Overview
- Presents a novel agent-based control architecture to facilitate the Industry 4.0 adoption for SMEs
- Introduces a simulation technique for optimized solutions to overcome the identified problems
- Helps SMEs to improve the performance of the manufacturing system in implementing industry 4.0
Part of the book series: Emerging Trends in Mechatronics (emerg. Trends in Mechatronics)
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Table of contents (6 chapters)
Editors and Affiliations
About the editor
Dr. Aydin Azizi holds a Ph.D. degree in Mechanical Engineering-Mechatronics, an M.Sc. in Mechatronics and a B.Sc. in Mechanical Engineering-Heat & Fluids. Certified as the Fellow of the Higher Education Academy (FHEA), official instructor for the Siemens Mechatronic Certification Program (SMSCP) and the editor of the book series Emerging Trends in Mechatronics publishing by Springer Nature Group, he currently serves as a Senior Lecturer at the Oxford Brookes University. His current research focuses on investigating and developing novel techniques to model, control and optimize complex systems. Dr. Azizi’s areas of expertise include Control & Automation, Artificial Intelligence and Simulation Techniques. Dr. Azizi is the recipient of the National Research Award of Oman for his AI-focused research, DELL EMC’s “Envision the Future” competition award in IoT for “Automated Irrigation System”, and ‘Exceptional Talent’ recognition by the British Royal Academy of Engineering.
Bibliographic Information
Book Title: Control Engineering in Mechatronics
Editors: Aydin Azizi
Series Title: Emerging Trends in Mechatronics
DOI: https://doi.org/10.1007/978-981-16-7775-5
Publisher: Springer Singapore
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023
Hardcover ISBN: 978-981-16-7774-8Published: 04 May 2023
Softcover ISBN: 978-981-16-7777-9Published: 05 May 2024
eBook ISBN: 978-981-16-7775-5Published: 03 May 2023
Series ISSN: 2731-4855
Series E-ISSN: 2731-4863
Edition Number: 1
Number of Pages: IX, 202
Number of Illustrations: 5 b/w illustrations, 72 illustrations in colour
Topics: Mechatronics, Artificial Intelligence, Robotics and Automation, Industrial and Production Engineering