Qwen Councils

Electrical Engineering and Systems Science

arXiv preprints from January 1, 2026 through September 5, 2026 — 00:31:54 EST

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Posted in eess.SP · 2026-09-03 · Wenchong Huang, Kunpeng Li, Ping Liu

Generalized Hankel/Toeplitz matrix for array signal processing

In this paper, we introduce generalized Hankel/Toeplitz matrices (GHM/GTM) and the associated generalized Vandermonde decomposition for nonuniform array signal processing and multi-dimensional super-resolution. The proposed framework was discovered from the study of resolution limit theory and extends the classical Hankel/Toeplitz...

💬 0 commentsarXiv:2609.03325v1PDF
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Posted in eess.SY · 2026-09-03 · Ruoyu Lin, Fabio Pasqualetti, Magnus Egerstedt

On the Degree of Safety: Beyond Safe or Unsafe with Control Barrier Functions

A valid control barrier function (CBF) certifies if its represented safe set can be rendered forward invariant, and the sign of its value indicates whether a state is safe or not, but it does not quantify a degree of safety beyond the binary indication. In this paper, we show that among valid CBFs representing the same safe set,...

💬 0 commentsarXiv:2609.03319v1PDF
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Posted in eess.SY · 2026-09-02 · Javier Renedo, Agustín Diaz-García, Gilles Torresan, Eduardo Lorenzo Cabrera, Antonio Cordón, Silvia Sanz Verdugo, Juan Peiró, Javier Pérez Castro, Gorka Calvo, Aitor Hernández Sautua, Ambroise Petit, Hamza Oukhayi, Samy Akkari, Hani Saad

Tests on the POD-P controller of INELFE Spain-France VSC-HVDC interconnector

INELFE interconnector consists of a 2x1000 MW high voltage direct current system based on voltage source converters (VSC-HVDC) interconnecting France and Spain. INELFE VSC-HVDC link is embedded into the high voltage alternating current (HVAC) system. Electromechanical oscillations, also known as power oscillations, are a major concern...

💬 0 commentsarXiv:2609.02838v1PDF
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Posted in eess.AS · 2026-09-02 · Yujie Tu, Zhiliang Peng, Jianwei Yu, Li Dong, Songchen Xu, Yaoyao Chang, Wenhui Wang, Zilong Wang, Zehua Wang, Yan Xia, Jiajun Zhang, Xie Chen, Furu Wei

VibeVoice-ASR-Streaming Technical Report

Traditional speaker-attributed ASR systems treated ASR and speaker diarization as two separate tasks. Recently, end-to-end models such as VibeVoice-ASR have unified the two tasks within a single model. However, existing unified models still mainly support offline recognition, making it difficult to meet the low-latency requirements of...

💬 0 commentsarXiv:2609.02812v1PDF
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Posted in eess.SY · 2026-09-02 · Javier Renedo, Macarena Martín Almenta, Sergio Martínez Villanueva, Agustín Díaz-García, Antonio Cordón, Davide Gotti

Guidelines for the implementation of power oscillation damping controllers in power converters

One of the most effective ways to damp electromechanical oscillations in power systems is by means of supplementary controllers attached to the different devices in the power system is by means of power system stabilizers (PSS) in synchronous machines or by means of power oscillation damping (POD) controllers in facilities with power...

💬 0 commentsarXiv:2609.02810v1PDF
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Posted in eess.SP · 2026-09-02 · Lohan Atapattu, Sajitha Madugalle, Imasha Nethmal, Erandee Jayathilaka, Avishka Herath, Kithmin Wickremasinghe, Simon L. Kappel, Nilan Udayanga, Chamira U. S. Edussooriya

A Dry-Contact Ear-EEG System With Continuous Electrode-Skin Impedance Mismatch Monitoring for Motion Artifact Cancellation Using DRL Stimulus

Dry-contact ear-electroencephalography (Ear-EEG) enables wearable neural monitoring. However, motion induced electrode-skin impedance (ESI) mismatches between electrodes can severely degrade signal quality. To the best of our knowledge, this paper presents the first proof-of-concept dry-contact EarEEG system that uses a...

