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Neural controller from <t>MATLAB.</t>
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Figure 1. <t>Simscape</t> model of the RIP. The control input is denoted by u; the angular displacement of the horizontal arm is denoted by q1, and the angular position of the pendulum is denoted by q2.
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Figure 1. <t>Simscape</t> model of the RIP. The control input is denoted by u; the angular displacement of the horizontal arm is denoted by q1, and the angular position of the pendulum is denoted by q2.
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Figure 1. <t>Simscape</t> model of the RIP. The control input is denoted by u; the angular displacement of the horizontal arm is denoted by q1, and the angular position of the pendulum is denoted by q2.
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Figure 1. <t>Simscape</t> model of the RIP. The control input is denoted by u; the angular displacement of the horizontal arm is denoted by q1, and the angular position of the pendulum is denoted by q2.
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Figure 1. <t>Simscape</t> model of the RIP. The control input is denoted by u; the angular displacement of the horizontal arm is denoted by q1, and the angular position of the pendulum is denoted by q2.
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Figure 1. <t>Simscape</t> model of the RIP. The control input is denoted by u; the angular displacement of the horizontal arm is denoted by q1, and the angular position of the pendulum is denoted by q2.
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Figure 1. <t>Simscape</t> model of the RIP. The control input is denoted by u; the angular displacement of the horizontal arm is denoted by q1, and the angular position of the pendulum is denoted by q2.
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Image Search Results


Neural controller from MATLAB.

Journal: Scientific Reports

Article Title: Experimental verification of the six sectors neural DTC approach of squirrel cage induction motors

doi: 10.1038/s41598-025-95333-y

Figure Lengend Snippet: Neural controller from MATLAB.

Article Snippet: The first, MATLAB 2021a, facilitates easy programming of real-time applications in Simulink by using specific blocks from the Real-Time Interface (RTI) toolbox, which allows configuration of the DS1104 board’s inputs and outputs.

Techniques:

Figure 1. Simscape model of the RIP. The control input is denoted by u; the angular displacement of the horizontal arm is denoted by q1, and the angular position of the pendulum is denoted by q2.

Journal: Modelling—International Open Access Journal of Modelling in Engineering Science

Article Title: Modeling, Simulation, and Control of a Rotary Inverted Pendulum: A Reinforcement Learning-Based Control Approach

doi: 10.3390/modelling5040095

Figure Lengend Snippet: Figure 1. Simscape model of the RIP. The control input is denoted by u; the angular displacement of the horizontal arm is denoted by q1, and the angular position of the pendulum is denoted by q2.

Article Snippet: Simulations are conducted in the Simscape environment in MATLAB®/Simulink 2021a.

Techniques: Control

Figure 9. Time evolution of angular positions of the Simscape and mathematical model for (a) arm position and (b) pendulum position.

Journal: Modelling—International Open Access Journal of Modelling in Engineering Science

Article Title: Modeling, Simulation, and Control of a Rotary Inverted Pendulum: A Reinforcement Learning-Based Control Approach

doi: 10.3390/modelling5040095

Figure Lengend Snippet: Figure 9. Time evolution of angular positions of the Simscape and mathematical model for (a) arm position and (b) pendulum position.

Article Snippet: Simulations are conducted in the Simscape environment in MATLAB®/Simulink 2021a.

Techniques: