PID Controller Optimization: A Gradient Descent Approach

Using machine learning to solve engineering optimization problems

Machine learning. Deep learning. AI. More and more people use these technologies every day. This has largely been driven by the rise of Large Language Models deployed by the likes of ChatGPT, Bard and others. Despite their widespread use, relatively few people are familiar with the methods underpinning these technologies.

In this article, we dive into one of the fundamental methods …

getting-started gradient-descent machine learning optimization