Abstract: The traditional Proportional- Integral-Derivative (PID) controllers face the common issues of convergence to local optima and slow performance in high-dimensional problems of nonlinear and ...

Abstract: Effective control of BLDC motors is necessary due to their widespread applications in areas that require high precision in speed regulation, high efficiency, and high reliability. This paper ...

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A playground for experimenting with PID, model‑predictive, and machine‑learning–based controllers. DeepPID provides both traditional and neural adaptive controllers in a single, consistent framework, ...