System Identification using LMS algorithm
If u know the inputs and outputs of an unknown system, the u can identify the system with an FIR filter.
Make the input range between [-0.5 0.5] and find its corresponding responses.
Here in the program, we are assuming a system and finding its response. Using the outputs and inputs of the above assumed system we will estimate a system.
The goal is achieved if the corresponding assumed and estimated systems coefficents are same.
Cita come
mano49j (2024). System Identification using LMS algorithm (https://www.mathworks.com/matlabcentral/fileexchange/40830-system-identification-using-lms-algorithm), MATLAB Central File Exchange. Recuperato .
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- Control Systems > System Identification Toolbox >
- Control Systems > System Identification Toolbox > Linear Model Identification >
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Versione | Pubblicato | Note della release | |
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1.0.0.0 |