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Particle Swarm Optimization (PSO) is applied to solve the nonlinear, non-differentiable problem. Examples are given to demonstrate the effectiveness of the proposed method. Compared with other PID tuning methods, the result shows that better performance can be achieved with the model parameter fluctuation.
Cite As
Salam J. Yaqoob (2026). tuning parameters of PID using the PSO technique (https://www.mathworks.com/matlabcentral/fileexchange/124680-tuning-parameters-of-pid-using-the-pso-technique), MATLAB Central File Exchange. Retrieved .
General Information
- Version 1.0.0 (28.4 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0 |
