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🔍 ashwin kalyan 📂 Engineering
Showing 2070 results for "ashwin kalyan" in Engineering
Engineering Preprint PDF DOI

Stability Analysis and Data-Driven State Estimation for Generalized Persidskii Systems with Time Delays: Theory and Experimental Validation on PMSM Drives

Syed Pouladi · 2026

This paper addresses the stability analysis and state estimation of generalized Persidskii systems subject to time-varying delays and external disturbances. The generalized Persidskii class, which cou…

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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 · 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 m…

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Engineering Preprint PDF DOI

Reduced-Order Data Assimilation for Thermospheric Density Using Physics-informed SINDyc Models

Sriram Narayanan, Daniele Sicoli, Piyush Mehta · 2026

Accurate estimation of thermospheric mass density is a prerequisite for orbit prediction and space situational awareness, where the upper atmosphere responds nonlinearly to solar and geomagnetic forci…

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Engineering Preprint PDF DOI

An Exponentially stable Extended Kalman Filter with Estimate dependent Process noise Covariance for Chemical Reaction Networks

Suryasnata Dash, Abhishek Dey · 2026

Biomolecular systems are often modeled with partially known nonlinear stochastic dynamics, making state and parameter estimation a central challenge. While Kalman filtering techniques are widely used …

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Engineering Preprint PDF DOI

Equivariant Filter for Radar-Inertial Odometry

Giulio Delama, Jan Michalczyk, Morten Nissov, Martin Scheiber, Alessandro Fornasier, Kostas Alexis, Stephan Weiss · 2026

Radar-Inertial Odometry (RIO) based on the Extended Kalman Filter (EKF) relies on accurate extrinsic calibration between the radar and the Inertial Measurement Unit (IMU) and is sensitive to disturban…

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Engineering Preprint PDF DOI

An Adaptive Kalman Filter that Learns the Coloring Dynamics of the Process Noise

Mohammad Almuhaihi, Dennis Bernstein · 2026

In many applications of state estimation, the process noise is colored; this case is addressed by applying the standard Kalman filter (KF) to dynamics that are augmented with the coloring dynamics. Th…

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Engineering Preprint PDF DOI

ADMM-Based Distributed Kalman-like Observer with Applications to Cooperative Localization

Nicola De Carli, Nicola Bastianello, Dimos V. Dimarogonas · 2026

This paper addresses distributed state estimation for multi-agent systems with local and relative measurements, motivated by cooperative localization problems in which the global state dimension scale…

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Engineering Preprint PDF DOI

Scalable Sensor Scheduling for Continuous-Discrete Kalman Filtering via Information-Form Surrogate Dynamics

Hyeongmin Choe, SooJean Han · 2026

We study sensor scheduling for continuous-discrete Kalman filtering with Poisson measurement arrivals and propose an information-form deterministic surrogate for scalable offline design. Unlike the co…

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Engineering Preprint PDF DOI

Onboard Wind Estimation for Small UAVs Equipped with Low-Cost Sensors: An Aerodynamic Model-Integrated Filtering Approach

Bingchen Cheng, Tielin Ma, Jingcheng Fu, Lulu Tao, Tianhui Guo · 2026

To enable autonomous wind estimation for energy-efficient flight in small unmanned aerial vehicles (UAVs), this study proposes a method that estimates flight states and wind using only the low-cost es…

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Engineering Preprint PDF DOI

Predicting food taste with bound-driven optimization

Pagkratis Tagkopoulos, Dimitris Sfondilis, Ilias Tagkopoulos, Tarek Zohdi · 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 of…

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Engineering Preprint PDF DOI

Networked Tracking of Multiple Moving Targets in 6G Network

Yanmo Hu, Weifeng Zhu, Chenshu Wu, Shuowen Zhang, J. Andrew Zhang, Liang Liu · 2026

This paper considers a networked tracking architecture in 6G integrated sensing and communication (ISAC) systems, where multiple base stations (BSs) cooperatively transmit radio signals and process re…

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Engineering Preprint PDF DOI

Pilot-Free Predictive Multi-User Beamforming via Sensing Management in Cell-Free Networks

Eren Berk Kama, Murat Babek Salman, Isaac Skog, Emil Bjornson · 2026

This paper presents a sensing management frame- work for integrated sensing and communications (ISAC) within cell-free massive multiple-input multiple-output (MIMO) systems to reduce pilot-based chann…

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Engineering Preprint PDF DOI

Autonomous UAV Pipeline Near-proximity Inspection via Disturbance-Aware Predictive Visual Servoing

Wen Li, Hui Wang, Jinya Su, Cunjia Liu, Wen-Hua Chen, Shihua Li · 2026

Reliable pipeline inspection is critical to safe energy transportation, but is constrained by long distances, complex terrain, and risks to human inspectors. Unmanned aerial vehicles provide a flexibl…

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Engineering Preprint PDF DOI

Blockage-Aware and Shadowing Aware RIS Assisted Joint Communication and Positioning for Urban Non Terrestrial Networks

Muhammad Khalil, Ke Wang, Jinho Choi · 2026

Reconfigurable intelligent surfaces (RISs) have recently attracted interest for non-terrestrial networks (NTNs), especially for improving satellite communication performance. However, RIS-assisted urb…

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Engineering Preprint PDF DOI

SSB-Based Sensing-Assisted Robust Beamforming for High-Mobility UAV Communications in LAWN

Aimin Tang, Shuhan Wang, Yin Xu · 2026

High-mobility uncrewed aerial vehicle (UAV) communications in low-altitude wireless networks (LAWN) demand reliable beamforming, while conventional feedback-based schemes suffer from excessive overhea…

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Engineering Preprint PDF DOI

An Innovation-Based Approach to Detect Stealthy Disturbance Attacks in Maritime Monitoring

Gabriele Oliva, Bianca Mazza, Roberto Setola · 2026

Modern maritime navigation and control systems rely on digital sensing, estimation, and communication pipelines that fuse GNSS, radar, inertial, and AIS data through approaches such as Kalman-filter-b…

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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

Greedy Kalman-Swarm: Improving State Estimation in Robot Swarms in Harsh Environments

Phunyapa Suksomboon, Paulo Garcia · 2026

State estimation is a fundamental requirement in robotics, where the accurate determination of a robot's state is essential for stable operation despite inherent process disturbances and sensor noise.…

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Engineering Preprint PDF DOI

Iterated Invariant EKF for Quadruped Robot Odometry

Hilton Marques Souza Santana, Joao Carlos Virgolino Soares, Sven Goffin, Ylenia Nistico, Silvere Bonnabel, Claudio Semini, Marco Antonio Meggiolaro · 2026

Kalman filter-based algorithms are fundamental for mobile robots, as they provide a computationally efficient solution to the challenging problem of state estimation. However, they rely on two main as…

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Engineering Preprint PDF DOI

Utilizing Inpainting for Keypoint Detection for Vision-Based Control of Robotic Manipulators

Sreejani Chatterjee, Venkatesh Mullur, Abhinav Gandhi, Berk Calli · 2026

In this paper we present a novel visual servoing framework to control a robotic manipulator in the configuration space by using purely natural visual features. Our goal is to develop methods that can …

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