Learn how to use data analysis and machine learning techniques to improve your control system design, performance, and optimization for mechanical engineering applications.

Discover how data analysis fuels innovation in control engineering for smarter, more efficient systems.

This article is concerned with data-driven analysis of discrete-time systems under aperiodic sampling, and in particular with a data-driven estimation of the maximum sampling interval (MSI). The MSI ...

Aiming at the problem of deicing and snow-melting for extremely cold areas, a novel method is proposed to solve the problem. Firstly, the preliminaries for deicing and snow-melting are introduced ...

Modern control system design is increasingly embracing data-driven methodologies, which bypass the traditional necessity for precise process models by utilising experimental input–output data.

Data-driven analysis of optimal repositioning policy in bike sharing systems ...

The corporation is primarily concerned with the design, production and marketing of data-driven control systems equipment. Ford, Baidu etc. are a few further significant automotive patent filers.

To combat this, we can use tools from the field of data-driven analysis and control. These tools are able to infer system theoretical properties from the data without explicitly knowing the underlying ...

GlobalData uncovers the leading innovators in data-driven control systems for the automotive industry.