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Journal Articles

Lagrangian and Quasi-Lagrangian Models for Noninertial Pneumatic Soft Cylindrical Robots

Christian-Alejandro Trejo-Ramos, Ernesto Olguín-Díaz, Vicente Parra-Vega

J. Dyn. Sys., Meas., Control. December 2022, 144(12): 121004.

Paper No: DS-22-1104

DOI: https://doi.org/10.1115/1.4055692

Published Online: October 17, 2022

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Topics: Deformation, Kinematics, Particulate matter, Robots, Simulation, Density

Journal Articles

A Particle Filter and Long Short-Term Memory Fusion Technique for Lithium-Ion Battery Remaining Useful Life Prediction

Xiaosong Hu, Xin Yang, Fei Feng, Kailong Liu, Xianke Lin

J. Dyn. Sys., Meas., Control. June 2021, 143(6): 061001.

Paper No: DS-20-1135

DOI: https://doi.org/10.1115/1.4049234

Published Online: January 5, 2021

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Topics: Algorithms, Filters, Lithium-ion batteries, Particulate matter, Batteries, Uncertainty, Service life (Equipment), Gates (Closures), Cycles

Journal Articles

State Estimation for Lithium-Ion Batteries With Phase Transition Materials Via Boundary Observers

Shumon Koga, Leobardo Camacho-Solorio, Miroslav Krstic

J. Dyn. Sys., Meas., Control. April 2021, 143(4): 041004.

Paper No: DS-19-1453

DOI: https://doi.org/10.1115/1.4048779

Published Online: November 4, 2020

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Topics: Algorithms, Dynamics (Mechanics), Electrodes, Errors, Ions, Lithium, Lithium-ion batteries, Particulate matter, Phase transitions, Stability

Journal Articles

Control-Oriented Modeling of Lithium-Ion Batteries

Brody J. C. Riemann, Jie Li, Kasim Adewuyi, Robert G. Landers, Jonghyun Park

J. Dyn. Sys., Meas., Control. February 2021, 143(2): 021002.

Paper No: DS-19-1565

DOI: https://doi.org/10.1115/1.4048355

Published Online: October 1, 2020

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Topics: Batteries, Capacitance, Circuits, Diffusion (Physics), Electrochemical impedance spectroscopy, Frequency response, Lithium-ion batteries, Modeling, Particulate matter, Physics

Journal Articles

Modeling the Flow and Transport Dynamics in Gasoline Particulate Filters to Improve Filtration Efficiency

Svyatoslav Korneev, Simona Onori

J. Dyn. Sys., Meas., Control. June 2020, 142(6): 061006.

Paper No: DS-18-1386

DOI: https://doi.org/10.1115/1.4046151

Published Online: March 5, 2020

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Topics: Filters, Filtration, Flow (Dynamics), Particulate matter, Modeling, Soot, Dynamics (Mechanics), Gasoline

Journal Articles

Nonlinear Kalman Filtering With Expensive Forward Models Via Measure Change

Brian J. Burrows, Douglas Allaire

J. Dyn. Sys., Meas., Control. February 2020, 142(2): 021006.

Paper No: DS-19-1060

DOI: https://doi.org/10.1115/1.4045323

Published Online: November 21, 2019

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Topics: Algorithms, Filters, Filtration, Kalman filters, Particulate matter, Density, Approximation

Journal Articles

Gesture Tracking and Locating Algorithm Based on Federated Tracking Filter

Lei Yu, Junyi Hou, Shumin Fei

J. Dyn. Sys., Meas., Control. December 2019, 141(12): 124501.

Paper No: DS-18-1432

DOI: https://doi.org/10.1115/1.4044615

Published Online: September 18, 2019

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Topics: Algorithms, Filters, Skin, Image segmentation, Particulate matter

Journal Articles

Noise-Statistics Learning of Automotive-Grade Sensors Using Adaptive Marginalized Particle Filtering

Karl Berntorp, Stefano Di Cairano

J. Dyn. Sys., Meas., Control. June 2019, 141(6): 061009.

Paper No: DS-18-1317

DOI: https://doi.org/10.1115/1.4042673

Published Online: February 21, 2019

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Topics: Noise (Sound), Particulate matter, Roads, Sensors, Statistics, Vehicles, Simulation, Particle filtering (numerical methods), Algorithms

