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Data-Driven Iterative Learning Control for Discrete-Time Systems by Chi, Ronghu (author);Hui, Yu (author);Hou, Zhongsheng (author) is a nonfiction available to read on EtoBox.
What is Data-Driven Iterative Learning Control for Discrete-Time Systems about?
The Springer book series Intelligent Control and Learning Systems addresses the emerging advances in intelligent control and learning systems from both mathematical theory and engineering application perspectives. It is a series of monographs and contributed volumes focusing on the in-depth exploration of learning theory in control such as iterative learning, machine learning, deep learning, and others sharing the learning concept, and their corresponding intelligent system frameworks in engineering applications. This series is featured by the comprehensive understanding and practical application of learning mechanisms. This book series involves applications in industrial engineering, control engineering, and material engineering, etc.The Intelligent Control and Learning System book series promotes the exchange of emerging theory and technology of intelligent control and learning systems between academia and industry. It aims to provide a timely reflection of the advances in intelligent control and learning systems. This book series is distinguished by the combination of the system theory and emerging topics such as machine learning, artificial intelligence, and big data. As a coll
Who reads Data-Driven Iterative Learning Control for Discrete-Time Systems?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Chi, Ronghu (author);Hui, Yu (author);Hou, Zhongsheng (author)
- Publisher
- Springer Nature Singapore Pte Ltd Fka Springer Science + Business Media Singapore Pte Ltd
- Published
- 2022
- Language
- EN
- ISBN
- 9789811959493
- Category
- nonfiction
- Subjects
- Mathematics, Engineering, Computer Science
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