Description
Artificial Intelligence technology is rapidly becoming a transformative force in various industries, and the instrumentation and automation sectors are no exception. The specialized book Artificial Intelligence in Instrumentation Control and Automation provides a comprehensive and in-depth review of how AI algorithms and techniques are integrated into traditional control systems. The main goal of this work is to achieve unprecedented accuracy, increase operational efficiency, and create a suitable platform for automatic and intelligent optimization in dynamic and real-world industrial environments that rely heavily on real-time decision-making.
The book covers a wide range of topics, from predictive maintenance in large manufacturing plants to the guidance and navigation of autonomous vehicles through complex urban routes. The authors, who are distinguished and experienced academics in the field of control engineering, show how artificial intelligence-based systems can learn from environmental data and make optimal decisions without the need for constant human intervention. This valuable reference will help engineers guide their traditional industries towards the fourth generation of industry (Industry 4.0).
Book Features
- A comprehensive review of artificial neural networks and deep learning in the structure of modern control systems
- Training in data-driven modeling and intelligent prediction of system behavior in industrial automation processes
- Analysis of intelligent optimization methods and automated decision-making in complex operational environments
- Presenting real-world examples such as energy management in microgrids and predicting the behavior of robotic systems
- Exploring the applications of machine vision and the Internet of Things (IoT) in agricultural automation and intelligent automotive systems
- Compiled by senior experts and researchers in the fields of electrical engineering, control, and instrumentation.
Book specifications
- Publisher: Scrivener
- Lecturer/Author: B. Jaganatha Pandian
- Number of pages: 654
- Number of chapters: 40
- Format: PDF
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