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🔍 chao chen 📂 Engineering 📄 Preprint
Showing 552 results for "chao chen" in Engineering · Preprint
Engineering Preprint PDF DOI

Feedback Linearization of Hyperbolic PDEs with Volterra Nonlinearities

Miroslav Krstic · 2026

Alberto Isidori's framework of geometric nonlinear control, and particularly of feedback linearization, is the inspiration behind PDE backstepping: apply a transfromation of the state to cast the plan…

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Engineering Preprint PDF DOI

Move-Then-Operate: Behavioral Phasing for Human-Like Robotic Manipulation

Haoming Xu, Lei Lei, Jie Gu, Chu Tang, Jingmin Chen, Ruiqi Wang · 2026

We present Move-Then-Operate, a Vision language action framework that explicitly decouples robotic manipulation into two distinct behavioral phases: coarse relocation (move) and contact-critical inter…

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Engineering Preprint PDF DOI

When AI Meets Terahertz: A Survey on the Symbiosis of Artificial Intelligence and Terahertz Networks

Chong Han, Jingting Jiang, Zhengdong Hu, Meixia Tao, Wenjun Zhang · 2026

The Terahertz (THz) band (0.1-10 THz) has emerged as a critical frontier for future communication systems, offering ultra-wide bandwidths that enable Terabits-per-second (Tbps) wireless links and high…

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Engineering Preprint PDF DOI

Chaos-Enhanced Prototypical Networks for Few-Shot Medical Image Classification

Chinthakuntla Meghan Sai, Murarisetty V Sai Kartheek, Sita Devi Bharatula, Karthik Seemakurthy · 2026

The scarcity of labeled clinical data in oncology makes Few-Shot Learning (FSL) a critical framework for Computer Aided Diagnostics, but we observed that standard Prototypical Networks often struggle …

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Engineering Preprint PDF DOI

Chain Of Interaction Benchmark (COIN): When Reasoning meets Embodied Interaction

Xianhao Wang, Xiaojian Ma, Haozhe Hu, Rongpeng Su, Yutian Cheng, Zhou Ziheng, Hangxin Liu, Lei Liu, Bin Li, Qing Li · 2026

Generalist embodied agents must perform interactive, causally-dependent reasoning, continually interacting with the environment, acquiring information, and updating plans to solve long-horizon tasks b…

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Engineering Preprint PDF DOI

When structure does not imply symmetry

Skyler R. St. Pierre, Thibault Vervenne, Ethan C. Darwin, Ellen Kuhl · 2026

Fungal protein materials exhibit inherently anisotropic microstructures formed by networks of hyphae, which suggest a natural pathway to replicate the fibrous texture of animal meat. We probe whether …

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Engineering Preprint PDF DOI

Switch: Learning Agile Skills Switching for Humanoid Robots

Yuen-Fui Lau, Qihan Zhao, Yinhuai Wang, Runyi Yu, Hok Wai Tsui, Qifeng Chen, Ping Tan · 2026

Recent advancements in whole-body control through deep reinforcement learning have enabled humanoid robots to achieve remarkable progress in real-world chal lenging locomotion skills. However, existin…

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Engineering Preprint PDF DOI

Exploiting Scheduling Flexibility via State-Based Scheduling When Guaranteeing Worst-Case Services

Yike Xu, Mark S. Andersland · 2026

Even when providing long-run, worst-case guarantees to competing flows of unit-sized tasks, a slot-timed, constant-capacity server's scheduler may retain significant, short-run, scheduling flexibility…

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Engineering Preprint PDF DOI

Nonlinear Stochastic Model Predictive Control with Generative Uncertainty in Homogeneous Charge Compression Ignition

Xu Chen, Kevin Kluge, Maximilian Basler, Lorenz Dorschel, Heike Vallery · 2026

This work addresses the challenge of ignition timing and load control in homogeneous charge compression ignition engines operating subject to uncertainty from complex combustion dynamics and external …

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Engineering Preprint PDF DOI

When Altruism Meets Autonomy: Managing Bottleneck Congestion with Strategic Autonomous Vehicles

