Azizi | Intelligent Mechatronic Systems | Buch | 978-981-9255-50-4 | www.sack.de

Buch, Englisch, 204 Seiten, Format (B × H): 155 mm x 235 mm

Reihe: Emerging Trends in Mechatronics

Azizi

Intelligent Mechatronic Systems


Erscheinungsjahr 2027
ISBN: 978-981-9255-50-4
Verlag: Springer

Buch, Englisch, 204 Seiten, Format (B × H): 155 mm x 235 mm

Reihe: Emerging Trends in Mechatronics

ISBN: 978-981-9255-50-4
Verlag: Springer


This book presents four research-driven case studies that demonstrate recent advances in intelligent mechatronic systems. The chapters address practical engineering challenges including lightweight vehicle design for sustainable mobility, embedded monitoring and control systems, cybersecurity for resource-constrained operational technology devices, and intelligent authentication using machine learning techniques.

Each chapter combines theoretical foundations with practical implementation, simulation, experimental validation, and engineering analysis, providing readers with real-world examples of multidisciplinary mechatronic system development.

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Zielgruppe


Professional/practitioner


Autoren/Hrsg.


Weitere Infos & Material


Design and Implementation of an Embedded Control and Monitoring System for the GULynx Shell Eco Marathon Electric Battery Vehicle.- Security evaluation of sms one time password authentication system and two factor authentication 2fa.- Redesign and Optimization of a Prototype Vehicle Chassis and Body for the Eco Shell Marathon.- Design And Evaluation Of A Lightweight Runtime Integrity Wrapper For Resource Constrained OT Devices A Case Study Of A PV Cleaning Robot.


Dr. Aydin Azizi holds a Ph.D. in mechanical engineering–mechatronics, an M.Sc. in mechatronics, and a B.Sc. in mechanical engineering. Certified as Fellow of the Higher Education Academy, Official Instructor for the Siemens Mechatronic Certification Program (SMSCP), and Editor-in-Chief of the book series Emerging Trends in Mechatronics published by Springer Nature Group, he currently serves as Senior Lecturer and Academic Partnership Liaison Manager at Oxford Brookes University. His current research focuses on investigating and developing novel techniques to model, control, and optimize complex systems, with expertise in control and automation, AI, and simulation techniques.



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