Lets consider the circuit diagram for simulink:
![](data:image/png;base64,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)
Write the mathematical model for the circuit given above:
![](data:image/png;base64,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)
Then drag the components from the library of matlab simulink:
![](data:image/png;base64,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)
Connect input & output blocks according to equation:
![](data:image/png;base64,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)
Then run the simulink and see the output at the scope:
![](data:image/png;base64,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)
Write the mathematical model for the circuit given above:
Then drag the components from the library of matlab simulink:
Connect input & output blocks according to equation:
Then run the simulink and see the output at the scope:
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