Data-driven Controller Design 作者: Alexandre Sanfelice Bazanella / Lucíola Campestrini / Diego Eckhard 出版社: Springer 副标题: The H2 Approach 出版年: 2011-11 页数: 228 定价: $ 145.77 装帧: Hardcover 丛书: Communications and Control Engineering ISBN: 9789400722996 豆瓣评分 目前无人评价 ...
The method is used to design a data-driven controller for an atomic-force microscope. The closed-loop performance of the calculated controller is validated on a real setup.Christoph KammerAdrian P. NievergeltGeorg E. FantnerAlireza Karimi
Data-driven state feedback controller design This subsection discusses the approaches to the design of data-driven controllers for discrete switched systems in the noiseless case, with the help of the virtual clock concept, to achieve low conservativeness. ...
推荐一本书: Data-Driven Controller Design: The H2 Approach Data-Driven Controller Design - The H2 Approach | Alexandre Sanfelice Bazanella | Springerwww.springer.com/us/book/9789400722996发布于 2020-12-17 07:08 机器学习 机器人 自动控制 ...
Design, simulate, and implement data-driven control techniques using AI and non-AI-based methods Identify system dynamics or learn controller parameters directly from data using offline techniques on your desktop Update controller parameters in real-time within embedded systems using online techniquesOfflin...
Numerous theoretical control design methodologies for nonlinear systems have emerged over the last two ...
is it possible to share all the files used in this Webinar: Data-Driven Control: How To Design has to Check(Control) when Plantation Model is Not Available, by Pravallika Vinnakota. It would be largely useful for my students and me since we work on ...
When multiple features are taken into consideration, the controller design and tuning become a multi-objective opti? mization issue and two approaches can be used. One approach is to find the Pareto fronts with as many as possible non? dominant solutions. When computation power or capacity is ...
In this section, the INN design is evaluated by three representative optimal control problems. The controller has no prior-knowledge about the system model but only the measurement data during the system evolution. The first case is a linear time-invariant problem. The optimal control variable can...
This paper presents a data-driven proportional-integral-derivative (DD-PID) controller design method that uses a large database. In this method, a large data-set comprising input/output (I/O) data and control parameters is stored in a database in advance, and current control parameters are ...