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Keywords: machine learning
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Journal Articles
Journal Articles
Publisher: ASME
Article Type: Research Papers
Letters Dyn. Sys. Control. October 2023, 3(4): 041002.
Paper No: ALDSC-23-1037
Published Online: December 7, 2023
...Hyunjin Ahn; Heran Shen; Xingyu Zhou; Yung-Chi Kung; Junmin Wang Accurate estimation of the state of charge (SOC) is crucial for ensuring the safe and efficient operation of lithium-ion batteries. Machine learning (ML) models may achieve high SOC estimation accuracy, but typically require large...
Journal Articles
Publisher: ASME
Article Type: Research Papers
Letters Dyn. Sys. Control. October 2023, 3(4): 041004.
Paper No: ALDSC-23-1044
Published Online: December 7, 2023
... Email: stockar.1@osu.edu 24 07 2023 07 11 2023 07 11 2023 07 12 2023 automotive systems control applications machine learning neural networks eco-driving connected and autonomous vehicles Advanced Research Projects Agency - Energy 10.13039/100006133 DE...
Journal Articles
Publisher: ASME
Article Type: Research Papers
Letters Dyn. Sys. Control. July 2023, 3(3): 031002.
Paper No: ALDSC-23-1008
Published Online: October 25, 2023
... 2023 17 09 2023 25 10 2023 aerospace systems autonomous systems biologically inspired methods control applications dynamics and control emerging control approaches flight control intelligent systems linear systems machine learning neural networks nonlinear control nonlinear...
Journal Articles
Publisher: ASME
Article Type: Research Papers
Letters Dyn. Sys. Control. April 2023, 3(2): 021001.
Paper No: ALDSC-23-1015
Published Online: October 5, 2023
... -values of 3–20 and four popular distance measures for clustering were tested: Euclidean, Cosine, Chebyshev, and Mahalanobis. The best accuracy achieved using kNN was 82% with a k -value of 5 and the Mahalanobis distance metric. Machine learning (ML) is a powerful technique allowing for data analysis...
Journal Articles
Journal Articles
Publisher: ASME
Article Type: Research Papers
Letters Dyn. Sys. Control. July 2022, 2(3): 031003.
Paper No: ALDSC-21-1017
Published Online: March 22, 2022
...@villanova.edu Email: garrett.clayton@villanova.edu Email: c.nataraj@villanova.edu 18 04 2021 01 02 2022 13 02 2022 22 03 2022 machine learning neural networks This article presents a classification tool to assist an explosive ordnance disposal (EOD) technician...
Journal Articles
Publisher: ASME
Article Type: Research Papers
Letters Dyn. Sys. Control. January 2022, 2(1): 011008.
Paper No: ALDSC-21-1006
Published Online: July 14, 2021
... 02 2021 07 06 2021 11 06 2021 14 07 2021 identification linear systems machine learning Identification of linear time-invariant state-space (LTI-SS) models is a topic of interest to the system and control community, thanks to their ability to efficiently describe...
Journal Articles
Publisher: ASME
Article Type: Research Papers
Letters Dyn. Sys. Control. January 2022, 2(1): 011004.
Paper No: ALDSC-20-1084
Published Online: May 31, 2021
...: pmoolchandani3@gatech.edu Email: anirban.mazumdar@me.gatech.edu Email: aaron.young@me.gatech.edu 05 12 2020 04 05 2021 04 05 2021 31 05 2021 estimation human dynamics human–machine interfaces machine learning Unstructured environments, such as construction...
Journal Articles
Publisher: ASME
Article Type: Research Papers
Letters Dyn. Sys. Control. October 2021, 1(4): 041011.
Paper No: ALDSC-20-1065
Published Online: April 2, 2021
.... Email: vbhattacharyya@hawk.iit.edu Email: afernandezcanosa@tesla.com Email: bhomchaudhuri@iit.edu 23 09 2020 18 02 2021 22 02 2021 02 04 2021 autonomous systems control applications machine learning model predictive control optimal control predictive control...
Journal Articles
Publisher: ASME
Article Type: Research Papers
Letters Dyn. Sys. Control. April 2021, 1(2): 021010.
Paper No: ALDSC-19-1161
Published Online: August 24, 2020
... intelligence machine learning human computation crowdsourcing data management Physical intelligence is of fundamental importance for robots to interact with the real world. Compared to cognitive intelligence for tasks such as language processing and image recognition, robot physical intelligence...
Journal Articles
Publisher: ASME
Article Type: Research Papers
Letters Dyn. Sys. Control. April 2021, 1(2): 021009.
Paper No: ALDSC-20-1019
Published Online: August 5, 2020
...@psu.edu 03 04 2020 09 07 2020 14 07 2020 05 08 2020 chaos classification hidden Markov modeling Hénon map Duffing Rössler systems Lorenz attractor chaotic system machine learning nonlinear systems Edward Lorenz introduced the concept of chaos in the form...
Journal Articles
Publisher: ASME
Article Type: Research Papers
Letters Dyn. Sys. Control. April 2021, 1(2): 021008.
Paper No: ALDSC-20-1016
Published Online: August 3, 2020
... to severe vehicle damage, significant financial loss, and even operator injury or death. This paper investigates the impact of understory vegetation density on obstacle detection in off-road traversability analysis. By leveraging a physics-based autonomous driving simulator, a machine learning–based...
Journal Articles
Publisher: ASME
Article Type: Research Papers
Letters Dyn. Sys. Control. April 2021, 1(2): 021002.
Paper No: ALDSC-19-1081
Published Online: April 8, 2020
...% improvement over conventional methods such as K-nearest neighbor (KNN) and support vector machine (SVM), pushing the accuracy above 90%. In addition to performance improvements, the proposed method requires a similar amount of training data to traditional machine learning methods, making the method easily...
Journal Articles
Publisher: ASME
Article Type: Research Papers
Letters Dyn. Sys. Control. April 2021, 1(2): 021003.
Paper No: ALDSC-19-1068
Published Online: April 8, 2020
.... Email: hailin@vt.edu Email: jingyq1@vt.edu Email: bentzvi@vt.edu 23 10 2019 26 02 2020 15 03 2020 27 03 2020 dynamics and control machine learning neural networks nonlinear systems robotics Flat systems have gained popularity for analyzing and designing...