Unit
Automatic Control Laboratory 3
LaboratoryRelated publications (1,000)
A Combination Technique for Optimal Control Problems Constrained by Random PDEs
We present a combination technique based on mixed differences of both spatial approximations and quadrature formulae for the stochastic variables to solve efficiently a class of optimal control problems (OCPs) constrained by random partial differential equ ...
2024A ride time-oriented scheduling algorithm for dial-a-ride problems
Nikolaos Geroliminis, Claudia Bongiovanni, Mor Kaspi
This paper offers a new algorithm to efficiently optimize scheduling decisions for dial-a-ride problems (DARPs), including problem variants considering electric and autonomous vehicles (e-ADARPs). The scheduling heuristic, based on linear programming theor ...
Pergamon-Elsevier Science Ltd2024Scalable constrained optimization
Modern optimization is tasked with handling applications of increasingly large scale, chiefly due to the massive amounts of widely available data and the ever-growing reach of Machine Learning. Consequently, this area of research is under steady pressure t ...
EPFL2024Data-driven LPV Disturbance Rejection Control with IQC-based Stability Guarantees for Rate-bounded Scheduling Parameter Variations
Alireza Karimi, Elias Sebastian Klauser
In this paper, the challenge of asymptotically rejecting sinusoidal disturbances with unknown time-varying frequency and bounded rate is explored. A novel data-driven approach for designing linear parameter-varying (LPV) con- troller is introduced, leverag ...
2024Violation-aware contextual Bayesian optimization for controller performance optimization with unmodeled constraints
Colin Neil Jones, Bratislav Svetozarevic, Wenjie Xu
We study the problem of performance optimization of closed -loop control systems with unmodeled dynamics. Bayesian optimization (BO) has been demonstrated to be effective for improving closed -loop performance by automatically tuning controller gains or re ...
Elsevier Sci Ltd2024Federated Reinforcement Learning for Electric Vehicles Charging Control on Distribution Networks
Yuning Jiang, Wei Chen, Xin Liu, Ting Wang
With the growing popularity of electric vehicles (EVs), maintaining power grid stability has become a significant challenge. To address this issue, EV charging control strategies have been developed to manage the switch between vehicle-to-grid (V2G) and gr ...
Ieee-Inst Electrical Electronics Engineers Inc2024Analytical Computation of the Sensitivity Coefficients in Hybrid AC/DC Networks
Mario Paolone, Willem Lambrichts
In this paper, we present a model for the analytical computation of the power flow sensitivity coefficients (SCs) for hybrid AC/DC networks. The SCs are defined as the partial derivates of the nodal voltages with respect to the active and reactive power in ...
2024Non-parametric IQC Multipliers in Data-Driven Robust Controller Synthesis
Alireza Karimi, Vaibhav Gupta, Elias Sebastian Klauser
The paper presents a robust data-driven controller synthesis method for generalised multi-input multioutput (MIMO) systems. Using the frequency response of a linear time-invariant (LTI) MIMO system and characterising perturbations through Integral Quadrati ...
2024Critical degeneracy in a nonlinear hyperbolic equation can produce atypical instability
This paper deals with the initial value problem for a semilinear wave equation on a bounded domain and solutions are required to vanish on the boundary of this domain. The essential feature of the situation considered here is that the ellipticity of the sp ...
2024Less Conservatism, Stronger Robustness: Iterative Robust Gain-Scheduled Path Following Control of Autonomous Bus With Unstructured and Changing Dynamics
Denis Gillet, Man Shi, Jianwei Li
Path-following control is a critical technology for autonomous vehicles. However, time-varying parameters, parametric uncertainties, external disturbances, and complicated environments significantly challenge autonomous driving. We propose an iterative rob ...
Ieee-Inst Electrical Electronics Engineers Inc2024