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🔍 peter g. doyle 📂 Engineering
Showing 1236 results for "peter g. doyle" in Engineering
Engineering Preprint PDF DOI

The Fragility of Learning LQG Controllers

Bruce D. Lee, Anastasios Tsiamis, Nikolai Matni, Manfred Morari, John Lygeros · 2026

Learning methods are increasingly used to synthesize controllers from data, yet existing sample-complexity characterizations for continuous control are sharp only in the fully observed setting. This p…

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Engineering Preprint PDF DOI

Generalizable Friction Coefficient Estimation via Material Embedding and Proxy Interaction Modeling

Zhendong Wang, Huamin Wang · 2026

Accurately estimating friction coefficients between arbitrary material pairs is critical for robotics, digital fabrication, and physics-based simulation, but exhaustive pairwise testing scales quadrat…

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Engineering Preprint PDF DOI

Integrated Lander-Propulsion-GNC Framework for Autonomous Lunar Powered Descent

Emre Aklan, Fatih Seker, Bekir Gencalioglu, Mehmet Batuhan Kaya, Yigit Serceoglu, Furkan Yavuz, Omer Burak Iskender, Burak Yaglioglu · 2026

This paper presents an integrated lander-propulsion-GNC framework for autonomous lunar powered descent. The BUG VTVL test vehicle serves as the reference platform, with the YUNT V0 throttleable biprop…

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Engineering Preprint PDF DOI

Scaling of Gaussian Kolmogorov--Arnold Networks

Amir Noorizadegan, Sifan Wang · 2026

The Gaussian scale parameter \(\epsilon\) is central to the behavior of Gaussian Kolmogorov--Arnold Networks (KANs), yet its role in deep edge-based architectures has not been studied systematically. …

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Engineering Preprint PDF DOI

A Systematic Review and Taxonomy of Reinforcement Learning-Model Predictive Control Integration for Linear Systems

Mohsen Jalaeian Farimani, Roya Khalili Amirabadi, Davoud Nikkhouy, Malihe Abdolbaghi, Mahshad Rastegarmoghaddam, Shima Samadzadeh · 2026

The integration of Model Predictive Control (MPC) and Reinforcement Learning (RL) has emerged as a promising paradigm for constrained decision-making and adaptive control. MPC offers structured optimi…

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Engineering Preprint PDF DOI

Sample entropy for graph signals: An approach to nonlinear analysis of graph signals

Mei-San Maggie Lei, John Stewart Fabila Carrasco, Javier Escudero · 2026

We introduce a graph-signal generalisation of Sample Entropy, denoted SampEn$_{G}$, to quantify irregularity of graph signals on a continuous state space, complementing existing methods on symbolic dy…

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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

Muscle-inspired magnetic actuators that push, pull, crawl, and grasp

Muhammad Bilal Khan, Florian Hofmann, Kilian Schafer, Matthias Lutzi, Oliver Gutfleisch · 2026

Functional magnetic composites capable of large deformation, load bearing, and multifunctional motion are essential for next-generation adaptive soft robots. Here, we present muscle-inspired magnetic …

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Engineering Preprint PDF DOI

Web-Gewu: A Browser-Based Interactive Playground for Robot Reinforcement Learning

Kaixuan Chen, Linqi Ye · 2026

With the rapid development of embodied intelligence, robotics education faces a dual challenge: high computational barriers and cumbersome environment configuration. Existing centralized cloud simulat…

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Engineering Preprint PDF DOI

A Reconfigurable Pneumatic Joint Enabling Localized Selective Stiffening and Shape Locking in Vine-Inspired Robots

Ayodele James Oyejide, Ustaz A. Yaqub, Samir Erturk, Eray A. Baran, Fabio Stroppa · 2026

Vine-inspired robots achieve large workspace coverage through tip eversion, enabling safe navigation in confined and cluttered environments. However, their deployment in free space is fundamentally li…

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Engineering Preprint PDF DOI

Comprehensive Review of Doppler Shift Localization Methods: Advances, Limitations, and Research Opportunities

Rafal Szczepanik · 2026

Reliable geolocation of non-cooperative emitters in environments where Global Navigation Satellite Systems (GNSS) are unavailable or degraded is a key enabler for spectrum regulation, emergency respon…

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Engineering Preprint PDF DOI

Stable Long-Horizon Neural ODE Reduced-Order Models via Learned Feedback for Biological Growth and Remodeling

Joel Laudo, Adrian Buganza Tepole · 2026

Reduced-order models (ROMs) are essential for rapid simulation of complex biomechanical systems and for bridging the gap between high fidelity models and clinical application. However, ROMs for tissue…

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Engineering Preprint PDF DOI

Optimal Decentralized Dynamic Energy Management over Asynchronous Peer-to-Peer Transactive Networks via Operator Splitting

Xi Zhang, Huqiang Cheng, Guo Chen, Huaqing Li, Liang Ran, Jinhui Hu, Tingwen Huang · 2026

Peer-to-peer (P2P) energy management facilitates decentralized resource allocation among prosumers, improving local hosting capacity for renewables and minimizing energy expenditures while ensuring da…

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Engineering Preprint PDF DOI

Digital Twin for Real-Time Security Assessment and Flexibility Activation in the Bornholm Distribution System

Anosh Arshad Sundhu, Aysegul Kahraman, Spyros Chatzivasileiadis · 2026

The increasing penetration of distributed energy resources (DERs) is transforming distribution networks into actively managed systems, introducing challenges related to voltage regulation, thermal loa…

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Engineering Preprint PDF DOI

Robotic Manipulation is Vision-to-Geometry Mapping ($f(v) \rightarrow G$): Vision-Geometry Backbones over Language and Video Models

Zijian Song, Qichang Li, Jiawei Zhou, Zhenlong Yuan, Tianshui Chen, Liang Lin, Guangrun Wang · 2026

At its core, robotic manipulation is a problem of vision-to-geometry mapping ($f(v) \rightarrow G$). Physical actions are fundamentally defined by geometric properties like 3D positions and spatial re…

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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

Responsive Distribution of G-normal Random Variables

Ziting Pei, Shige Peng, Xingye Yue, Xiaotao Zheng · 2026

A $G$-normal random variable $X\sim \mathcal{N}(0,[\underline{\sigma}^2,\overline{\sigma}^2])$ does not admit a unique probability law due to volatility uncertainty. For a given test function $\phi$, …

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Engineering Preprint PDF DOI

Quality-Aware Denoising of Ultra-Short TDoA Measurements for 5G-NR UAV Localization

Zexin Fang, Bin Han, Anjie Qiu, Zhuojun Tian, Hans D. Schotten · 2026

Reliable positioning is essential for Uncrewed Aerial Vehicles (UAVs) in safety-critical urban operations, yet achieving sub-meter accuracy under stringent latency constraints remains challenging. Whi…

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Engineering Preprint PDF DOI

G-AMC: A Green Automatic Modulation Classification Method

Chee-An Yu, Young-Kai Chen, C.-C. Jay Kuo · 2026

In this work, we propose an efficient and transparent green learning pipeline to address the automatic modulation classification (AMC) problem. This pipeline aims to enable receivers to blindly identi…

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Engineering Preprint PDF DOI

AnyImageNav: Any-View Geometry for Precise Last-Meter Image-Goal Navigation

Yijie Deng, Shuaihang Yuan, Yi Fang · 2026

Image Goal Navigation (ImageNav) is evaluated by a coarse success criterion, the agent must stop within 1m of the target, which is sufficient for finding objects but falls short for downstream tasks s…

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