This book approaches its subject matter by merging advanced AI techniques with traditional vehicle dynamics control. It emphasizes human-centric design to improve safety, comfort, and personalization in automotive systems like active front steering (AFS) and electronic stability control (ESC). What’s new is its focus on human-centric AI, integrating adaptive systems that anticipate driver intent and balance automation with user engagement. The book spans from basic vehicle dynamics to AI-powered methods, targeting engineers, researchers, and students. It’s key for designing, testing, and optimizing control systems while addressing future challenges in autonomous and connected vehicles.
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Dr. Bar¿¿ Aykent is a researcher specializing in vehicle dynamics, control systems, artificial intelligence, and human–machine interaction. He has authored books on machine learning applications in mechanical vibrations and AI-driven vehicle simulation software, alongside numerous academic articles on automotive safety and intelligent control. His work integrates advanced control methods—such as reinforcement learning, model predictive control, and robust adaptive control—into applications for electric vehicles, UAVs, and driving simulators. Currently, he leads innovative projects bridging engineering, AI, and driver behavior analysis, contributing both to academic research and real-world automotive technologies.
This book approaches its subject matter by merging advanced AI techniques with traditional vehicle dynamics control. It emphasizes human-centric design to improve safety, comfort, and personalization in automotive systems like active front steering (AFS) and electronic stability control (ESC). What’s new is its focus on human-centric AI, integrating adaptive systems that anticipate driver intent and balance automation with user engagement. The book spans from basic vehicle dynamics to AI-powered methods, targeting engineers, researchers, and students. It’s key for designing, testing, and optimizing control systems while addressing future challenges in autonomous and connected vehicles.
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