.
Proceedings of the 12th European Control Conference, 2013

An approximate dynamic programming approach to the energy management of a building cooling system.
Proceedings of the 12th European Control Conference, 2013

Micro-grid energy management: A computational approach based on simulation and approximate discrete abstraction.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

2012
A self-recovery approach to the probabilistic invariance problem for stochastic hybrid systems.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

A randomized approach to Stochastic Model Predictive Control.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

A simulation-based approach to the approximation of stochastic hybrid systems.
Proceedings of the 4th IFAC Conference on Analysis and Design of Hybrid Systems, 2012

2011
Toward Air Traffic Complexity Assessment in New Generation Air Traffic Management Systems.
IEEE Trans. Intell. Transp. Syst., 2011

Approximate abstractions of stochastic systems: A randomized method.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

Air traffic complexity and the interacting particle system method: An integrated approach for collision risk estimation.
Proceedings of the American Control Conference, 2011

2010
Stochastic Hybrid Systems: A Powerful Framework for Complex, Large Scale Applications.
Eur. J. Control, 2010

Approximate Model Checking of Stochastic Hybrid Systems.
Eur. J. Control, 2010

A geometric approach to air traffic complexity evaluation for strategic trajectory management.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

2009
Application of Reachability Analysis for Stochastic Hybrid Systems to Aircraft Conflict Prediction.
IEEE Trans. Autom. Control., 2009

The scenario approach for systems and control design.
Annu. Rev. Control., 2009

A two-step approach to aircraft conflict resolution combining optimal deterministic design with Monte Carlo stochastic optimization.
Proceedings of the 10th European Control Conference, 2009

A probabilistic approach to air traffic complexity evaluation.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

Adaptation and the effort needed to adapt.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

2008
Probabilistic reachability and safety for controlled discrete time stochastic hybrid systems.
Autom., 2008

Approximation of General Stochastic Hybrid Systems by Switching Diffusions with Random Hybrid Jumps.
Proceedings of the Hybrid Systems: Computation and Control, 11th International Workshop, 2008

Analysing the interaction between braking control and speed estimation: The case of two-wheeled vehicles.
Proceedings of the 47th IEEE Conference on Decision and Control, 2008

An approximate dynamic programming approach to probabilistic reachability for stochastic hybrid systems.
Proceedings of the 47th IEEE Conference on Decision and Control, 2008

2007
Conjugate Points in Formation Constrained Optimal Multi-Agent Coordination: A Case Study.
SIAM J. Control. Optim., 2007

Hybrid Models for Gene Regulatory Networks: The Case of <i>lac</i> Operon in E. Coli.
Proceedings of the Hybrid Systems: Computation and Control, 10th International Workshop, 2007

Computational Approaches to Reachability Analysis of Stochastic Hybrid Systems.
Proceedings of the Hybrid Systems: Computation and Control, 10th International Workshop, 2007

A numerical approximation scheme for reachability analysis of stochastic hybrid systems with state-dependent switchings.
Proceedings of the 46th IEEE Conference on Decision and Control, 2007

A new approach to controller design in presence of constraints.
Proceedings of the 46th IEEE Conference on Decision and Control, 2007

2006
Reachability Analysis for Controlled Discrete Time Stochastic Hybrid Systems.
Proceedings of the Hybrid Systems: Computation and Control, 9th International Workshop, 2006

Probabilistic reachability and safe sets computation for discrete time stochastic hybrid systems.
Proceedings of the 45th IEEE Conference on Decision and Control, 2006

2005
Aircraft conflict prediction in the presence of a spatially correlated wind field.
IEEE Trans. Intell. Transp. Syst., 2005

A self-optimizing switching control scheme for uncertain ARMAX systems.
Proceedings of the 44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, 2005

Interesting conjugate points in formation constrained optimal multi-agent coordination.
Proceedings of the American Control Conference, 2005

Adaptive Stabilization of ARMAX Systems Via Logic-Based Switching.
Proceedings of the Intelligent Control, 2005

2004
Semantic indexing of soccer audio-visual sequences: a multimodal approach based on controlled Markov chains.
IEEE Trans. Circuits Syst. Video Technol., 2004

Piecewise affine systems identification: a learning theoretical approach.
Proceedings of the 43rd IEEE Conference on Decision and Control, 2004

2003
Optimal Coordinated Motions of Multiple Agents Moving on a Plane.
SIAM J. Control. Optim., 2003

Randomized algorithms for the synthesis of cautious adaptive controllers.
Syst. Control. Lett., 2003

Semantic indexing of sports program sequences by audio-visual analysis.
Proceedings of the 2003 International Conference on Image Processing, 2003

Hysteresis-based switching control of stochastic linear systems.
Proceedings of the 7th European Control Conference, 2003

Aircraft conflict detection: A method for computing the probability of conflict based on Markov chain approximation.
Proceedings of the 7th European Control Conference, 2003

Probabilistic safety analysis in three dimensional aircraft flight.
Proceedings of the 42nd IEEE Conference on Decision and Control, 2003

2002
Modelling of visual features by Markov chains for sport content characterization.
Proceedings of the 11th European Signal Processing Conference, 2002

Aircraft and weather models for probabilistic collision avoidance in air traffic control.
Proceedings of the 41st IEEE Conference on Decision and Control, 2002

2001
Hybrid Geodesics as Optimal Solutions to the Collision-Free Motion Planning Problem.
Proceedings of the Hybrid Systems: Computation and Control, 4th International Workshop, 2001

Greedy control for hybrid pursuit games.
Proceedings of the 6th European Control Conference, 2001

Logic-based switching for the stabilization of stochastic systems in presence of unmodeled dynamics.
Proceedings of the 40th IEEE Conference on Decision and Control, 2001

Nash equilibria in partial-information games on Markov chains.
Proceedings of the 40th IEEE Conference on Decision and Control, 2001

2000
A probabilistic approach to aircraft conflict detection.
IEEE Trans. Intell. Transp. Syst., 2000

Adaptive LQG Control of Input-Output Systems---A Cost-biased Approach.
SIAM J. Control. Optim., 2000

A self-optimizing adaptive LQG control scheme for input-output systems.
Proceedings of the 39th IEEE Conference on Decision and Control, 2000

Optimal maneuver for multiple aircraft conflict resolution: a braid point of view.
Proceedings of the 39th IEEE Conference on Decision and Control, 2000

Probabilistic pursuit-evasion games: a one-step Nash approach.
Proceedings of the 39th IEEE Conference on Decision and Control, 2000


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