Topics: Control equipment , Errors , Feedback , Goodness-of-fit tests , Human-robot interaction , Motor controls , Optimal control , Optimization , Performance , Robotics

Information-Theoretic Bayesian Inference for Multi-Agent Localization and Tracking of an Radio Frequency Target With Unknown Waveform

Nathaniel R. Olsen, Sasha M. McKee, Osama S. Haddadin, Scott M. Lyon, Jared E. Campbell, Kam K. Leang

J. Dyn. Sys., Meas., Control. November 2024, 146(6): 061104. doi: https://doi.org/10.1115/1.4065592

Abstracts

View articletitled, Information-Theoretic Bayesian Inference for Multi-Agent Localization and Tracking of an Radio Frequency Target With Unknown Waveform

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Topics: Algorithms , Errors , Sensors , Simulation , Particulate matter , Filters

Data-Driven Aircraft Modeling for Robust Reinforcement Learning Control Synthesis With Flight Test Validation

Hady Benyamen, Mozammal Chowdhury, Shawn Keshmiri

J. Dyn. Sys., Meas., Control. November 2024, 146(6): 061105. doi: https://doi.org/10.1115/1.4065804

Abstracts

View articletitled, Data-Driven Aircraft Modeling for Robust Reinforcement Learning Control Synthesis With Flight Test Validation

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Topics: Aircraft , Control equipment , Flight , Modeling , Dynamic models , Physics

Gaussian Process-Based Learning Control of Underactuated Balance Robots With an External and Internal Convertible Modeling Structure

Feng Han, Jingang Yi

J. Dyn. Sys., Meas., Control. November 2024, 146(6): 061106. doi: https://doi.org/10.1115/1.4065937

Abstracts

View articletitled, Gaussian Process-Based Learning Control of Underactuated Balance Robots With an External and Internal Convertible Modeling Structure

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Topics: Design , Dynamics (Mechanics) , Errors , Pendulums , Robot dynamics , Robots , Trajectories (Physics) , Boundary element methods , Control equipment , Modeling

Learning Scalable Decentralized Controllers for Heterogeneous Robot Swarms With Graph Neural Networks

Oyindamola Omotuyi, Manish Kumar

J. Dyn. Sys., Meas., Control. November 2024, 146(6): 061107. doi: https://doi.org/10.1115/1.4065757

Abstracts

View articletitled, Learning Scalable Decentralized Controllers for Heterogeneous Robot Swarms With Graph Neural Networks

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Topics: Control equipment , Graph neural networks , Robots , Swarm robotics

Localization of Upstream Obstacles by Learning From Spectra of the Koopman Operator

Colin Rodwell, Phanindra Tallapragada

J. Dyn. Sys., Meas., Control. November 2024, 146(6): 061108. doi: https://doi.org/10.1115/1.4066009

Abstracts

View articletitled, Localization of Upstream Obstacles by Learning From Spectra of the Koopman Operator

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Topics: Algorithms , Convolutional neural networks , Eigenvalues , Flow (Dynamics) , Fluids , Hydrofoil , Pressure , Spectra (Spectroscopy) , Time series , Wakes

Optimal Control of Material Microstructures

Aayushman Sharma, Zirui Mao, Haiying Yang, Suman Chakravorty, Michael J. Demkowicz, Dileep Kalathil

J. Dyn. Sys., Meas., Control. November 2024, 146(6): 061109. doi: https://doi.org/10.1115/1.4065801

Abstracts

View articletitled, Optimal Control of Material Microstructures

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Topics: Algorithms , Dynamics (Mechanics) , Feedback , Optimal control , Optimization , Trajectories (Physics) , Noise (Sound) , Partial differential equations , Reinforcement learning

Technical Briefs

Dynamic Mode Decomposition With Gaussian Process Regression for Control of High-Dimensional Nonlinear Systems

Alexandros Tsolovikos, Efstathios Bakolas, David Goldstein

J. Dyn. Sys., Meas., Control. November 2024, 146(6): 064501. doi: https://doi.org/10.1115/1.4065594

Abstracts

View articletitled, Dynamic Mode Decomposition With Gaussian Process Regression for Control of High-Dimensional Nonlinear Systems

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Topics: Boundary layer turbulence , Dynamics (Mechanics) , Errors , Noise (Sound) , Nonlinear systems , Uncertainty , Predictive control , Trains , Modeling

Anti-Windup Adaptive Look-Up Table Algorithms With Application to Data-Driven Engine Controls

Gabrielle Lochrie, Weichen Chen, Yongsoon Yoon

J. Dyn. Sys., Meas., Control. November 2024, 146(6): 064502. doi: https://doi.org/10.1115/1.4065646

Abstracts

View articletitled, Anti-Windup Adaptive Look-Up Table Algorithms With Application to Data-Driven Engine Controls

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Topics: Algorithms , Engines , Interpolation , Nitrogen oxides , Parameter estimation , Control systems , Errors

A Machine Learning Approach toward Cyber-Physical Security of Battery Systems

Srikanth Srinath, Satadru Dey

J. Dyn. Sys., Meas., Control. November 2024, 146(6): 064503. doi: https://doi.org/10.1115/1.4065703

Abstracts

View articletitled, A Machine Learning Approach toward Cyber-Physical Security of Battery Systems

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Topics: Algorithms , Batteries , Sensors , Temperature , Testing , Cyber-attacks , Machine learning , Security , Resilience

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Information-Theoretic Bayesian Inference for Multi-Agent Localization and Tracking of an Radio Frequency Target With Unknown Waveform

Data-Driven Aircraft Modeling for Robust Reinforcement Learning Control Synthesis With Flight Test Validation

Gaussian Process-Based Learning Control of Underactuated Balance Robots With an External and Internal Convertible Modeling Structure

Learning Scalable Decentralized Controllers for Heterogeneous Robot Swarms With Graph Neural Networks

Localization of Upstream Obstacles by Learning From Spectra of the Koopman Operator

Optimal Control of Material Microstructures

Technical Briefs

Dynamic Mode Decomposition With Gaussian Process Regression for Control of High-Dimensional Nonlinear Systems

Anti-Windup Adaptive Look-Up Table Algorithms With Application to Data-Driven Engine Controls

A Machine Learning Approach toward Cyber-Physical Security of Battery Systems

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