Luca Deori

Orcid: 0000-0002-7218-3796

According to our database1, Luca Deori authored at least 16 papers between 2013 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Bibliography

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

2020
A randomized relaxation method to ensure feasibility in stochastic control of linear systems subject to state and input constraints.
Autom., 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

Optimal disturbance compensation for constrained linear systems operating in stationary conditions: A scenario-based approach.
Autom., 2019

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

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

2015
A model predictive control approach to aircraft motion control.
PhD thesis, 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

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

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

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


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