For control systems, data analysis can help you understand the system dynamics, ... You can use data-driven control design methods, such as virtual reference feedback tuning, ...

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 ...

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 ...

Control engineering, a vital field that ensures systems perform optimally, is undergoing a transformation thanks to data analysis. By applying sophisticated data analysis techniques, you can ...

One of the top companies for the automobile industry's data-driven control systems patent filings is Toyota with 387 patents. The corporation is primarily concerned with the design, production and ...

When studying systems and control theory we often focus on finding properties of ... {Data informativity: a new perspective on data-driven analysis and control}" \cite{waarde2019data} and ...

Abstract: 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).

Data-driven control systems is a key innovation area in artificial intelligence. Data-driven systems and applications are dedicated software solutions for the management, acquisition and ...