AI Time Series Control System Modelling (Hardcover, 1st ed. 2023)

This book describes the practical application of artificial intelligence (AI) methods using time series data in system control. This book consistently discusses the application of machine learning to the analysis and modelling of time series data of physical quantities to be controlled in the field of system control. Since dynamic systems are not stable steady states but changing transient states, the changing transient states depend on the state history before the change. In other words, it is essential to predict the change from the present to the future based on the time history of each variable in the target system, and to manipulate the system to achieve the desired change. In short, time series is the key to the application of AI machine learning to system control. This is the philosophy of this book: "time series data" + "AI machine learning" = "new practical control methods". This book can give my helps to undergradate or graduate students, institute researchers and senior engineers whose scientific background are engineering, mathematics, physics and other natural sciences.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Release date:	September 2022
First published:	2023
Authors:	Chuzo Ninagawa
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	237
Edition:	1st ed. 2023
ISBN-13:	978-981-19-4593-9
Categories:	Books > Reference & Interdisciplinary > Communication studies > Information theory > Cybernetics & systems theory Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > General Promotions > Red Tag Sale > Books
LSN:	981-19-4593-4
Barcode:	9789811945939

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