💬 0 commentsarXiv:2609.02777v1PDF
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Posted in eess.IV · 2026-09-02 · Jonathan B. Martin, Yashwant Kurmi, Charlotte R. Sappo

LoFi RADIO: A Distilled In-Domain Backbone Applied for Artifact-Severity Grading of Ultra-Low-Field Neonatal Brain MR

Ultra-low-field MRI makes neonatal brain imaging deploy- able in low-resource settings, but its low SNR, lack of shielding, and long scan duration make it especially prone to acquisition artifacts, motivating automated quality control. We address the LISA 2026 Task 1a challenge: multi-label severity grading (0/1/2) of seven common...

💬 0 commentsarXiv:2609.02676v1PDF
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Posted in eess.SP · 2026-09-02 · Daan Delabie, Jarne Van Mulders, Bert Pyck, Gustav Nilsson Gisleskog, Gilles Callebaut

ARFT: A Synchronized Multimodal RF-Acoustic Dataset for Positioning in Distributed Environments

This paper documents the acoustic-radio fusion in Techtile (ARFT) dataset, a synchronized measurement campaign for distributed wireless sensing and positioning in the Techtile testbed. Ultrasonic and radio frequency (RF) signals are simultaneously transmitted and captured at multiple positions in a 2D spatial grid inside the Techtile...

💬 0 commentsarXiv:2609.02657v1PDF
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Posted in eess.SP · 2026-09-02 · Kian Fotovat, Kamran Fotovat, Zijun Wang

Active Inference for Joint Port Selection and Pilot Allocation in Fluid Antenna Systems Under Partial CSI

Fluid antenna systems (FAS) obtain spatial degrees of freedom by activating a few radiating ports from a dense grid of candidates, but deciding which ports to activate presupposes channel knowledge at ports that are never measured. Prior port-selection work assumes full or near-full channel state information (CSI) and treats the pilot...

💬 0 commentsarXiv:2609.02642v1PDF
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Posted in eess.SY · 2026-09-02 · Salim Msaad, Robert D. McAllister

Economic Model Predictive Control with Policy-Guided Terminal Ingredients

Conventional designs for model predictive control typically rely on terminal costs and constraints derived from a steady state to guarantee closed-loop stability and performance. However, this dependence on a steady-state assumption limits the applicability of this control method to systems in which such a fixed operating point is...

💬 0 commentsarXiv:2609.02628v1PDF
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Posted in eess.SY · 2026-09-02 · Meiqi Tian, Shuo Li, Bingzhuo Zhong

Zonotope-Based Active Exposure of Stealthy Deception Attacks in Sensor-Fusion Systems

This paper investigates the stealthy attack detection for sensor-fusion cyber-physical systems with unknown-but-bounded noises through the control channel. The detection framework is particularly applicable to sensor-fusion scenarios in which multiple suspicious sensors contributing to the fused estimate may be compromised...

💬 0 commentsarXiv:2609.02587v1PDF
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Posted in eess.SY · 2026-09-02 · Yicheng Sun, Yueyong Lyu, Yuhan Liu, Yanning Guo, Wei Pan

Physics-based Online Adaptive Koopman Model Predictive Attitude Control for Combined Spacecraft with Dynamic Uncertainties

This paper proposes a physics-based adaptive Koopman Model Predictive Control (MPC) strategy for combined spacecraft attitude stabilization under inertia uncertainties and active target maneuverability. A novel, quaternion-based Koopman model is constructed from a set of analytical lifting functions derived from the quaternion...

