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Showing 118 results for "bo jiang" in Engineering · Preprint
Engineering Preprint PDF DOI

CAR-EnKF: A Covariance-Adaptive and Recalibrated Ensemble Kalman Filter Framework

Shida Jiang, Shengyu Tao, Zihe Liu, Scott Moura · 2026

The ensemble Kalman filter (EnKF) is widely used for nonlinear and high-dimensional state estimation because it replaces complex covariance propagation with simple ensemble statistics. However, conven…

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Engineering Preprint PDF DOI

Reliable Online Resource Allocation for Multi-User Semantic Communications: A Constraint Bayesian Optimization Approach

Huawei Hou, Suzhi Bi, Xian Li, Haixia Zhang, Zhi Quan · 2026

Semantic communication has been increasingly integrated into edge computing systems for reconstruction tasks, owing to its advantages in source compression, robustness to channel noise, and task execu…

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Engineering Preprint PDF DOI

Design Guidelines for Nonlinear Kalman Filters via Covariance Compensation

Shida Jiang, Jaewoong Lee, Shengyu Tao, Scott Moura · 2026

Nonlinear extensions of the Kalman filter (KF), such as the extended Kalman filter (EKF) and the unscented Kalman filter (UKF), are indispensable for state estimation in complex dynamical systems, yet…

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Engineering Preprint PDF DOI

Computation-Accuracy Trade-Off in Service-Oriented Model-Based Control

Hazem Ibrahim, Julius Beerwerth, Lorenz Dorschel, Bassam Alrifaee · 2026

Representing a control system as a Service-Oriented Architecture (SOA)-referred to as Service-Oriented Model-Based Control (SOMC)-enables runtime-flexible composition of control loop elements. This pa…

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Engineering Preprint PDF DOI

Economic and Technical Feasibility of V2G in Non-Road Mobile Machinery sector

Ro{ss}ler Nicolas, Khan Irfan, Schade Thomas, Wellmann Christoph, Cao Xinyuan, Kopynske Milan, Xia Feihong, Savelsberg Rene, Andert Jakob · 2025

This paper investigates the economic and technical feasibility of integrating Vehicle-to-Grid (V2G) technology in the Non-Road Mobile Machinery (NRMM) sector. These often-idling assets, with their sub…

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Engineering Preprint PDF DOI

Rapid stabilization of the heat equation with localized disturbance

Patricio Guzman, Hugo Parada (SPHINX, IECL), Christian Calle-Cardenas · 2025

This paper studies the rapid stabilization of a multidimensional heat equation in the presence of an unknown spatially localized disturbance. A novel multivalued feedback control strategy is proposed,…

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Engineering Preprint PDF DOI

Iterative Tuning of Nonlinear Model Predictive Control for Robotic Manufacturing Tasks

Deepak Ingole, Valentin Bhend, Shiva Ganesh Murali, Oliver Dobrich, Alisa Rupenyan · 2025

Manufacturing processes are often perturbed by drifts in the environment and wear in the system, requiring control re-tuning even in the presence of repetitive operations. This paper presents an itera…

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Engineering Preprint PDF DOI

Bayesian Optimization Parameter Tuning Framework for a Lyapunov Based Path Following Controller

Zhewen Zheng, Wenjing Cao, Hongkang Yu, Mo Chen, Takashi Suzuki · 2025

Parameter tuning in real-world experiments is constrained by the limited evaluation budget available on hardware. The path-following controller studied in this paper reflects a typical situation in no…

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Engineering Preprint PDF DOI

Bayesian Optimization for Automatic Tuning of Torque-Level Nonlinear Model Predictive Control

Gabriele Fadini, Deepak Ingole, Tong Duy Son, Alisa Rupenyan · 2025

This paper presents an auto-tuning framework for torque-based Nonlinear Model Predictive Control (nMPC), where the MPC serves as a real-time controller for optimal joint torque commands. The MPC param…

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Engineering Preprint PDF DOI

How to Capture Human Preference: Commissioning of a Robotic Use-Case via Preferential Bayesian Optimisation

Sander De Witte, Jeroen Taets, Andras Retzler, Guillaume Crevecoeur, Tom Lefebvre · 2025

The popularity of Bayesian Optimization (BO) to automate or support the commissioning of engineering systems is rising. Conventional BO, however, relies on the availability of a scalar objective funct…

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Engineering Preprint PDF DOI

