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๐Ÿ” aswin kannan ๐Ÿ“‚ Engineering
Showing 2136 results for "aswin kannan" 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 ยท 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 couโ€ฆ

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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 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

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

Sriram Narayanan, Daniele Sicoli, Piyush Mehta ยท 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 forciโ€ฆ

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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 ยท 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 โ€ฆ

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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 ยท 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 disturbanโ€ฆ

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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 ยท 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. Thโ€ฆ

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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 ยท 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 scaleโ€ฆ

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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 ยท 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 coโ€ฆ

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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 ยท 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 esโ€ฆ

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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 ยท 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 reโ€ฆ

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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 ยท 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 channโ€ฆ

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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 ยท 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 flexiblโ€ฆ

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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 ยท 2026

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

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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 ยท 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 overheaโ€ฆ

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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 ยท 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-bโ€ฆ

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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 ยท 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, convenโ€ฆ

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Engineering Preprint PDF DOI

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

Phunyapa Suksomboon, Paulo Garcia ยท 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.โ€ฆ

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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 ยท 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 asโ€ฆ

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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 ยท 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 โ€ฆ

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Engineering Preprint PDF DOI

Layered Control of Partially Observed Stochastic Systems

Charis Stamouli, Anastasios Tsiamis, George J. Pappas ยท 2026

Layered control is essential for managing complexity in large-scale systems, employing progressively coarser models at higher layers. While significant advances have been made for fully observable sysโ€ฆ

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