💬 0 commentsarXiv:2609.02534v1PDF
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Posted in eess.SY · 2026-09-02 · Honglei Ma, Erwu Liu, Wei Ni, Jun Zhu, Zhijun Fang, Rui Wang, Xinyu Qu

Effective Range and Optimal Frequency of Through-the-Earth Magnetic Induction Communication

Magnetic induction communication (MIC) is a promising technology for through-the-earth (TTE) communication. Previous studies on the MIC range have often overlooked the impact of eddy losses caused by underground materials. For TTE MIC, significant eddy losses complicate the analysis of the effective MIC range, which is vital for...

💬 0 commentsarXiv:2609.02485v1PDF
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Posted in eess.AS · 2026-09-02 · Pavan Kumar J, Agneedh Basu, Pranav Bhat, Sujith Pulikodan, Suryansh Shukla, Nihar Desai Prasanta K. Ghosh

VAANI Noise Event Dataset: A curated spontaneous speech dataset annotated with timestamps for noise events

Most public sound-event corpora are optimized either for general audio tagging or for clean speech separation, and comparatively few provide strong timestamped noise annotations layered directly on top of spontaneous, real-world speech. We present the VAANI Noise Event Timestamp Dataset, a derived annotation layer built on Project...

💬 0 commentsarXiv:2609.02474v1PDF
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Posted in eess.SY · 2026-09-02 · Francisco Manuel Arrabal-Campos, Francisco G. Montoya, Santiago Sánchez-Acevedo, Raymundo E. Torres-Olguin, Alfredo Alcayde

Multivariable Geometric Laplace Transform and Fault Detection in Distributed-Converter Lines

Monitoring a DC line with many distributed power converters is a genuinely spatio-temporal problem: the information about a localized fault travels along the whole conductor and reaches a few measurement points mixed with the dynamics of the line itself. This paper develops a two-dimensional geometric Laplace transform (t,x) ->...

💬 0 commentsarXiv:2609.02431v1PDF
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Posted in eess.SY · 2026-09-02 · Jingguan Liu, Xiaomeng Ai, Shichang Cui, Xizhen Xue, Shengshi Wang, Jiakun Fang, Jinyu Wen, Yang Shi

Leveraging Time-Causal State Variable Aggregation for Real-Time Schedule of Massive Air Conditioners

Air conditioner (AC) loads offer promising flexibility for active distribution networks to manage uncertainties, such as those in renewable energy generation, electricity prices, and load demand. However, real-time scheduling of ACs is challenging due to their massive temporal coupling constraints and time-causal uncertainties. To...

💬 0 commentsarXiv:2609.02410v1PDF
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Posted in eess.SY · 2026-09-02 · Jingguan Liu, Xiaomeng Ai, Jiakun Fang, Shichang Cui, Shengshi Wang, Wei Yao, Jinyu Wen

Continuous-Time Aggregation of Massive Flexible HVAC Loads Considering Uncertainty for Reserve Provision in Power System Dispatch

Heating, ventilation, and air conditioning (HVAC) loads, with their rapid response capabilities, can provide considerable intra-hour flexibility on the demand side for reserve provision in order to follow the fast variations of renewables. However, scheduling massive HVACs is challenging due to computation complexity and the...

💬 0 commentsarXiv:2609.02408v1PDF
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Posted in eess.SP · 2026-09-02 · Muhammad Ismail, Syed Luqman Shah, Fazal Muhammad, Zeeshan Shafiq

Enhancing Vehicular Network Performance Through Integrated RSU and UAV Deployment

The increasing density of connected vehicles can place substantial pressure on fixed roadside infrastructure, particularly when the available communication resources become insufficient to accommodate temporary traffic surges. This paper investigates auxiliary unmanned aerial vehicle (UAV) assistance as a flexible mechanism for...

