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Journal Articles

Hierarchical Iterative Learning Control for a Class of Distributed Hierarchical Systems

Accepted Manuscript
Spencer Igram, Andrew Alleyne
Journal: Journal of Dynamic Systems, Measurement, and Control
Publisher: ASME
Article Type: Research-Article
J. Dyn. Sys., Meas., Control.
Paper No: DS-23-1007
https://doi.org/10.1115/1.4064174
Published Online: December 1, 2023
View Article titled, Hierarchical Iterative Learning Control for a Class of Distributed Hierarchical Systems
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Topics: Iterative learning control, Feedback, Feedforward control, Algorithms, Control equipment, Design, Flow (Dynamics), Linear systems, Simulation, Stability
Journal Articles

Artificial Flow Guidance Method for Combined Off-Tracking and Stability Improvement for Automated Articulated Vehicles

Accepted Manuscript
Shammi Rahman, Timothy Gordon, Qingwei Liu, Yangyan Gao, Leon Henderson, Leo Laine
Journal: Journal of Dynamic Systems, Measurement, and Control
Publisher: ASME
Article Type: Research-Article
J. Dyn. Sys., Meas., Control.
Paper No: DS-23-1163
https://doi.org/10.1115/1.4064173
Published Online: December 1, 2023
View Article titled, Artificial Flow Guidance Method for Combined Off-Tracking and Stability Improvement for Automated Articulated Vehicles
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Topics: Flow (Dynamics), Stability, Vehicles, Autonomous vehicles, Boundary layers, Engineering simulation, Friction, Highways, Path planning, Roads
Journal Articles

Synthesizing Negative-imaginary Systems with Closed-loop H ∞ -performance via Static Output Feedback Control

Accepted Manuscript
Pravin Behera, Arnab Dey, Sourav Patra
Journal: Journal of Dynamic Systems, Measurement, and Control
Publisher: ASME
Article Type: Research-Article
J. Dyn. Sys., Meas., Control.
Paper No: DS-23-1084
https://doi.org/10.1115/1.4064175
Published Online: December 1, 2023
View Article titled, Synthesizing Negative-imaginary Systems with Closed-loop H ∞ -performance via Static Output Feedback Control
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Topics: Feedback, Algorithms, Design, Relaxation (Physics), Computer simulation, Robustness, Uncertainty
Image
Schematic of the internal processes of LiBs [ 39 ]

Schematic of the internal processes of LiBs [ 39 ]

in Data-Driven Discovery of Lithium-Ion Battery State of Charge Dynamics > Journal of Dynamic Systems, Measurement, and Control
Published Online: November 23, 2023
Fig. 1 Schematic of the internal processes of LiBs [ 39 ] More about this image found in Schematic of the internal processes of LiBs [ 39 ]
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Electrical current for one UDDS and one US06 driving cycle

Electrical current for one UDDS and one US06 driving cycle

in Data-Driven Discovery of Lithium-Ion Battery State of Charge Dynamics > Journal of Dynamic Systems, Measurement, and Control
Published Online: November 23, 2023
Fig. 2 Electrical current for one UDDS and one US06 driving cycle More about this image found in Electrical current for one UDDS and one US06 driving cycle
Image
Schematic of data collection process

Schematic of data collection process

in Data-Driven Discovery of Lithium-Ion Battery State of Charge Dynamics > Journal of Dynamic Systems, Measurement, and Control
Published Online: November 23, 2023
Fig. 3 Schematic of data collection process More about this image found in Schematic of data collection process
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Schematic of experimental setup

Schematic of experimental setup

in Data-Driven Discovery of Lithium-Ion Battery State of Charge Dynamics > Journal of Dynamic Systems, Measurement, and Control
Published Online: November 23, 2023
Fig. 4 Schematic of experimental setup More about this image found in Schematic of experimental setup
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Electrical current for the stochastic cycle

Electrical current for the stochastic cycle

in Data-Driven Discovery of Lithium-Ion Battery State of Charge Dynamics > Journal of Dynamic Systems, Measurement, and Control
Published Online: November 23, 2023
Fig. 5 Electrical current for the stochastic cycle More about this image found in Electrical current for the stochastic cycle
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Schematic of the STRidge algorithm

Schematic of the STRidge algorithm

in Data-Driven Discovery of Lithium-Ion Battery State of Charge Dynamics > Journal of Dynamic Systems, Measurement, and Control
Published Online: November 23, 2023
Fig. 6 Schematic of the STRidge algorithm More about this image found in Schematic of the STRidge algorithm
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Schematic of the predictor training and validation steps

Schematic of the predictor training and validation steps

in Data-Driven Discovery of Lithium-Ion Battery State of Charge Dynamics > Journal of Dynamic Systems, Measurement, and Control
Published Online: November 23, 2023
Fig. 7 Schematic of the predictor training and validation steps More about this image found in Schematic of the predictor training and validation steps
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Simulated data: SOC predictor training and validation results

Simulated data: SOC predictor training and validation results

in Data-Driven Discovery of Lithium-Ion Battery State of Charge Dynamics > Journal of Dynamic Systems, Measurement, and Control
Published Online: November 23, 2023
Fig. 8 Simulated data: SOC predictor training and validation results More about this image found in Simulated data: SOC predictor training and validation results
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Simulated data: SOC predictor cross-validation results

