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This research presents a Python-based simulation framework designed to model electric vehicle (EV) on-demand transportation systems, with a focus on optimizing urban fleet operations. Built on a process-driven architecture, the system…

Optimization and Control · Mathematics 2024-12-02 Chen Zhang , Sushil Varma

In this paper we present the co-simulation of a PID class power converter controller and an electrical circuit by means of the waveform relaxation technique. The simulation of the controller model is characterized by a fixed-time stepping…

The process of developing control functions for embedded systems is resource-, time-, and data-intensive, often resulting in sub-optimal cost and solutions approaches. Reinforcement Learning (RL) has great potential for autonomously…

Machine Learning · Computer Science 2025-03-06 Mario Picerno , Lucas Koch , Kevin Badalian , Marius Wegener , Joschka Schaub , Charles Robert Koch , Jakob Andert

The goals of reducing energy costs, shifting electricity peaks, increasing the use of renewable energy, and enhancing the stability of the electric grid can be met in part by fully exploiting the energy flexibility potential of buildings…

Electronic control systems are becoming more and more complicated, which makes it difficult to test them sufficiently only through experiments. Simulation is an efficient way in the development and testing of complex electronic systems, but…

Systems and Control · Electrical Eng. & Systems 2019-07-10 Xunhua Dai , Chenxu Ke , Quan Quan , Kai-Yuan Cai

This paper demonstrates the value of power hardware-in-the-loop (PHIL) testing for the study of peer-to-peer (P2P) energy trading. P2P has emerged as a promising candidate for coordinating large numbers of distributed energy resources (DER)…

Systems and Control · Electrical Eng. & Systems 2022-07-19 Thomas Perrau , Maksim Stojkovic , Gregor Verbic

As machine learning (ML) techniques gain prominence in power system research, validating these methods' effectiveness under real-world conditions requires real-time hardware-in-the-loop (HIL) simulations. HIL simulation platforms enable the…

Machine Learning · Computer Science 2025-01-23 Aoxiang Ma , Salah Ghamizi , Jun Cao , Pedro Rodriguez

The implementation of connected and automated vehicle (CAV) technologies enables a novel computational framework for real-time control aimed at optimizing energy consumption with associated benefits. In this paper, we implement an optimal…

Optimization and Control · Mathematics 2020-06-01 A M Ishtiaque Mahbub , Vasanthi Karri , Darshil Parikh , Shyam Jade , Andreas A. Malikopoulos

This paper proposes an optimal, grid-aware control framework for the islanding, island-operation and resynchronisation of hybrid AC/DC microgrids. The optimal control framework is based on a formally derived linearized load-flow model for…

Systems and Control · Electrical Eng. & Systems 2025-03-07 Willem Lambrichts , Jules Mace , Drazen Dujic , Mario Paolone

Software-in-the-loop (SIL) simulation is a widely used method for the rapid development and testing of autonomous vehicles because of its flexibility and efficiency. This paper presents a case study on the validation of an in-house…

Software Engineering · Computer Science 2024-06-06 Zhennan Fei , Mikael Andersson , Andreas Tingberg

Advanced Traffic Signal Control (TSC) algorithms require real-time phase control, yet existing Hardware-in-the-Loop Simulation (HILS) testbeds only support pre-programmed timing plans. In this paper, we present the first HILS testbed for…

Systems and Control · Electrical Eng. & Systems 2026-05-20 Zhiyao Zhang , Gergely Zachár , William Barbour , Matt Bunting , Marcos Quiñones-Grueiro , Jonathan Sprinkle , Dan Work

This paper presents a novel strategy for the synchronization of grid-following Voltage Source Converters (VSCs) in power systems with low rotational inertia. The proposed synchronization unit is based on emulating the physical properties of…

Systems and Control · Electrical Eng. & Systems 2022-06-30 Ognjen Stanojev , Uros Markovic , Petros Aristidou , Gabriela Hug

The objective of this paper is to present a novel intelligent train control system for virtual coupling in railroads based on a Learning Model Predictive Control (LMPC). Virtual coupling is an emerging railroad technology that reduces the…

Optimization and Control · Mathematics 2025-07-04 Miguel A. Vaquero-Serrano , Francesco Borrelli , Jesus Felez

Power grids are transitioning from an infrastructure model based on reactive electronics towards a smart grid that features complex software stacks with intelligent, pro-active and decentralized control. As the power grid infrastructure…

Software Engineering · Computer Science 2020-05-26 Eric MSP Veith , Jawad Kazmi , Stephan Balduin

Learning-enabled controllers with stability certificate functions have demonstrated impressive empirical performance in addressing control problems in recent years. Nevertheless, directly deploying the neural controllers onto actual digital…

Optimization and Control · Mathematics 2025-07-22 Luan Yang , Jingdong Zhang , Qunxi Zhu , Wei Lin

This paper presents an extensive framework focused on the control design, along with stability and performance analysis, of Grid-Following Inverters (GFL). It aims to ensure their effective operation under both stiff and weak grid…

Systems and Control · Electrical Eng. & Systems 2024-01-26 Alireza Askarian , Jaesang Park , Srinivasa Salapaka

In [1] a new adaptive phase-locked loop scheme for synchronization of a grid connected voltage source converter with guaranteed (almost) global stability properties was reported. To guarantee a suitable synchronization with the angle of the…

Systems and Control · Electrical Eng. & Systems 2024-08-13 Wei He , Jiachen Yan , Romeo Ortega , Daniele Zonetti

This paper presents a new method for evaluating the synchronization of quasi-periodic oscillations of two oscillators, termed "chimeric synchronization". The family of metrics is proposed to create a neural network information converter…

Adaptation and Self-Organizing Systems · Physics 2019-08-20 Andrei Velichko

The rapid growth of connected and automated vehicle (CAV) solutions have made a significant impact on the safety of intelligent transportation systems. However, similar to any other emerging technology, thorough testing and evaluation…

Networking and Internet Architecture · Computer Science 2019-06-20 Ghayoor Shah , Rodolfo Valiente , Nitish Gupta , S M Osman Gani , Behrad Toghi , Yaser P. Fallah , Somak Datta Gupta

We apply Coloured Petri Nets (CPNs) and the CPN Tools to develop a formal model of an embedded system consisting of a power converter and an associated controller. Matlab/Simulink is the de-facto tool for embedded control and system design,…

Logic in Computer Science · Computer Science 2022-12-14 Vegard Steinsland , Lars Michael Kristensen , Shujun Zhang