Journal Articles

Appearance-Based Localization of Mobile Robots Using Group LASSO Regression

Huan N. Do, Jongeun Choi, Chae Young Lim, Tapabrata Maiti

J. Dyn. Sys., Meas., Control. September 2018, 140(9): 091016.

Paper No: DS-17-1297

DOI: https://doi.org/10.1115/1.4039286

Published Online: April 30, 2018

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Topics: Filters, Kalman filters, Kinematics, Mobile robots, Particulate matter, Robots, Shrinkage (Materials), Vehicles, Filtration, Trajectories (Physics)

Journal Articles

Reduced-Order Distributed Fault Diagnosis for Large-Scale Nonlinear Stochastic Systems

Elaheh Noursadeghi, Ioannis A. Raptis

J. Dyn. Sys., Meas., Control. May 2018, 140(5): 051009.

Paper No: DS-17-1129

DOI: https://doi.org/10.1115/1.4037839

Published Online: December 19, 2017

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Topics: Algorithms, Failure, Fault diagnosis, Filters, Noise (Sound), Particle filtering (numerical methods), Particulate matter, Probability, Dynamics (Mechanics)

Journal Articles

Imitation of Demonstrations Using Bayesian Filtering With Nonparametric Data-Driven Models

Nurali Virani, Devesh K. Jha, Zhenyuan Yuan, Ishana Shekhawat, Asok Ray

J. Dyn. Sys., Meas., Control. March 2018, 140(3): 030906.

Paper No: DS-17-1094

DOI: https://doi.org/10.1115/1.4037782

Published Online: November 8, 2017

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Topics: Density, Filtration, Robots, Particulate matter, Simulation, Dynamic models, Filters

Journal Articles

Probabilistic Data Association-Feedback Particle Filter for Multiple Target Tracking Applications

Tao Yang, Prashant G. Mehta

J. Dyn. Sys., Meas., Control. March 2018, 140(3): 030905.

Paper No: DS-17-1089

DOI: https://doi.org/10.1115/1.4037781

Published Online: November 8, 2017

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Topics: Algorithms, Feedback, Filters, Particulate matter, Probability

Journal Articles

Kinematic Locomotion Modes of Particle-Based Linear Chain Mechanisms

Ahmad Alshorman, Yildirim Hurmuzlu

J. Dyn. Sys., Meas., Control. February 2018, 140(2): 021010.

Paper No: DS-16-1080

DOI: https://doi.org/10.1115/1.4037735

Published Online: October 6, 2017

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Topics: Chain, Cycles, Kinematics, Particulate matter, Robotics, Graphical user interfaces

Journal Articles

Three-Dimensional Curve Tracking for Particles Using Gyroscopic Control

Chuanfeng Wang

J. Dyn. Sys., Meas., Control. December 2017, 139(12): 124503.

Paper No: DS-16-1159

DOI: https://doi.org/10.1115/1.4037284

Published Online: August 28, 2017

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Topics: Particulate matter, Design, Robotics, Simulation, Trajectories (Physics), Control equipment

Journal Articles

Life Cycle Performance Estimation and In-Flight Health Monitoring for Gas Turbine Engine

Feng Lu, Wenhua Zheng, Jinquan Huang, Min Feng

J. Dyn. Sys., Meas., Control. September 2016, 138(9): 091009.

Paper No: DS-14-1523

DOI: https://doi.org/10.1115/1.4033556

Published Online: June 8, 2016

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Topics: Cycles, Engines, Gas turbines, Flight, Rapid prototyping, Particulate matter

Journal Articles

Going With the Flow: Enhancing Stochastic Switching Rates in Multigyre Systems

Christoffer R. Heckman, M. Ani Hsieh, Ira B. Schwartz

J. Dyn. Sys., Meas., Control. March 2015, 137(3): 031006.

Paper No: DS-14-1026

DOI: https://doi.org/10.1115/1.4027828

Published Online: October 21, 2014

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Topics: Control equipment, Flow (Dynamics), Noise (Sound), Particulate matter, Probability, Simulation

