Chuzo Ninagawa
AI Time Series Control System Modelling
AI Time Series Control System Modelling
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- More about AI Time Series Control System Modelling
This book discusses the practical application of artificial intelligence (AI) methods using time series data in system control, emphasizing the importance of predicting and manipulating transient states based on the state history of each variable. It is suitable for undergradate or graduate students, institute researchers, and senior engineers with a scientific background in engineering, mathematics, physics, and other natural sciences.
Format: Hardback
Length: 237 pages
Publication date: 03 September 2022
Publisher: Springer Verlag, Singapore
This comprehensive book delves into the practical application of artificial intelligence (AI) methods using time series data in system control. It serves as a valuable resource for individuals seeking to understand and leverage the power of machine learning in analyzing and modeling time series data related to physical quantities that are crucial for controlling systems.
Recognizing that dynamic systems, unlike stable steady states, are constantly evolving transient states, the book emphasizes the importance of predicting and manipulating these changing states to achieve desired outcomes. It underscores the significance of understanding the past state history of each variable in the target system to accurately predict future changes and implement appropriate control strategies.
In essence, time series data plays a pivotal role in the realm of AI machine learning applied to system control. This book's philosophy revolves around the combination of time series data and AI machine learning, leading to the development of novel and effective practical control methods. Whether you are an undergraduate or graduate student, an institute researcher, or a senior engineer with a background in engineering, mathematics, physics, or other natural sciences, this book offers valuable insights and practical applications that can enhance your understanding and expertise in this field.
Weight: 547g
Dimension: 235 x 155 (mm)
ISBN-13: 9789811945939
Edition number: 1st ed. 2023
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