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Engineering Preprint PDF DOI

Spectral Boundary Observer for Counter-Flow Heat Exchangers

Mohamed Camil Belhadjoudja, Mohamed Maghenem, Emmanuel Witrant · 2026

We consider a system of two coupled first-order linear hyperbolic partial differential equations modeling heat transport in a counter-flow heat exchanger: one equation describes the transport of a hot…

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Engineering Preprint PDF DOI

Sparse Graph Learning from Sparse Data via Fiedler Number Maximization

Bahar Oveisgharan, Gene Cheung, Andrew Eckford · 2026

We aim to learn a sparse and connected graph from sparse data, where the number of observations K can be substantially smaller than the signal dimension N for signals x in R^N, and the underlying dist…

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Engineering Preprint PDF DOI

Backstepping Observer for the Quasilinear Heat Equation with Linear Design Gains: Beyond Local Stability

Mohamed Camil Belhadjoudja, Kirsten A. Morris · 2026

We consider the one-dimensional quasilinear heat equation with state-dependent heat capacity and thermal conductivity, and design a boundary-output observer based on the backstepping design for a line…

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Engineering Preprint PDF DOI

Dynamic Coupling and Indirect Control of Jointed Robots Rolling Atop A Moving Platform

Hamidreza Moradi, Scott David Kelly · 2026

An asymmetric two-link robot supported atop a flat platform by wheels that roll and pivot freely, but do not slip laterally, will develop forward momentum if the joint between the links is actuated in…

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Engineering Preprint PDF DOI

Event-Triggered Distributed Target Tracking via PRIMEX

Yuxuan Xia, Kuo-Chu Chang, Xueqi Qiu, Lin Gao, Chaoqun Yang, Ting Yuan · 2026

PRIMEX (prime-based graph encoding and extraction) is a recently proposed framework for scalable distributed fusion. In PRIMEX, the information pedigree of state estimates or probability density funct…

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Engineering Preprint PDF DOI

Joint Scheduling of Multi-Band Radar Sensing and DNN Inference for Cross-Stage Parallelism

Yanan Du, Sai Xu, Kezhi Wang, Yansha Deng · 2026

This paper studies end-to-end latency minimization for a multi-band radar sensing and deep neural network (DNN) inference pipeline. Unlike conventional stage-wise designs that treat radar sensing and …

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Engineering Preprint PDF DOI

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

Phunyapa Suksomboon, Paulo Garcia · 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.…

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Engineering Preprint PDF DOI

Graph Theoretical Outlier Rejection for 4D Radar Registration in Feature-Poor Environments

Georg Dorndorf, Daniel Adolfsson, Masrur Doostdar · 2026

Automotive 4D imaging radar is well suited for operation in dusty and low-visibility environments, but scan registration remains challenging due to scan sparsity and spurious detections caused by nois…

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Engineering Preprint PDF DOI

Robust Energy-Aware Routing for Air-Ground Cooperative Multi-UAV Delivery in Wind-Uncertain Environments

Tianshun Li, Hongliang Lu, Yanggang Sheng, Zhongzhen Wang, Haoang Li, Xinhu Zheng · 2026

Ensuring energy feasibility under wind uncertainty is critical for the safety and reliability of UAV delivery missions. In realistic truck-drone logistics systems, UAVs must deliver parcels and safely…

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Engineering Preprint PDF DOI

An AI-Ready Pipeline for Impedance-Resolved QCM Biosensor: Interpretable Line-Shape Features, Redundancy Control, and Robust Regression

Ceyhun Kirimli, Elcim Elgun, Yagmur Tugtag · 2026

Accurate inference from quartz crystal microbalance (QCM) measurements in liquids is often limited by reducing resonance behavior to two scalar endpoints (frequency and dissipation shifts, $\Delta f$ …

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Engineering Preprint PDF DOI

Olfactory pursuit: catching a moving odor source in complex flows

Maurizio Carbone, Lorenzo Piro, Robin A. Heinonen, Luca Biferale, Massimo Cencini, Antonio Celani · 2026

Locating and intercepting a moving target from possibly delayed, intermittent sensory signals is a paradigmatic problem in decision-making under uncertainty, and a fundamental challenge for, e.g., ani…

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Engineering Preprint PDF DOI

Stream-Adaptive Quantization and Power Allocation in Fronthaul-Constrained MIMO Systems

Ozlem Tugfe Demir, Emil Bjornson · 2026

Many wireless systems divide the baseband processing between two locations, interconnected by a fronthaul. This paper examines the impact of fronthaul quantization on multiple-input multiple-output (M…

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Engineering Preprint PDF DOI

Accelerating Reinforcement Learning for Wind Farm Control via Expert Demonstrations

Marcus Binder Nilsen, Julian Quick, Tuhfe Gocmen, Nikolay Dimitrov, Pierre-Elouan Rethore · 2026

Reinforcement learning (RL) offers a promising approach for adaptive wind farm flow control, yet its practical deployment is hindered by slow training convergence and poor initial performance, factors…

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Engineering Preprint PDF DOI

3D-Anchored Lookahead Planning for Persistent Robotic Scene Memory via World-Model-Based MCTS

Bronislav Sidik, Dror Mizrahi · 2026

We present 3D-Anchored Lookahead Planning (3D-ALP), a System 2 reasoning engine for robotic manipulation that combines Monte Carlo Tree Search (MCTS) with a 3D-consistent world model as the rollout or…

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Engineering Preprint PDF DOI

Modeling, Analysis and Activation of Planar Viscoelastically-combined Rimless Wheels

Fumihiko Asano, Yuxuan Xiang, Yanqiu Zheng, Cong Yan · 2026

This paper proposes novel passive-dynamic walkers formed by two cross-shaped frames and eight viscoelastic elements. Since it is a combination of two four-legged rimless wheels via viscoelastic elemen…

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Engineering Preprint PDF DOI

Semantic-Aware UAV Command and Control for Efficient IoT Data Collection

Assane Sankara, Daniel Bonilla Licea, Hajar El Hammouti · 2026

Unmanned Aerial Vehicles (UAVs) have emerged as a key enabler technology for data collection from Internet of Things (IoT) devices. However, effective data collection is challenged by resource constra…

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Engineering Preprint PDF DOI

A unifying view of contrastive learning, importance sampling, and bridge sampling for energy-based models

Luca Martino · 2026

In the last decades, energy-based models (EBMs) have become an important class of probabilistic models in which a component of the likelihood is intractable and therefore cannot be evaluated explicitl…

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Engineering Preprint PDF DOI

Robust Nonlinear System Identification in Reproducing Kernel Hilbert Spaces via Scenario Optimization

Jannis Lubsen, Annika Eichler · 2026

This paper proposes a method for constructing one-step prediction tubes for nonlinear systems using reproducing kernel Hilbert spaces. We approximate a bounded reproducing kernel Hilbert space (RKHS) …

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Engineering Preprint PDF DOI

Why Invariance is Not Enough for Biomedical Domain Generalization and How to Fix It

Sebo Diaz, Polina Golland, Elfar Adalsteinsson, Neel Dey · 2026

We present DropGen, a simple and theoretically-grounded approach for domain generalization in 3D biomedical image segmentation. Modern segmentation models degrade sharply under shifts in modality, dis…

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Engineering Preprint PDF DOI

RIS-Assisted Joint Resource Allocation for 6G FR3 IoT Networks

Muddasir Rahim, Irfan Azam, Soumaya Cherkaoui · 2026

In sixth-generation (6G) networks, the deployment of large numbers of Internet of Things (IoT) users (IU) necessitates efficient resource utilization and reliable connectivity, making resource allocat…

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