Lahcen El Bourkhissi, born in Morocco in 1997, earned his master’s degree in electrical engineering from the Arts et Métiers Institute of Technology in Lille, France, where he completed a thesis on the sensorless control of multi-phase permanent magnet synchronous machines using neural networks. In October 2021, he joined the University POLITEHNICA of Bucharest to pursue a PhD under the supervision of Prof. Dr. Ion Necoara as a Marie-Curie fellow in the ELO-X project.
Project description
Lahcen primarily focuses on developing penalty/augmented Lagrangian-based algorithms for solving nonlinear programs, which often arise from transcribing optimal control problems using direct methods. His main objective is to ensure that the developed methods involve only simple routines, making nonlinear model predictive control feasible for deployment on embedded hardware.
Publications
Convergence rates for an inexact linearized ADMM for nonsmooth optimization with nonlinear equality constraints Working paper
2024, (Under review).
Complexity of linearized quadratic penalty for optimization with nonlinear equality constraints Working paper
2023, (Under review).
Linearized ADMM for Nonsmooth Nonconvex Optimization with Nonlinear Equality Constraints Proceedings Article
In: 2023 62nd IEEE Conference on Decision and Control (CDC), pp. 7312-7317, IEEE, Singapore, Singapore, 2023, ISSN: 2576-2370.
Least Squares Moment Matching-Based Model Reduction Using Convex Optimization Proceedings Article
In: 2022 26th International Conference on System Theory, Control and Computing (ICSTCC), pp. 325–330, 2022, ISSN: 2372-1618.