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Record Nr. |
UNINA9910993938603321 |
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Autore |
Aykent Baris |
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Titolo |
Human-centric AI for vehicle dynamics control : with methodology, modelling and simulation / / Baris Aykent |
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Pubbl/distr/stampa |
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Cham : , : Springer, , [2025] |
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©2025 |
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ISBN |
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Descrizione fisica |
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1 online resource (xxi, 167 pages) : illustrations |
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Collana |
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Studies in systems, decision and control, , 2198-4190 ; ; volume 494 |
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Disciplina |
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Soggetti |
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Motor vehicles - Dynamics |
Sliding mode control |
Artificial intelligence - Engineering applications |
Human-computer interaction |
Intelligent transportation systems |
Automation |
Artificial intelligence |
Control, Robotics, Automation |
Artificial Intelligence |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references. |
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Nota di contenuto |
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Overview of Vehicle Dynamics and Control -- PID Control Approaches -- Linear Quadratic Regulator (LQR) -- Sliding Mode Control in Vehicle Dynamics -- Human-Centric Considerations in Vehicle Control. |
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Sommario/riassunto |
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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 |
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systems while addressing future challenges in autonomous and connected vehicles. |
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