Autonomous Electric Vehicles - Rigatos, Gerasimos; Abbaszadeh, Masoud; Siano, Pierluigi; Wira, Patrice
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Erscheint vorauss. 1. März 2025
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The integration of ground-breaking technologies, such as next-generation batteries and AI-powered systems, promises to reshape the way we commute, transport goods, and navigate our cities. Autonomous Electric Vehicles: Nonlinear Control, Traction, and Propulsion offers sought-after, specialized know-how on robotized electric vehicles (ground, surface, underwater, aerial). The book builds on theoretical fundamentals to then comprehensively cover the very latest research advances in nonlinear control, estimation, and fault diagnosis for autonomous navigation and electric traction systems. Part I…mehr

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Produktbeschreibung
The integration of ground-breaking technologies, such as next-generation batteries and AI-powered systems, promises to reshape the way we commute, transport goods, and navigate our cities. Autonomous Electric Vehicles: Nonlinear Control, Traction, and Propulsion offers sought-after, specialized know-how on robotized electric vehicles (ground, surface, underwater, aerial). The book builds on theoretical fundamentals to then comprehensively cover the very latest research advances in nonlinear control, estimation, and fault diagnosis for autonomous navigation and electric traction systems. Part I investigates nonlinear optimal control and estimation of a specific class of vehicle per chapter, while part II control and dynamic modeling of a specific type of electric motor per chapter. Furthermore, the methodological analysis conducted is not constrained by the shortcomings of global linearization-based control algorithms, is computationally easy to implement, and is also corroborated by global robustness and stability proofs. Case studies and other practical application discussions exemplify these methods’ potential prospects if adopted at commercial scale. Readers from a wide range of related disciplines will benefit from the structured, modular approach of the volume, which was written by a group of experts with backgrounds both in academia and industry, whose aim is also to contribute transformative solutions to accelerate the global low-carbon power transition as well as smart energy management systems for the continuing shift to renewables.
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Autorenporträt
Dr. Rigatos is Research Director of the Industrial Systems Institute, Greece. He has led research cooperation projects in the areas of nonlinear control, nonlinear filtering, and control of distributed parameter systems. His results have appeared in well-received research monographs. Since 2007, he has been awarded visiting professor positions at several academic institutes (Université Paris XI, France; Harper-Adams University College, UK; University of Northumbria, UK; University of Salerno, Italy; École Centrale de Nantes, France). He is a Senior Member of IEEE and a Member and CEng of the IET. He holds an Editor's position for the International Journal of Advanced Robotic Systems (SAGE) and for the Journal of Electrified Vehicles (SAE International). He received a PhD from the Department of Electrical and Computer Engineering of the National Technical University of Athens (NTUA), Greece, in 2000.