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๐Ÿ” l. loukitch ๐Ÿ“‚ Engineering
Showing 735 results for "l. loukitch" in Engineering
Engineering Preprint PDF DOI

Spectral Boundary Observer for Counter-Flow Heat Exchangers

Mohamed Camil Belhadjoudja, Mohamed Maghenem, Emmanuel Witrant ยท 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 hotโ€ฆ

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Deep Learning-Enabled Dissolved Oxygen Sensing in Biofouling Environments for Ocean Monitoring

Nikolaos Salaris, Adrien Desjardins, Manish K. Tiwari ยท 2026

The escalating climate crisis and ecosystem degradation demand intelligent, low-cost sensors capable of robust, long-term monitoring in real-world environments. Absolute dissolved oxygen (DO) concentrโ€ฆ

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Engineering Preprint PDF DOI

Algebraic Diversity: Principles of a Group-Theoretic Approach to Signal Processing

Mitchell A. Thornton ยท 2026

We present principles of algebraic diversity (AD), a group-theoretic approach to signal processing exploiting signal symmetry to extract more information per observation, complementing classical methoโ€ฆ

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Engineering Preprint PDF DOI

Data-Driven Probabilistic Finite $\mathcal{L}_2$-Gain Stabilization of Stochastic Linear Systems

Yitao Yan, Shuangyu Han, Jie Bao, Biao Huang ยท 2026

In process operations, it is desirable to manage the sensitivity of the system output against external disturbance in the form of finite $\mathcal{L}_2$-gain stabilization. This matter is, however, noโ€ฆ

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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 ยท 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, $\Delta f$ โ€ฆ

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Engineering Preprint PDF DOI

Natural Gradient Gaussian Approximation Filter on Lie Groups for Robot State Estimation

Tianyi Zhang, Wenhan Cao, Chang Liu, Yao Lyu, Shengbo Eben Li ยท 2026

Accurate state estimation for robotic systems evolving on Lie group manifolds, such as legged robots, is a prerequisite for achieving agile control. However, this task is challenged by nonlinear obserโ€ฆ

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Engineering Preprint PDF DOI

Spectral Kernel Dynamics via Maximum Caliber: Fixed Points, Geodesics, and Phase Transitions

Jnaneshwar Das ยท 2026

We derive a closed-form geometric functional for kernel dynamics on finite graphs by applying the Maximum Caliber (MaxCal) variational principle to the spectral transfer function h(lambda) of the grapโ€ฆ

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Synthesizing Safety in Infinite-Horizon Optimal Control for Disturbed High-Relative-Degree Systems via Barrier-Regulating Auxiliary Variables

Zhanglin Shangguan, Wei Xiao, Qi Li, Bo Yang, Xinping Guan ยท 2026

Optimal stabilization of safety-critical nonlinear systems requires balancing long-term performance and strict safety constraints. Existing quadratic-programming-based control barrier function (CBF) sโ€ฆ

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Engineering Preprint PDF DOI

Measurement-Based Ultra-Massive MIMO Statistical Channel Characterization and System Performance Evaluation for UMi Environments at 15 GHz FR3 Spectrum

Panpan Shi, Yang Wang, Xi Liao, Tianhao Li, Jiliang Zhang, Jie Zhang ยท 2026

This paper presents a detailed measurement campaign and a comprehensive analysis of 15 GHz ultra-massive multiple-input multiple-output (UM-MIMO) channels tailored for the urban microcell (UMi) enviroโ€ฆ

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Decision-focused Conservation Voltage Reduction to Consider the Cascading Impact of Forecast Errors

Qintao Du, Ran Li, Weiyi Lv, Huan Zhou, Moduo Yu, Jianzhe Liu ยท 2026

Conservation Voltage Reduction (CVR) relies on the effective coordination of slow-acting devices, such as OLTCs and CBs, and fast-acting devices, such as SVGs and PV inverters, typically implemented tโ€ฆ

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From Perception to Autonomous Computational Modeling: A Multi-Agent Approach

Daniel N. Wilke ยท 2026

We present a solver-agnostic framework in which coordinated large language model (LLM) agents autonomously execute the complete computational mechanics workflow, from perceptual data of an engineeringโ€ฆ

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Engineering Preprint PDF DOI

A Wirtinger Power Flow Jacobian Singularity Condition for Voltage Stability in Converter-Rich Power Systems

Ahmed Mesfer Alkhudaydi, Bai Cui ยท 2026

The progression of modern power systems towards converter-rich operations calls for new models and analytics in steady-state voltage stability assessment. The classic modeling assumption of the generaโ€ฆ

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A Conditional Denoising Diffusion Probabilistic Model for RFI Mitigation in Synthetic Aperture Interferometric Radiometer

Yuankai Luo, Han Zhou, Jinlong Hao, Dong Zhu, Fei Hu ยท 2026

In Earth remote sensing, spatial-frequency domain visibility samples are inversely transformed into spatial-domain brightness temperature (BT) images through the signal processing pipeline of synthetiโ€ฆ

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Making Every Bit Count for $A$-Optimal State Estimation

Cameron Khanpour, Daniel Turizo, Samuel Talkington ยท 2026

We study the problem of controlling how a limited communication bandwidth budget is allocated across heterogeneously quantized sensor measurements. The performance criterion is the trace of the error โ€ฆ

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Dynamic Weight Optimization for Double Linear Policy: A Stochastic Model Predictive Control Approach

Tan Chin Hong, Chung-Han Hsieh ยท 2026

The Double Linear Policy (DLP) framework guarantees a Robust Positive Expectation (RPE) under optimized constant-weight designs or admissible prespecified time-varying policies. However, the sequentiaโ€ฆ

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Input-to-State Stability of Gradient Flows in Distributional Space

Guillem Pascual, Sonia Martinez ยท 2026

This paper proposes a new notion of distributional Input-to-State Stability (dISS) for dynamic systems evolving in probability spaces over a domain. Unlike other norm-based ISS concepts, we rely on thโ€ฆ

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Distributionally Robust Planning with $\mathcal{L}_1$ Adaptive Control

Astghik Hakobyan, Amaras Nazarians, Aditya Gahlawat, Naira Hovakimyan, Ilya Kolmanovsky ยท 2026

Safe operation of autonomous systems requires robustness to both model uncertainty and uncertainty in the environment. We propose DRP-$\mathcal{L}_1$AC, a hierarchical framework for stochastic nonlineโ€ฆ

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Emergent Neural Automaton Policies: Learning Symbolic Structure from Visuomotor Trajectories

Yiyuan Pan, Xusheng Luo, Hanjiang Hu, Peiqi Yu, Changliu Liu ยท 2026

Scaling robot learning to long-horizon tasks remains a formidable challenge. While end-to-end policies often lack the structural priors needed for effective long-term reasoning, traditional neuro-symbโ€ฆ

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Large Language Models as Optimization Controllers: Adaptive Continuation for SIMP Topology Optimization

Shaoliang Yang, Jun Wang, Yunsheng Wang ยท 2026

We present a framework in which a large language model (LLM) acts as an online adaptive controller for SIMP topology optimization, replacing conventional fixed-schedule continuation with real-time, stโ€ฆ

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L-UNet: An LSTM Network for Remote Sensing Image Change Detection

Shuting Sun, Lin Mu, Lizhe Wang, Peng Liu ยท 2026

Change detection of high-resolution remote sensing images is an important task in earth observation and was extensively investigated. Recently, deep learning has shown to be very successful in plenty โ€ฆ

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