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๐Ÿ” jie yang ๐Ÿ“‚ Engineering
Showing 373 results for "jie yang" in Engineering
Engineering Preprint PDF DOI

Extracting Exact Lie Derivatives Without Backpropagation: A Dual Compiler for Neural Control Barrier Functions

Mohammadreza Kamaldar ยท 2026

Deploying neural-network control barrier functions (CBFs) on embedded hardware requires evaluating the barrier value and its Lie derivatives along the system vector fields at every control cycle. The โ€ฆ

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Engineering Preprint PDF DOI

Closed-Form Characterization of Constrained Double-Integrator Optimal Control

Filippos N. Tzortzoglou, Logan E. Beaver, Andreas A. Malikopoulos ยท 2026

We consider the energy-optimal control problem for double-integrator systems subject to state and control constraints, with fixed terminal time and free terminal speed. When the constraints become actโ€ฆ

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Engineering Preprint PDF DOI

Complementarity by Construction: A Lie-Group Approach to Solving Quadratic Programs with Linear Complementarity Constraints

Arun L. Bishop, Micah I. Reich, Zachary Manchester ยท 2026

Many problems in robotics require reasoning over a mix of continuous dynamics and discrete events, such as making and breaking contact in manipulation and locomotion. These problems are locally well mโ€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

How Sensor Attacks Transfer Across Lie Groups

Rijad Alisic, Saurabh Amin ยท 2026

Sensor spoofing analysis in cyber-physical systems is predominantly confined to linear state spaces, where attack transferability is trivial. On Lie groups, however, the noncommutativity of the dynamiโ€ฆ

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Engineering Preprint PDF DOI

Neural Robust Control on Lie Groups Using Contraction Methods (Extended Version)

Yi Lok Lo, Longhao Qian, Hugh H.T. Liu ยท 2026

In this paper, we propose a learning framework for synthesizing a robust controller for dynamical systems evolving on a Lie group. A robust control contraction metric (RCCM) and a neural feedback contโ€ฆ

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Engineering Preprint PDF DOI

A Distributed SOS Program For Local Stability Analysis of Polynomial PDEs in the PIE Representation

Carl R Richardson, Declan S Jagt, Matthew M Peet, Antonis Papachristodoulou ยท 2026

It has recently been shown that the evolution of a state, described by a Partial Differential Equation (PDE), can be more conveniently represented as the evolution of the state's highest spatial derivโ€ฆ

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Engineering Preprint PDF DOI

Learning Certified Neural Network Controllers Using Contraction and Interval Analysis

Akash Harapanahalli, Samuel Coogan, Alexander Davydov ยท 2026

We present a novel framework that jointly trains a neural network controller and a neural Riemannian metric with rigorous closed-loop contraction guarantees using formal bound propagation. Directly boโ€ฆ

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Engineering Preprint PDF DOI

Efficient compressive sensing for machinery vibration signals

Imen Tounsi (UJM, LASPI), Fadi Karkafi, Mohammed El Badaoui (UJM, LASPI), Francois Guillet (UJM, LASPI) ยท 2026

Mechanical vibration monitoring often requires high sampling rates and generates large data volumes, posing challenges for storage, transmission, and power efficiency. Compressive Sensing (CS) offers โ€ฆ

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Engineering Preprint PDF DOI

Feedback Control of a Recirculating Bioreactor with Electrophoretic Removal of Inhibitory Extracellular DNA

Antonio Spallone, Davide Fiore, Fabrizio Carteni, Mario di Bernardo ยท 2026

Extracellular DNA accumulation in recirculating bioprocesses inhibits microbial growth and reduces productivity. We consider a continuous bioreactor with a recirculating loop and an electrophoretic fiโ€ฆ

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Engineering Preprint PDF DOI

PowerDAG: Reliable Agentic AI System for Automating Distribution Grid Analysis

Emmanuel O. Badmus, Amritanshu Pandey ยท 2026

This paper introduces PowerDAG, an agentic AI system for automating complex distribution-grid analysis. We address the reliability challenges of state-of-the-art agentic systems in automating complex โ€ฆ