Journal Articles

A Temperature Dependent, Single Particle, Lithium Ion Cell Model Including Electrolyte Diffusion

Tanvir R. Tanim, Christopher D. Rahn, Chao-Yang Wang

J. Dyn. Sys., Meas., Control. January 2015, 137(1): 011005.

Paper No: DS-13-1280

DOI: https://doi.org/10.1115/1.4028154

Published Online: August 28, 2014

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Topics: Diffusion (Physics), Electrolytes, Particulate matter, Temperature, Scanning probe microscopy, Transfer functions, Electrodes, Lithium

Journal Articles

Reduced Order Impedance Models of Lithium Ion Batteries

Githin K. Prasad, Christopher D. Rahn

J. Dyn. Sys., Meas., Control. July 2014, 136(4): 041012.

Paper No: DS-12-1317

DOI: https://doi.org/10.1115/1.4026652

Published Online: April 8, 2014

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Topics: Approximation, Circuits, Diffusion (Physics), Electrodes, Electrolytes, Lithium-ion batteries, Model development, Particulate matter, Transfer functions, Active materials

Journal Articles

Adaptive Partial Differential Equation Observer for Battery State-of-Charge/State-of-Health Estimation Via an Electrochemical Model

Scott J. Moura, Nalin A. Chaturvedi, Miroslav Krstić

J. Dyn. Sys., Meas., Control. January 2014, 136(1): 011015.

Paper No: DS-12-1228

DOI: https://doi.org/10.1115/1.4024801

Published Online: October 15, 2013

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Topics: Algorithms, Approximation, Batteries, Cycles, Design, Dynamics (Mechanics), Errors, Partial differential equations, Scanning probe microscopy, Diffusion (Physics)

Journal Articles

Nonlinear Estimation Techniques Applied on Target Tracking Problems

Andrew Gadsden, Saeid Habibi, Darcy Dunne, T. Kirubarajan

J. Dyn. Sys., Meas., Control. September 2012, 134(5): 054501.

DOI: https://doi.org/10.1115/1.4006374

Published Online: June 5, 2012

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Topics: Bearings, Errors, Filters, Kalman filters, Nonlinear estimation, Particulate matter, Air traffic control, Robustness, Stability

Journal citation

NARROW

Lagrangian and Quasi-Lagrangian Models for Noninertial Pneumatic Soft Cylindrical Robots

A Particle Filter and Long Short-Term Memory Fusion Technique for Lithium-Ion Battery Remaining Useful Life Prediction

State Estimation for Lithium-Ion Batteries With Phase Transition Materials Via Boundary Observers

Control-Oriented Modeling of Lithium-Ion Batteries

Modeling the Flow and Transport Dynamics in Gasoline Particulate Filters to Improve Filtration Efficiency

Nonlinear Kalman Filtering With Expensive Forward Models Via Measure Change

Gesture Tracking and Locating Algorithm Based on Federated Tracking Filter

Noise-Statistics Learning of Automotive-Grade Sensors Using Adaptive Marginalized Particle Filtering

Appearance-Based Localization of Mobile Robots Using Group LASSO Regression

Reduced-Order Distributed Fault Diagnosis for Large-Scale Nonlinear Stochastic Systems

Imitation of Demonstrations Using Bayesian Filtering With Nonparametric Data-Driven Models

Probabilistic Data Association-Feedback Particle Filter for Multiple Target Tracking Applications

Kinematic Locomotion Modes of Particle-Based Linear Chain Mechanisms

Three-Dimensional Curve Tracking for Particles Using Gyroscopic Control

Life Cycle Performance Estimation and In-Flight Health Monitoring for Gas Turbine Engine

Going With the Flow: Enhancing Stochastic Switching Rates in Multigyre Systems

A Temperature Dependent, Single Particle, Lithium Ion Cell Model Including Electrolyte Diffusion

Reduced Order Impedance Models of Lithium Ion Batteries

Adaptive Partial Differential Equation Observer for Battery State-of-Charge/State-of-Health Estimation Via an Electrochemical Model

Nonlinear Estimation Techniques Applied on Target Tracking Problems

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