Artículos relacionados a Harnessing AI for Control Engineering

Harnessing AI for Control Engineering - Tapa dura

 
9798369378120: Harnessing AI for Control Engineering

Sinopsis

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.

"Sinopsis" puede pertenecer a otra edición de este libro.

Acerca del autor

Accreditation to Supervise Research (2017), Ph.D. (2013), M.S. (2009), and B.S. (2007) in Mechanical Engineering - Specialty: Mechatronics; M'Hamed Bougara University, Boumerdes, Algeria. Prof. Mellal is a Professor at the Department of Mechanical Engineering, Faculty of Technology, M'Hamed Bougara University, Boumerdes, Algeria. He was a Temporarily Associated to Teaching and Research (ATER) at the Department of Industrial Engineering and Maintenance, University Institute of Technology Louis Pasteur, University of Strasbourg, France. He is affiliated to the LMSS Laboratory (Solid Mechanics and Systems Laboratory, M'Hamed Bougara University, Algeria) and was affiliated to the Control, Vision and Robotics team of the ICube Laboratory (The Engineering Science, Computer Science and Imaging Laboratory, University of Strasbourg, France). Prof. Mellal was ranked in the Top 2% of Scientists Worldwide by Stanford University (Single-year 2022) and 1st by the 47th National University Commission for the Professorship in Mechanical Engineering in 2022. He was a Fulbright Visiting Scholar at the Center for Advanced Life Cycle Engineering (CALCE), Department of Mechanical Engineering, University of Maryland, College Park, MD, USA. Likewise, he was a Visiting Scholar at Osaka Electro-Communication University, Japan; Korea Aerospace University, South Korea; and University of Essex, UK. He was also involved in the international project "Algerian National Laboratory for Maintenance Education" in conjunction with the European Union (Erasmus+). He has supervised numerous dissertations, published in various SCIE journals, and conference proceedings. Prof. Mellal has edited 8 books and published 13 book chapters. He was an Invited Keynote Speaker at various conferences, served as a Session Chair for the 2nd and 3rd International Conference on System Reliability and Safety, ICSRS 2017 and 2018, held in Milan (Italy) and Barcelona (Spain), respectively. He also chaired sessions at the 8th International Conference on Mechatronics, Electronics and Automation Engineering (ICMEAE 2021), Beijing, China, and 5th International Conference on Mathematical Techniques in Engineering Applications, Dehradun, India, 2021. Prof. Mellal was recognized as the Best Reviewer for the International Conference on Vision, Image and Signal Processing (ICVISP) in 2017 and 2018, held in Osaka (Japan) and Las Vegas (USA), respectively. He is an Associate Editor for the journal Frontiers in Mechanical Engineering (Topic: Mechatronics) - IF=2.3. He has served as a committee member for over 80 international conferences and acted as a Guest Editor for journal special sessions. He continues to serve as a regular reviewer for more than 30 SCIE-indexed journals. His research interests encompass mechatronics, artificial intelligence for solving engineering problems, including system design and dependability, energy management, control, robotics, and manufacturing.

"Sobre este título" puede pertenecer a otra edición de este libro.