Simulated data: SOC predictor cross-validation results

in Data-Driven Discovery of Lithium-Ion Battery State of Charge Dynamics > Journal of Dynamic Systems, Measurement, and Control
Published Online: November 23, 2023
Fig. 9 Simulated data: SOC predictor cross-validation results More about this image found in Simulated data: SOC predictor cross-validation results
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Battery data: SOC predictor training and validation results

Battery data: SOC predictor training and validation results

in Data-Driven Discovery of Lithium-Ion Battery State of Charge Dynamics > Journal of Dynamic Systems, Measurement, and Control
Published Online: November 23, 2023
Fig. 10 Battery data: SOC predictor training and validation results More about this image found in Battery data: SOC predictor training and validation results
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Battery data: SOC predictor cross-validation results

Battery data: SOC predictor cross-validation results

in Data-Driven Discovery of Lithium-Ion Battery State of Charge Dynamics > Journal of Dynamic Systems, Measurement, and Control
Published Online: November 23, 2023
Fig. 11 Battery data: SOC predictor cross-validation results More about this image found in Battery data: SOC predictor cross-validation results
Journal Articles

Data-Driven Discovery of Lithium-Ion Battery State of Charge Dynamics

Renato Rodriguez, Omidreza Ahmadzadeh, Yan Wang, Damoon Soudbakhsh
Journal: Journal of Dynamic Systems, Measurement, and Control
Publisher: ASME
Article Type: Research-Article
J. Dyn. Sys., Meas., Control. January 2024, 146(1): 011101.
Paper No: DS-23-1092
https://doi.org/10.1115/1.4064026
Published Online: November 23, 2023
View Article titled, Data-Driven Discovery of Lithium-Ion Battery State of Charge Dynamics
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Topics: Algorithms, Batteries, Dynamics (Mechanics), Lithium-ion batteries, Modeling, Cycles, Physics
Journal Articles

Route-Based Energy Analysis of Hybrid Rail Consists

Accepted Manuscript
Nitisha Ahuja, Jay Martin, Michael Yukish, Gary Stump, Lorri Ann Bennett, Bryan William Schlake, Joel Anstrom, Christopher D. Rahn
Journal: Journal of Dynamic Systems, Measurement, and Control
Publisher: ASME
Article Type: Research-Article
J. Dyn. Sys., Meas., Control.
Paper No: DS-23-1105
https://doi.org/10.1115/1.4064091
Published Online: November 20, 2023
View Article titled, Route-Based Energy Analysis of Hybrid Rail Consists
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Topics: Rails, Batteries, Diesel, Fuel consumption, Diesel engines, Fuel efficiency, Locomotives, Emissions, Engineering simulation, Fuels
Journal Articles

Electrohydraulic System Analysis of Variable Recruitment Fluidic Artificial Muscle Bundles with Interaction Effects

Accepted Manuscript
Jeong Yong Kim, Matthew Bryant
Journal: Journal of Dynamic Systems, Measurement, and Control
Publisher: ASME
Article Type: Research-Article
J. Dyn. Sys., Meas., Control.
Paper No: DS-23-1133
https://doi.org/10.1115/1.4064092
Published Online: November 18, 2023
View Article titled, Electrohydraulic System Analysis of Variable Recruitment Fluidic Artificial Muscle Bundles with Interaction Effects
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Topics: Artificial muscles, Systems analysis, Displacement, Pumps, Engines, Motors, Actuators, System efficiency, Dynamics (Mechanics), Pressure
Journal Articles

Experimental Validation of Switched Moving Boundary Modeling of Phase Change Thermal Energy Storage Systems

Accepted Manuscript
Trent Sakakini, Alexander Gomez, Justin Koeln
Journal: Journal of Dynamic Systems, Measurement, and Control
Publisher: ASME
Article Type: Research-Article
J. Dyn. Sys., Meas., Control.
Paper No: DS-23-1135
https://doi.org/10.1115/1.4064093
Published Online: November 18, 2023
View Article titled, Experimental Validation of Switched Moving Boundary Modeling of Phase Change Thermal Energy Storage Systems
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Topics: Modeling, Thermal energy storage, Phase change materials, Dynamics (Mechanics), Flow (Dynamics), Heat, Machinery, Switches, Thermal energy
Journal Articles

An Energy-Based Framework for Robust Dynamic Bipedal Walking Over Compliant Terrain

Accepted Manuscript
Chrysostomos Karakasis, Ioannis Poulakakis, Panagiotis Artemiadis
Journal: Journal of Dynamic Systems, Measurement, and Control
Publisher: ASME
Article Type: Research-Article
J. Dyn. Sys., Meas., Control.
Paper No: DS-23-1181
https://doi.org/10.1115/1.4064094
Published Online: November 18, 2023
View Article titled, An Energy-Based Framework for Robust Dynamic Bipedal Walking Over Compliant Terrain
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Topics: Biomimetics, Control equipment, Design, Pendulums, Prostheses, Robotics, Robots, Robustness, Springs, Stiffness
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Simulation results of Example 1 of Case 1: ( a ) sliding-mode surface, ( b ...

Simulation results of Example 1 of Case 1: ( a ) sliding-mode surface, ( b ...

in Spiking-Free Disturbance Observer-Based Sliding-Mode Control for Mismatched Uncertain System > Journal of Dynamic Systems, Measurement, and Control
Published Online: November 9, 2023
Fig. 1 Simulation results of Example 1 of Case 1: ( a ) sliding-mode surface, ( b ) output state p 1 , ( c ) control input u , and ( d ) estimate error of uncertainty d 1 More about this image found in Simulation results of Example 1 of Case 1: ( a ) sliding-mode surface, ( b ...