💬 0 commentsarXiv:2609.02305v1PDF
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Posted in eess.IV · 2026-09-02 · Jan Schnorrenberg, Jan Ernsting, Enrico Küllenberg, Tim Hahn, Benjamin Risse, Christian Thomas

Seeing Beyond the Lesion: Disease Recognition from Reactive CNS Tissue

Sampling error yields exclusively reactive, non-lesional brain parenchyma in a significant proportion of intracranial biopsies, leaving the underlying disease undiagnosed. We benchmark four pathology foundation models (UNI2-h, Virchow2, Prov-GigaPath, H-optimus-0) as frozen patch encoders within a shared attention-based...

💬 0 commentsarXiv:2609.02390v1PDF
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Posted in eess.SY · 2026-09-01 · Valentina Norambuena-Guzman, Cong Chen, Lang Tong, Timothy D. Mount

Optimal Uniform Pricing for Multi-Interval Dispatch without Make-Whole Uplifts

In a network with ramp-limited generators and inaccurate net-demand forecasts, practical rolling-window dispatch can drive locational marginal prices (LMPs) below generators' bid-in offers. In such cases, out-of-market (OOM) settlements are used to compensate generators and maintain dispatch-following incentives, but OOM can have...

💬 0 commentsarXiv:2609.00541v1PDF
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Posted in eess.SY · 2026-09-01 · Rafael Castillo-Sierra, Giri Venkataramanan, Dionisio Ramirez

Stability of Droop-Controlled Low-Frequency Transmission Lines

Low-Frequency AC (LFAC) transmission systems employing power converters are being considered for a varity of applications. This work studies the small-signal stability of an LFAC transmission line controlled by the Droop Control Strategy. Eigenvalue Analysis is used to determine how the controller droop gains, operating frequency,...

💬 0 commentsarXiv:2609.01571v1PDF
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Posted in eess.SP · 2026-09-01 · Nivedita Bijlani, Mauricio Villarroel

Trajectory Analysis of ECG Motif Dynamics in the Run-up to Sudden Cardiac Arrest

Early warning signatures of sudden cardiac arrest (SCA) remain poorly characterised in long-duration ECG. We quantified pre-event changes in ECG morphology using a motif-based trajectory framework. Holter ECGs from 23 patients with annotated SCA were analysed over non-overlapping 10 s windows. Window-level motifs were extracted to...

💬 0 commentsarXiv:2609.01543v1PDF
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Posted in eess.AS · 2026-09-01 · Yuhang Dai, Xin Shu, Zengxi Li, Lei Xie, Xiangang Li, Jianwei Yu

TAG-Bench: Benchmarking Temporal Audio Grounding in Large Audio Language Models

Large audio language models (LALMs) can describe what is heard, but their ability to localize when queried content occurs remains less systematically evaluated. We present TAG-Bench, a benchmark for temporal audio grounding in which a model returns every time interval that matches a natural-language query. TAG-Bench contains 1,750...

💬 0 commentsarXiv:2609.01542v1PDF
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Posted in eess.SP · 2026-09-01 · Rigobert Fokam Soup, Laurent Bitjoka

Signal-Aware Cayley Completion: Choosing Between an Exact and a Lossy Abelian Host

Group-embedding graph signal processing buys exact Fourier analysis either by enlarging the domain until a graph embeds isometrically into an abelian Cayley graph, or by perturbing the graph until it is one. We give a linear-time procedure that chooses between the two, and study the criterion governing the lossy branch. We prove that...

💬 0 commentsarXiv:2609.01523v1PDF
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Posted in eess.SY · 2026-09-01 · Airan Frances, Dionisio Ramirez, Javier Uceda

Blackbox Small-Signal Modeling of Grid-Connected Inverters in Asymmetrical Power Grids

Power electronic converters are envisaged to be key enablers of modern electric power distribution systems. Grid-connected three-phase inverters are widely used in Smart Grids and microgrids, but also in standard grids. They provide controllability and dynamic decoupling capabilities, which are fundamental in the integration of...

💬 0 commentsarXiv:2609.01411v1PDF