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๐Ÿ” darsih ๐Ÿ“‚ Engineering
Showing 108 results for "darsih" in Engineering
Engineering Preprint PDF DOI

Cross-Atlantic Research Agenda for Scalable Grid Architectures and Distributed Flexibility

Mads R. Almassalkhi, Dakota Hamilton, Hasan Giray Oral, Yury Dvorkin, Dennice Gayme, Bri-Mathias Hodge, Brian Vad Mathiesen, Jakob Stoustrup, Tobias Ritschel, Rune G. Junker, Shahab Tohidi, Razgar Ebrahimy, Henrik Madsen ยท 2026

Electric power systems are rapidly evolving into deeply digital, cyber-physical infrastructures in which large fleets of distributed energy resources must be coordinated as system-level flexibility acโ€ฆ

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Engineering Preprint PDF DOI

Greedy Kalman-Swarm: Improving State Estimation in Robot Swarms in Harsh Environments

Phunyapa Suksomboon, Paulo Garcia ยท 2026

State estimation is a fundamental requirement in robotics, where the accurate determination of a robot's state is essential for stable operation despite inherent process disturbances and sensor noise.โ€ฆ

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Engineering Preprint PDF DOI

Stealthy Cyber-Attacks on Vehicle Lateral Dynamics: A System-Theoretic Analysis

Ali Eslami, Jiangbo Yu, Mohammad Pirani ยท 2026

This paper studies the vehicle bicycle model under three classes of stealthy cyber-attacks: replay attacks, zero dynamics attacks, and covert attacks. Using a system-theoretic framework, we analyze thโ€ฆ

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Engineering Preprint PDF DOI

Safe and Near-Optimal Gate Control: A Case Study from the Danish West Coast

Martin Kristjansen (Aalborg University), Kim Guldstrand Larsen (Aalborg University), Marius Mikucionis (Aalborg University), Christian Schilling (Aalborg University) ยท 2026

Ringkoebing Fjord is an inland water basin on the Danish west coast separated from the North Sea by a set of gates used to control the amount of water entering and leaving the fjord. Currently, human โ€ฆ

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Engineering Preprint PDF DOI

ROFT-VINS: Robust Feature Tracking-based Visual-Inertial State Estimation for Harsh Environment

Sanghyun Park, Soohee Han ยท 2026

SLAM (Simultaneous Localization and Mapping) and Odometry are important systems for estimating the position of mobile devices, such as robots and cars, utilizing one or more sensors. Particularly in cโ€ฆ

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Engineering Preprint PDF DOI

Vision-Augmented On-Track System Identification for Autonomous Racing via Attention-Based Priors and Iterative Neural Correction

Zhiping Wu, Cheng Hu, Yiqin Wang, Lei Xie, Hongye Su ยท 2026

Operating autonomous vehicles at the absolute limits of handling requires precise, real-time identification of highly non-linear tire dynamics. However, traditional online optimization methods suffer โ€ฆ

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Engineering Preprint PDF DOI

Efficient reformulations of ReLU deep neural networks for surrogate modelling in power system optimisation

Yogesh Pipada Sunil Kumar, S. Ali Pourmousavi, Jon A.R. Liisberg, Julian Lesmos-Vinasco ยท 2026

The ongoing decarbonisation of power systems is driving an increasing reliance on distributed energy resources, which introduces complex and nonlinear interactions that are difficult to capture in conโ€ฆ

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Engineering Preprint PDF DOI

Calibrated uncertainty quantification for prosumer flexibility aggregation in ancillary service markets

Yogesh Pipada Sunil Kumar, S. Ali Pourmousavi, Jon A.R. Liisberg, Julian Lesmos-Vinasco ยท 2026

Reliable forecasting of prosumer flexibility is critical for demand response aggregators participating in frequency controlled ancillary services market, where strict reliability requirements such as โ€ฆ

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Engineering Preprint PDF DOI

SkinGenBench: Generative Model and Preprocessing Effects for Synthetic Dermoscopic Augmentation in Melanoma Diagnosis

N. A. Adarsh Pritam, Jeba Shiney O, Sanyam Jain ยท 2025

This work introduces SkinGenBench, a systematic biomedical imaging benchmark that investigates how preprocessing complexity interacts with generative model choice for synthetic dermoscopic image augmeโ€ฆ

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Engineering Preprint PDF DOI

Data-Driven Post-Event Analysis with Real-World Oscillation Data from Denmark

Youhong Chen, Debraj Bhattacharjee, Balarko Chaudhuri, Mark O Malley, Nan Qin, Adrian Pilkaer Expethit ยท 2025

