: Wang Jianhong, Ricardo A. Ramirez-Mendoza, Ruben Morales-Menendez
Contributor
: Nur Farhan Bin Aini
Summary
Using the noisy data gathered, a major problem in research and engineering is to produce a quantitative description of the systems being studied. A comprehensive mathematical model or a system to return controllers according to novel, unseen inputs could be examples of such a description. The theories' recent developments and engineering applications are thoroughly explained. In other words, data-driven control from theoretical analysis and engineering applications based purely on observed data is the goal of the book, which attempts to establish model-free system analysis and control methodologies. Since the system and controller are directly formed from measured data, the study attempts to establish system identification and combination in advanced control theory, i.e., data-driven control strategy. The evolution of system identification and how it's combined with sophisticated control theory are reviewed in the book.