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Engineering Preprint PDF DOI

A General Lie-Group Framework for Continuum Soft Robot Modeling

Lingxiao Xun, Benoit Rosa, Jerome Szewczyk, Brahim Tamadazte ยท 2026

This paper introduces a general Lie group framework for modeling continuum soft robots, employing Cosserat rod theory combined with cumulative parameterization on the Lie group SE(3). This novel approโ€ฆ

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Engineering Preprint PDF DOI

Tutorial on Aided Inertial Navigation Systems: A Modern Treatment Using Lie-Group Theoretical Methods

Soulaimane Berkane ยท 2026

This tutorial presents a control-oriented introduction to aided inertial navigation systems using a Lie-group formulation centered on the extended Special Euclidean group SE_2(3). The focus is on deveโ€ฆ

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Engineering Preprint PDF DOI

Curve-Induced Dynamical Systems on Riemannian Manifolds and Lie Groups

Saray Bakker, Martin Schonger, Tobias Low, Javier Alonso-Mora, Sylvain Calinon ยท 2026

Deploying robots in household environments requires safe, adaptable, and interpretable behaviors that respect the geometric structure of tasks. Often represented on Lie groups and Riemannian manifoldsโ€ฆ

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Engineering Preprint PDF DOI

Constructive Vector Fields for Path Following in Fully-Actuated Systems on Matrix Lie Groups

Felipe Bartelt, Vinicius M. Goncalves, Luciano C. A. Pimenta ยท 2026

This paper presents a novel vector field strategy for controlling fully-actuated systems on connected matrix Lie groups, ensuring convergence to and traversal along a curve defined on the group. Our aโ€ฆ

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Engineering Preprint PDF DOI

Distributed and Consistent Multi-Robot Visual-Inertial-Ranging Odometry on Lie Groups

Ziwei Kang, Yizhi Zhou ยท 2026

Reliable localization is a fundamental requirement for multi-robot systems operating in GPS-denied environments. Visual-inertial odometry (VIO) provides lightweight and accurate motion estimation but โ€ฆ

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Engineering Preprint PDF DOI

Lie Group Variational Integrator for the Geometrically Exact Rod with Circular Cross-Section Incorporating Cross-Sectional Deformation

Srishti Siddharth, Vivek Natarajan, Ravi N. Banavar ยท 2026

In this paper, we derive the continuous space-time equations of motion of a three-dimensional geometrically exact rod, or the Cosserat rod, incorporating planar cross-sectional deformation. We then adโ€ฆ

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Engineering Preprint PDF DOI

Analysis of Edge Mismatch and Output Power Degradation in Cascoded Class-D Power Amplifiers Using Dual-Range Voltage Level Shifters

Behdad Jamadi, Meysam Sohani Darban, Jeffrey S. Walling ยท 2026

This paper presents a low-jitter hybrid voltage level shifter (HVLS) suitable for high-speed applications. The proposed architecture offers the advantage of cross-coupled feedback to simultaneously geโ€ฆ

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Engineering Preprint PDF DOI

Realistic Synthetic Household Data Generation at Scale

Siddharth Singh, Ifrah Idrees, Abraham Dauhajre ยท 2026

Advancements in foundation models have catalyzed research in Embodied AI to develop interactive agents capable of environmental reasoning and interaction. Developing such agents requires diverse, largโ€ฆ

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Engineering Preprint PDF DOI

Hybrid-Field Joint Channel and Visible Region Estimation for RIS-Assisted Communications

Xiaokun Tuo, Ming-Min Zhao, Xiang Wang, Changsheng You, Min-Jian Zhao ยท 2026

In reconfigurable intelligent surface (RIS)-assisted millimeter-wave (mmWave) communication systems, the large-scale RIS introduces pronounced geometric effects that lead to the coexistence of far-fieโ€ฆ

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