Dongmei Chen

A review of drilling vibration control strategies: Modeling, tools, applications, and future directions

Yifan Zhang, Pradeepkumar Ashok, Hao Fu, Dongmei Chen et autres

Drillstring vibrations (axial, torsional, and lateral vibrations) occurring at various frequencies can significantly impact drilling performance and drilling equipment lifespan. Controlling excessive and (self-)sustained vibrations has become more challenging with increasing well depth and complexity. These vibrations primarily arise from the dynamic …

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An LLM-assisted multi-agent control framework for roll-to-roll manufacturing systems

Jiachen Li, Shihao Li, Christopher Martin, Zijun Chen et autres

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${{\mathcal{H}}_{\infty} }$ Performance Analysis for Almost Periodic Piecewise Linear Systems With Application to Roll-to-Roll Manufacturing Control

Edward Jae-Hoon Kim, Enrique Isaza Velásquez, Wei Li, Dongmei Chen

An almost periodic piecewise linear system (APPLS) is a type of piecewise linear system where the system cyclically switches between different modes, each with an uncertain but bounded dwell-time. Process regulation, especially disturbance rejection, is critical to the performance of these advanced …

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Taking the Next Step in Hard-Rock Geothermal Drilling Optimization: Understanding and Mitigating High-Frequency Torsional Oscillations (HFTOs)

Yifan Zhang, Isaac Xu, Asad Safarov, Umesh Prasad et autres

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DM-MPPI: Datamodel for Efficient and Safe Model Path Integral Control

Jiachen Li, Dongmei Chen

We extend the Datamodels framework from supervised learning to Model Predictive Path Integral (MPPI) control. Whereas Datamodels estimate sample influence via regression on a fixed dataset, we instead learn to predict influence directly from sample cost features, enabling real-time estimation for newly …

An LLM-Assisted Multi-Agent Control Framework for Roll-to-Roll Manufacturing Systems

Jiachen Li, Shihao Li, Christopher Martin, Zijun Chen et autres

Roll-to-roll manufacturing requires precise tension and velocity control to ensure product quality, yet controller commissioning and adaptation remain time-intensive processes dependent on expert knowledge. This paper presents an LLM-assisted multi-agent framework that automates control system design and adaptation for R2R systems while …

Algorithm-Relative Trajectory Valuation in Policy Gradient Control

Shihao Li, Jiachen Li, Jiamin Xu, Christopher A. Martin et autres

We study how trajectory value depends on the learning algorithm in policy-gradient control. Using Trajectory Shapley in an uncertain LQR, we find a negative correlation between Persistence of Excitation (PE) and marginal value under vanilla REINFORCE ($r\approx-0.38$). We prove a variance-mediated mechanism: …

Real time multi-inputs multi-outputs economic model predictive control for directional drilling based on fast modeling and sensor fusion

Jiamin Xu, Nazli Demirer, Vy Pho, Kaixiao Tian et autres

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FPGA-based Mb2DKDNet for field disease and pest diagnosis

Dongmei Chen, Dayang Li, Jingwen Zheng, Yulin Cai et autres

• Proposed Mb2DKDNet model for intelligent diagnosis of rice pests and diseases in the field. • Constructed MIRD dataset covering diverse regions and rice growth stages. • Deployed on FPGA to enable efficient real-time diagnosis in agricultural machinery. • Achieved 98.07 % …

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Trajectory-Optimized Density Control with Flow Matching

Xu Duan, Dongmei Chen

Optimal transport (OT) and Schr{ö}dinger bridge (SB) problems have emerged as powerful frameworks for transferring probability distributions with minimal cost. However, existing approaches typically focus on endpoint matching while neglecting critical path-dependent properties -- particularly collision avoidance in multiagent systems -- which …

Integration of MPD with Managed Temperature Drilling (MTD) for Geothermal and HPHT Drilling

Xu Duan, Yifan Zhang, Pradeepkumar Ashok, Dongmei Chen et autres

Abstract Managed Pressure Drilling (MPD) enhances drilling efficiency and safety by enabling precise control of wellbore pressure. However, in the drilling of high-pressure-high-temperature (HPHT) and geothermal wells, downhole tool failure due to elevated temperatures necessitates active and efficient management of downhole temperature. …

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Sequential Quadratic Programming Iterative Learning Control for a Roll-to-Roll Manufacturing Process

Christopher Martin, Wei Li, Dongmei Chen

Abstract Roll-to-roll (R2R) mechanical dry transfer is an enabling technology for high-throughput, environmentally friendly fabrication of advanced thin-film devices. However, precise control is required to ensure high-quality transfer, presenting a significant challenge due to nonlinear peeling dynamics, abrupt material property changes, and …

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