A Data-Driven Approach from a System and Control Theoretical Perspective
Tentang Acara Ini
In control system design and analysis, the usage of mathematical models is the most rational approach, which is referred to as the model-based approach. If it is difficult to obtain appropriate models, the direct usage of the data is also another way to design and analysis of the systems, which is referred to as the data-driven approach. The data-driven control based on data informativity was proposed as a framework to consider these two approaches from a unified perspective. The data informativity approach theoretically clarifies the advantages of data-driven control but also has theoretical guarantees in the sense of classical model-based methods. In this talk, several results in control design and system analysis within the data informativity framework will be presented, including controllabilty and observability analysis, Lyapunov balancing, LQR, Stae feedback H2 and H∞ control, etc. The use of exact data and noisy data will also discussed.