Artificial Intelligence in Instrumentation, Control and Automation - Tapa dura

Acerca del autor

B. Jaganatha Pandian, PhD is an Associate Professor and the Head of the Control and Automation Department in the School of Electrical Engineering at the Vellore Institute of Technology with more than 20 years of experience. He has published more than 20 journal papers and more than 15 conference papers. His research interests span machine learning, process control, and intelligent systems.

N. Amutha Prabha, PhD is a Professor in the Department of Instrumentation in the School of Electrical Engineering at the Vellore Institute of Technology with more than 25 years of teaching experience. She has published more than 20 journal papers and more than 15 conference papers. Her research includes wireless LAN networks and discrete-time linear systems.

Abhishek Gudipalli, PhD is an Associate Professor in the Department of Instrumentation in the School of Electrical Engineering at the Vellore Institute of Technology with more than 15 years of teaching experience. He has published more than 40 journal papers and more than 15 conference papers. His research interests include image processing, machine learning, IoT, and electric vehicles.

V. Indragandhi, PhD is a Professor in the Department of Energy and Power Electronics in the School of Electrical Engineering at the Vellore Institute of Technology. She has authored 100 research articles in leading peer-reviewed international journals, one book, and three patents. Her research interests include power generation, inverters, and photovoltaics.

De la contraportada

Revolutionize your industrial practice with this essential book, which provides a comprehensive overview of how artificial intelligence can be integrated into instrumentation and control systems to achieve unprecedented precision, efficiency, and autonomous optimization.

Artificial Intelligence is increasingly becoming a game-changer in the fields of instrumentation, control, and automation, offering unprecedented capabilities to optimize processes, enhance efficiency, and drive innovation. AI algorithms and techniques could be integrated into traditional control systems to create smart and adaptive solutions capable of learning from data and making autonomous decisions for dynamic real-world environments. From predictive maintenance in manufacturing plants to navigation of autonomous vehicles in complex roadways, AI empowers instrumentation and control systems to operate with heightened precision and agility, revolutionizing industries across the board. This book will present the power of AI to optimize processes, enhance efficiency, and achieve unparalleled precision in instrumentation, control, and automation applications. It provides a comprehensive overview of these emerging technologies and their role in optimizing the instrumentation, control, and automation, covering topics such as neural networks and deep learning in control systems, data-driven modeling and prediction in automation, and optimization and decision-making in instrumentation using AI.