Harnessing AI for Control Engineering - Softcover

Softcover

ISBN 13: 9798369378137

Publisher: Engineering Science Reference, 2025

Synopsis

In the field of control engineering, the integration of artificial intelligence (AI) has opened new avenues for innovation and efficiency. By leveraging machine learning, neural networks, and advanced optimization algorithms, AI can enhance system performance, improve decision-making, and enable real-time adaptive control. These technologies empower engineers to design more robust, efficient, and autonomous systems that can respond to complex, dynamic environments with precision. Further research of AI and control engineering may address challenges of traditional methods and pave the way for smarter, more sustainable industrial processes. Harnessing AI for Control Engineering delves into the transformative integration of artificial intelligence (AI) within the domain of control engineering. It navigates the landscape of AI applications, from classical control methods to cutting-edge machine learning algorithms and nature-inspired optimization techniques. This book covers topics such as civil engineering, fault detection and diagnosis, and robotics, and is a useful resource for engineers, business owners, academicians, researchers, and scientists.

About this title

About the Author

Mohamed Arezki Mellal is a Professor in the Department of Mechanical Engineering, Faculty of Technology, at M’Hamed Bougara University, Boumerdes, Algeria. He was ranked among the Top 2% of Scientists Worldwide by Stanford University (Single-year 2022) and was the top-ranked candidate in the 47th National University Commission for the Professorship in Mechanical Engineering in 2022. He has been a Visiting Scholar at various universities and has published over 80 research papers. He has been invited to various conferences and serves as a regular reviewer for over 30 SCIE journals.

Edition details

• Publisher: Engineering Science Reference
• Publication date: 2025
• Language: English
• ISBN 13: 9798369378137
• Binding: Paperback
• Number of pages: 414
• Editor: Mellal Mohamed Arezki