Kexin Wang, Haohui He, Ruolin Li · 2026

Weaving ramps are critical bottlenecks in highway networks due to conflicting traffic flows and complex interactions among heterogeneous vehicle types. In mixed-autonomy settings, the presence of cont…

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Engineering Preprint PDF DOI

What Happens When Institutional Liquidity Enters Prediction Markets: Identification, Measurement, and a Synthetic Proof of Concept

Shaw Dalen · 2026

Prediction markets are starting to look less like crowd polls and more like electronic markets. The central question is therefore no longer only whether these markets forecast well, but what happens w…

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Engineering Preprint PDF DOI

Search-MIND: Training-Free Multi-Modal Medical Image Registration

Boya Wang, Ruizhe Li, Chao Chen, Xin Chen · 2026

Multi-modal image registration plays a critical role in precision medicine but faces challenges from non-linear intensity relationships and local optima. While deep learning models enable rapid infere…

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Engineering Preprint PDF DOI

When Market Prices Drive the Load: Modeling, Grid-Security Analysis, and Mitigation of Data Center Workload Scheduling

Shijie Pan, Zaint A. Alexakis, Charalambos Konstantinou · 2026

Data centers (DCs) are emerging as large, geographically distributed, controllable loads whose participation in electricity markets can significantly affect grid operation, especially when cloud platf…

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Engineering Preprint PDF DOI

When Agent Markets Arrive

Xuan Liu, Haoyang Shang, Haojian Jin · 2026

AI agents are increasingly transacting on behalf of users -- delegating tasks, spending budgets, and negotiating with unfamiliar counterparties. From skill marketplaces to agent-only bazaars, the econ…

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Engineering Preprint PDF DOI

Hyperfastrl: Hypernetwork-based reinforcement learning for unified control of parametric chaotic PDEs

Anil Sapkota, Omer San · 2026

Spatiotemporal chaos in fluid systems exhibits severe parametric sensitivity, rendering classical adjoint-based optimal control intractable because each operating regime requires recomputing the contr…

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Engineering Preprint PDF DOI

Learning When to See and When to Feel: Adaptive Vision-Torque Fusion for Contact-Aware Manipulation

Jiuzhou Lei, Chang Liu, Yu She, Xiao Liang, Minghui Zheng · 2026

Vision-based policies have achieved a good performance in robotic manipulation due to the accessibility and richness of visual observations. However, purely visual sensing becomes insufficient in cont…

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Engineering Preprint PDF DOI

Polynomial Parametric Koopman Operators for Stochastic MPC

Efstathios Iliakis, Wallace Gian Yion Tan, Liang Wu, Jan Drgona, Richard D. Braatz · 2026

This paper develops a parametric Koopman operator framework for Stochastic Model Predictive Control (SMPC), where the Koopman operator is parametrized by Polynomial Chaos Expansions (PCEs). The model …

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Engineering Preprint PDF DOI

Physics-Enforced Neural Ordinary Differential Equation for Chemical Kinetics Optimization in Reaction-Diffusion Systems

Feixue Cai, Hua Zhou, Zhuyin Ren · 2026

Calibrating chemical kinetics in a reaction-diffusion system is challenging because of complex dynamics governed by tightly coupled chemistry and transport, while experimental observations are often s…

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Engineering Preprint PDF DOI

LQR for Systems with Probabilistic Parametric Uncertainties: A Gradient Method

Leilei Cui, Richard D. Braatz · 2026

A gradient-based method is proposed for solving the linear quadratic regulator (LQR) problem for linear systems with nonlinear dependence on time-invariant probabilistic parametric uncertainties. The …

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Engineering Preprint PDF DOI

Flow-based Polynomial Chaos Expansion for Uncertainty Quantification in Power System Dynamic Simulation

Le Fang, Wangkun Xu, Fei Teng · 2026

The large-scale integration of renewable energy sources introduces significant operational uncertainty into power systems. Although Polynomial Chaos Expansion (PCE) provides an efficient tool for unce…

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