I spent a fair bit of time working in the oil and gas industry where you come across many sophisticated control systems. Given the complexity and interconnectivity of those systems, it is often operationally and financially undesirable or even unsafe...

Reinforcement learning (RL) is a subset of Machine Learning that uses dynamic data, not static data like unsupervised learning or supervised learning. Reinforcement learning is used in many different applications, such as training computer programs to perform certain tasks to autonomous vehicles....

Modelling a DC servomotor is one of the common examples used in control system textbooks and courses. Given that so many systems use DC motors, e.g. robot manipulator arms, it’s an important exercise to go through as well.   If you...

PID is hands-down, the most popular type of control method used in industry. However, there are many variations of PID controllers and different design methods to find the proportional, derivative, and integral gains. In this blog we show how fast...

Model Predictive Control (MPC) has gained a lot of popularity over the last 15 years and for a good reason – it works well with relatively little design effort. MPC was originally developed for the process control industry. So it only made sense to test...