More engineers are turning to reinforcement learning to incorporate adaptive and self-tuning control into industrial systems. It aims to strike a balance between traditional ...

Abstract: Accurate controller tuning is important for ensuring optimal performance in flow control processes, particularly onboard ships, where precise control of fluid systems such as oil, gas, and ...

Abstract: This paper introduces a gain-scheduling PID controller design strategy for hydroturbine frequency control mode. This scheme first uses real data to learn the nonlinear dynamics of the ...

Emotion regulation is the ability to exert control over one’s own emotional state. It may involve behaviors such as rethinking a challenging situation to reduce anger or anxiety, hiding visible signs ...

Tim Smith has 20+ years of experience in the financial services industry, both as a writer and as a trader. Andy Smith is a Certified Financial Planner (CFP®), licensed realtor and educator with over ...

The examples in this repository are designed to help readers reproduce the models, simulations, and control strategies discussed in the book. They illustrate the transition from theoretical ...

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, ...