Bayesian Optimization for Non-Cooperative Game-Based Radio Resource Management

Yunchuan Zhang, Jiechen Chen, Junshuo Liu, Robert C. Qiu · 2025

Radio resource management in modern cellular networks often calls for the optimization of complex utility functions that are potentially conflicting between different base stations (BSs). Coordinating…

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Engineering Preprint PDF DOI

Utilizing Bayesian Optimization for Timetable-Independent Railway Junction Performance Determination

Tamme Emunds, Paul Brunzema, Sebastian Trimpe, Nils Nie{ss}en · 2025

The efficiency of railway infrastructure is significantly influenced by the mix of trains that utilize it, as different service types have competing operational requirements. While freight services mi…

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Engineering Preprint PDF DOI

RAISE: A self-driving laboratory for interfacial property formulation discovery

Mohammad Nazeri, Sheldon Mei, Jeffrey Watchorn, Alex Zhang, Erin Ng, Tao Wen, Abhijoy Mandal, Kevin Golovin, Alan Aspuru-Guzik, Frank Gu · 2025

Surface wettability is a critical design parameter for biomedical devices, coatings, and textiles. Contact angle measurements quantify liquid-surface interactions, which depend strongly on liquid form…

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Engineering Preprint PDF DOI

Model Predictive Control with Reference Learning for Soft Robotic Intracranial Pressure Waveform Modulation

Fabian Flurenbrock, Yanick Buchel, Johannes Kohler, Marianne Schmid Daners, Melanie N. Zeilinger · 2025

This paper introduces a learning-based control framework for a soft robotic actuator system designed to modulate intracranial pressure (ICP) waveforms, which is essential for studying cerebrospinal fl…

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Engineering Preprint PDF DOI

FARM: Frame-Accelerated Augmentation and Residual Mixture-of-Experts for Physics-Based High-Dynamic Humanoid Control

Tan Jing, Shiting Chen, Yangfan Li, Weisheng Xu, Renjing Xu · 2025

Unified physics-based humanoid controllers are pivotal for robotics and character animation, yet models that excel on gentle, everyday motions still stumble on explosive actions, hampering real-world …

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Engineering Preprint PDF DOI

InnerGS: Internal Scenes Reconstruction and Segmentation via Factorized 3D Gaussian Splatting

Shuxin Liang, Yihan Xiao, Wenlu Tang · 2025

3D Gaussian Splatting (3DGS) has recently gained popularity for efficient scene rendering by representing scenes as explicit sets of anisotropic 3D Gaussians. However, most existing work focuses prima…

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Engineering Preprint PDF DOI

A Hierarchical Surrogate Model for Efficient Multi-Task Parameter Learning in Closed-Loop Control

Sebastian Hirt, Lukas Theiner, Maik Pfefferkorn, Rolf Findeisen · 2025

Many control problems require repeated tuning and adaptation of controllers across distinct closed-loop tasks, where data efficiency and adaptability are critical. We propose a hierarchical Bayesian o…

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Engineering Preprint PDF DOI

Adaptive Learning for IRS-Assisted Wireless Networks: Securing Opportunistic Communications Against Byzantine Eavesdroppers

Amirhossein Taherpour, Abbas Taherpour, Tamer Khattab · 2025

We propose a joint learning framework for Byzantine-resilient spectrum sensing and secure intelligent reflecting surface (IRS)--assisted opportunistic access under channel state information (CSI) unce…

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Engineering Preprint PDF DOI

Bridging Farm Economics and Landscape Ecology for Global Sustainability through Hierarchical and Bayesian Optimization

Kevin Bradley Dsouza, Graham Alexander Watt, Yuri Leonenko, Juan Moreno-Cruz · 2025

Agricultural landscapes face the dual challenge of sustaining food production while reversing biodiversity loss. Agri-environmental policies often fall short of delivering ecological functions such as…

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Engineering Preprint PDF DOI

Bayesian Optimization applied for accelerated Virtual Validation of the Autonomous Driving Function

Satyesh Shanker Awasthi, Mohammed Irshadh Ismaaeel Sathyamangalam Imran, Stefano Arrigoni, Francesco Braghin · 2025

Rigorous Verification and Validation (V&V) of Autonomous Driving Functions (ADFs) is paramount for ensuring the safety and public acceptance of Autonomous Vehicles (AVs). Current validation relies hea…

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