This paper demonstrates how Extended Dynamic Mode Decomposition (EDMD), grounded in Koopman operator theory, can effectively identify the main contributor(s) to oscillations in power grids. We use PMUโ€ฆ

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NeuroDOB: A Deep Neural Observer-Based Controller for Vehicle Lateral Dynamics

Sangmin Kim, Taehun Kim, Guntae Kim, Chang Mook Kang ยท 2025

This paper proposes NeuroDOB, a deep neural network based observer controller for vehicle lateral dynamics, which replaces the conventional disturbance observer (DOB) with a deep neural network (DNN) โ€ฆ

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Engineering Preprint PDF DOI

Green Hydrogen under Uncertainty: Evaluating Power-to-X Strategies Using Agent-Based Simulation and Multi-Criteria Decision Framework

Frederik Wagner Madsen, Joy Dalmacio Billanes, Bo N{o}rregaard J{o}rgensen, Zheng Ma ยท 2025

The transition toward net-zero energy systems requires scalable and cost-effective deployment of Power-to-X technologies, particularly green hydrogen production. Despite increasing investments, a critโ€ฆ

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Engineering Preprint PDF DOI

Ruggedized Ultrasound Sensing in Harsh Conditions: eRTIS in the wild

Dennis Laurijssen, Wouter Jansen, Arne Aerts, Walter Daems, Jan Steckel ยท 2025

We present eRTIS, a rugged, embedded ultrasound sensing system for use in harsh industrial environments. The system features a broadband capacitive transducer and a 32-element MEMS microphone array caโ€ฆ

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Engineering Preprint PDF DOI

Optimizing Bipedal Locomotion for The 100m Dash With Comparison to Human Running

Devin Crowley, Jeremy Dao, Helei Duan, Kevin Green, Jonathan Hurst, Alan Fern ยท 2025

In this paper, we explore the space of running gaits for the bipedal robot Cassie. Our first contribution is to present an approach for optimizing gait efficiency across a spectrum of speeds with the โ€ฆ

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Engineering Preprint PDF DOI

Residual Koopman Model Predictive Control for Enhanced Vehicle Dynamics with Small On-Track Data Input

Yonghao Fu, Cheng Hu, Haokun Xiong, Zhanpeng Bao, Wenyuan Du, Edoardo Ghignone, Michele Magno, Lei Xie, Hongye Su ยท 2025

In vehicle trajectory tracking tasks, the simplest approach is the Pure Pursuit (PP) Control. However, this single-point preview tracking strategy fails to consider vehicle model constraints, compromiโ€ฆ

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Engineering Preprint PDF DOI

Deep Bilinear Koopman Model for Real-Time Vehicle Control in Frenet Frame

Mohammad Abtahi, Farhang Motallebi Araghi, Navid Mojahed, Shima Nazari ยท 2025

Accurate modeling and control of autonomous vehicles remain a fundamental challenge due to the nonlinear and coupled nature of vehicle dynamics. While Koopman operator theory offers a framework for deโ€ฆ

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Engineering Preprint PDF DOI

Safe Reinforcement Learning with a Predictive Safety Filter for Motion Planning and Control: A Drifting Vehicle Example

Bei Zhou, Baha Zarrouki, Mattia Piccinini, Cheng Hu, Lei Xie, Johannes Betz ยท 2025

Autonomous drifting is a complex and crucial maneuver for safety-critical scenarios like slippery roads and emergency collision avoidance, requiring precise motion planning and control. Traditional moโ€ฆ

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Engineering Preprint PDF DOI

EPC Framework for BESS Projects

Zeenat Hameed, Chresten Tr{ae}holt ยท 2025

Battery Energy Storage Systems (BESS) are critical for modern power networks, supporting grid services such as frequency regulation, peak shaving, and black start. Delivering a BESS under an Engineeriโ€ฆ

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Engineering Preprint PDF DOI

Energy personas in Danish households

Nadine Sandjo Tchatchoua (Roskilde University), Line Valdorff Madsen (Aalborg University), Anders Rhiger Hansen (Aalborg University) ยท 2025

Technologies to monitor the provision of renewable energy are part of emerging technologies to help address the discrepancy between renewable energy production and its related usage in households. Thiโ€ฆ

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Engineering Preprint PDF DOI

AI-CDA4All: Democratizing Cooperative Autonomous Driving for All Drivers via Affordable Dash-cam Hardware and Open-source AI Software

Shengming Yuan, Hao Zhou ยท 2025

As transportation technology advances, the demand for connected vehicle infrastructure has greatly increased to improve their efficiency and safety. One area of advancement, Cooperative Driving Automaโ€ฆ

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