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Research on the design of intelligent control strategy for linear primary inverted pendulum based on deep reinforcement learning algorithm with SolidLab's microcontroller programming.

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Title: Research on the design of intelligent control strategy for linear primary inverted pendulum based on deep reinforcement learning algorithm with SolidLab's microcontroller programming.
Authors: Shang, Yalei1 20020420@hbzy.edu.cn
Source: Journal of Combinatorial Mathematics & Combinatorial Computing. Dec2025, Vol. 127a, p1783-1797. 15p.
Database: Mathematics Source
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  Data: Research on the design of intelligent control strategy for linear primary inverted pendulum based on deep reinforcement learning algorithm with SolidLab's microcontroller programming.
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  Data: <searchLink fieldCode="AR" term="%22Shang%2C+Yalei%22">Shang, Yalei</searchLink><relatesTo>1</relatesTo><i> 20020420@hbzy.edu.cn</i>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Combinatorial+Mathematics+%26+Combinatorial+Computing%22">Journal of Combinatorial Mathematics & Combinatorial Computing</searchLink>. Dec2025, Vol. 127a, p1783-1797. 15p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=msf&AN=188827219
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      – Type: doi
        Value: 10.61091/jcmcc127a-104
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      – Code: eng
        Text: English
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        PageCount: 15
        StartPage: 1783
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      – TitleFull: Research on the design of intelligent control strategy for linear primary inverted pendulum based on deep reinforcement learning algorithm with SolidLab's microcontroller programming.
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              M: 12
              Text: Dec2025
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              Y: 2025
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              Value: 127a
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