This book highlights innovative developments in the areas of autonomous vehicles, robotics, intelligent control strategies, and AI-driven logistics systems. It focuses on both theoretical advancements and practical implementations, highlighting applications across Formula Student autonomous racing, robotic systems, and intelligent supply chains. By covering cutting-edge topics such as Model Predictive Control, dual-mode braking systems, robotic arm control, and AI-driven logistics optimization, the book integrates contributions across multiple domains, providing readers with valuable insights into emerging methodologies and their real-world impact.
Model Predictive Control for OBR Autonomous.- Development and Simulation
of a Dual-Mode Autonomous Braking System for Human and AI Controlled Driving
in an EV Formula Student Car.- Time-Efficient Driver Model Based on Model
Predictive Control Approach.- Modelling and Control of a
Two-Degree-of-Freedom Robotic Arm using PID and Fuzzy Logic Control.-
Multi-Modal Supply Chains: A Generative AI Framework for Intelligent
Logistics Optimization, Freight Exchange, and Dynamic Routing.
Dr. Aydin Azizi holds a Ph.D. in Mechanical Engineering. Certified as an official instructor for the Siemens Mechatronic Certification Program (SMSCP), 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. Azizis areas of expertise include control and automation, artificial intelligence, and simulation techniques.
