Developments in advanced control and intelligent automation for complex systems / edited by Min Wu, Witold Pedrycz, Luefeng Chen.
2021
TJ213
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Details
Title
Developments in advanced control and intelligent automation for complex systems / edited by Min Wu, Witold Pedrycz, Luefeng Chen.
ISBN
9783030621476 (electronic bk.)
3030621472 (electronic bk.)
3030621464
9783030621469
3030621472 (electronic bk.)
3030621464
9783030621469
Published
Cham, Switzerland : Springer, 2021.
Language
English
Description
1 online resource (x, 411 pages) : illustrations (some color)
Item Number
10.1007/978-3-030-62147-6 doi
Call Number
TJ213
Dewey Decimal Classification
629.8
Summary
This book discusses the developments in the advanced control and intelligent automation for complex systems completed over the last two decades, including the progress in advanced control theory and method, intelligent control and decision-making of complex metallurgical processes, intelligent systems and machine learning, intelligent robot systems design and control, and prediction and control technology for renewable energy. With the depth and breadth of coverage of this book, it serves as a useful reference for engineers in the field of automation and complex process control and graduate students interested in advanced control theory and computational intelligence as well as their applications to the complex industrial processes. This book offers an up-to-date overview of this active research area. It provides readers with the state-of-the-art methods for advanced control and intelligent automation for complex systems.
Bibliography, etc. Note
Includes bibliographical references.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed April 19, 2021).
Series
Studies in systems, decision and control ; v. 329. 2198-4182
Available in Other Form
Print version: 9783030621469
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Table of Contents
Advanced control theory and method
Intelligent control and decision-making of complex metallurgical processes
Intelligent system and machine learning
Intelligent robot system design and control
Prediction of control technology for renewable energy.
Intelligent control and decision-making of complex metallurgical processes
Intelligent system and machine learning
Intelligent robot system design and control
Prediction of control technology for renewable energy.