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🔍 michael l. klein 📂 Engineering
Showing 746 results for "michael l. klein" in Engineering
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

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

Nikolaos Salaris, Adrien Desjardins, Manish K. Tiwari · 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) concentr…

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Engineering Preprint PDF DOI

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

Mitchell A. Thornton · 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 metho…

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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 · 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, no…

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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

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

Tianyi Zhang, Wenhan Cao, Chang Liu, Yao Lyu, Shengbo Eben Li · 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 obser…

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Engineering Preprint PDF DOI

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

Jnaneshwar Das · 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 grap…

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Engineering Preprint PDF DOI

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 · 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) s…

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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 · 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) enviro…

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Engineering Preprint PDF DOI

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 · 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 t…

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Engineering Preprint PDF DOI

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

Daniel N. Wilke · 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 engineering…

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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 · 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 genera…

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Engineering Preprint PDF DOI

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

Yuankai Luo, Han Zhou, Jinlong Hao, Dong Zhu, Fei Hu · 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 syntheti…

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Engineering Preprint PDF DOI

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

Cameron Khanpour, Daniel Turizo, Samuel Talkington · 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 …

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Engineering Preprint PDF DOI

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

Tan Chin Hong, Chung-Han Hsieh · 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 sequentia…

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Engineering Preprint PDF DOI

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

Guillem Pascual, Sonia Martinez · 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 th…

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Engineering Preprint PDF DOI

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

Astghik Hakobyan, Amaras Nazarians, Aditya Gahlawat, Naira Hovakimyan, Ilya Kolmanovsky · 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 nonline…

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Engineering Preprint PDF DOI

Emergent Neural Automaton Policies: Learning Symbolic Structure from Visuomotor Trajectories

Yiyuan Pan, Xusheng Luo, Hanjiang Hu, Peiqi Yu, Changliu Liu · 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-symb…

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Engineering Preprint PDF DOI

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

Shaoliang Yang, Jun Wang, Yunsheng Wang · 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, st…

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Engineering Preprint PDF DOI

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

Shuting Sun, Lin Mu, Lizhe Wang, Peng Liu · 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 …

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