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๐Ÿ” peter belcak ๐Ÿ“‚ Engineering
Showing 1674 results for "peter belcak" in Engineering
Engineering Preprint PDF DOI

PM-EKF: A Physiological Model-Based Extended Kalman Filter for Daily-Life Physical Activity Energy Expenditure Estimation

Shuhao Que, Remco Poelarends, Valentina Breschi, Ying Wang ยท 2026

Monitoring physical activity energy expenditure (PAEE) in daily life is essential for characterizing individual health and metabolic status. Although indirect calorimetry provides gold-standard PAEE mโ€ฆ

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Engineering Preprint PDF DOI

AsyncShield: A Plug-and-Play Edge Adapter for Asynchronous Cloud-based VLA Navigation

Kai Yang, Zedong Chu, Yingnan Guo, Zhengbo Wang, Shichao Xie, Yanfen Shen, Xiaolong Wu, Xing Li, Mu Xu ยท 2026

While Vision-Language-Action (VLA) models have been demonstrated possessing strong zero-shot generalization for robot control, their massive parameter sizes typically necessitate cloud-based deploymenโ€ฆ

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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 ยท 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 bipropโ€ฆ

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Engineering Preprint PDF DOI

Learning Control Policies to Provably Satisfy Hard Affine Constraints for Black-Box Hybrid Dynamical Systems

Aayushi Shrivastava, Kartik Nagpal, Sairam Jinkala, Jean-Baptiste Bouvier, Negar Mehr ยท 2026

Ensuring safety for black-box hybrid dynamical systems presents significant challenges due to their instantaneous state jumps and unknown explicit nonlinear dynamics. Existing solutions for strict safโ€ฆ

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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 ยท 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 optimiโ€ฆ

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Engineering Preprint PDF DOI

Predicting food taste with bound-driven optimization

Pagkratis Tagkopoulos, Dimitris Sfondilis, Ilias Tagkopoulos, Tarek Zohdi ยท 2026

The prediction of sensory attributes from ingredient-level formulations is an emerging challenge at the intersection of food science and artificial intelligence. We address the fundamental question ofโ€ฆ

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Engineering Preprint PDF DOI

Safety-Critical Contextual Control via Online Riemannian Optimization with World Models

Tongxin Li ยท 2026

Modern world models are becoming too complex to admit explicit dynamical descriptions. We study safety-critical contextual control, where a Planner must optimize a task objective using only feasibilitโ€ฆ

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Engineering Preprint PDF DOI

Differentiable Satellite Constellation Configuration via Relaxed Coverage and Revisit Objectives

Shreeyam Kacker, Kerri Cahoy ยท 2026

Satellite constellation design requires optimizing orbital parameters across multiple satellites to maximize mission specific metrics. For many types of mission, it is desirable to maximize coverage aโ€ฆ

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Engineering Preprint PDF DOI

ExplainS2A: Explainable Spectral-Spatial Duality Model for Fast Transforming Sentinel-2 Image to AVIRIS-Level Hyperspectral Image

Chia-Hsiang Lin, Zi-Chao Leng ยท 2026

Mainstream optical satellites often acquire multispectral multi-resolution images, which have limited material identifiability compared to the HSIs. Thus, spectrally super-resolving the MSI into theirโ€ฆ

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Engineering Preprint PDF DOI

EvoMarket: A High-Fidelity and Scalable Financial Market Simulator

Muyao Zhong, Zhenhua Yang, Yuxiang Liu, Ke Tang, Peng Yang ยท 2026

High-fidelity, scalable market simulation is a key instrument for mechanism evaluation, stress testing, and counterfactual policy analysis. Yet existing simulators rarely achieve \emph{mechanism fidelโ€ฆ

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Engineering Preprint PDF DOI

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

Kaixuan Chen, Linqi Ye ยท 2026

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

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Engineering Preprint PDF DOI

Decoupling Identity from Utility: Privacy-by-Design Frameworks for Financial Ecosystems

Ifayoyinsola Ibikunle, Tyler Farnan, Senthil Kumar, Mayana Pereira ยท 2026

Financial institutions face tension between maximizing data utility and mitigating the re-identification risks inherent in traditional anonymization methods. This paper explores Differentially Privateโ€ฆ

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Engineering Preprint PDF DOI

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

Rafal Szczepanik ยท 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 responโ€ฆ

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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 ยท 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 daโ€ฆ

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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 ยท 2026

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

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Engineering Preprint PDF DOI

Synthesis and Deployment of Maximal Robust Control Barrier Functions through Adversarial Reinforcement Learning

Donggeon David Oh, Duy P. Nguyen, Haimin Hu, Jaime Fernandez Fisac ยท 2026

Robust control barrier functions (CBFs) provide a principled mechanism for smooth safety enforcement under worst-case disturbances. However, existing approaches typically rely on explicit, closed-formโ€ฆ

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Engineering Preprint PDF DOI

Data-driven augmentation of first-principles models under constraint-free well-posedness and stability guarantees

Bendeguz Gyorok, Roel Drenth, Chris Verhoek, Tamas Peni, Maarten Schoukens, Roland Toth ยท 2026

The integration of first-principles models with learning-based components, i.e., model augmentation, has gained increasing attention, as it offers higher model accuracy and faster convergence propertiโ€ฆ

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Engineering Preprint PDF DOI

Simulator Adaptation for Sim-to-Real Learning of Legged Locomotion via Proprioceptive Distribution Matching

Jeremy Dao, Alan Fern ยท 2026

Simulation trained legged locomotion policies often exhibit performance loss on hardware due to dynamics discrepancies between the simulator and the real world, highlighting the need for approaches thโ€ฆ

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Engineering Preprint PDF DOI

An Argument-Principle Based Stability Assessment Method for Grey-Box DFIG Systems

Tao Zhang, Zhiguo Hao, Songhao Yang, Hongyue Ma, Baohui Zhang ยท 2026

Considerable efforts have been made to analyze the small-signal stability of doubly fed induction generator (DFIG) systems. However, commercial confidentiality and frequency coupling make the DFIG sysโ€ฆ

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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 ยท 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 execuโ€ฆ

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