Robust Gain-Scheduled Estimation and Control of Electrified Vehicles via LPV Technique

This book presents techniques such as the robust control and nonlinearity approximation using linear-parameter-varying (LPV) techniques. Meanwhile, the control of independently driven electric vehicles and autonomous vehicles is introduced. It covers a comprehensive literature review, robust state e...

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Główni autorzy: Zhang, Hui (Autor), Wang, Rongrong (Autor), Wang, Junmin (Autor)
Korporacja: SpringerLink (Online service)
Format: Elektroniczne E-book
Język:angielski
Wydane: Singapore : Springer Nature Singapore : Imprint: Springer, 2023.
Wydanie:1st ed. 2023.
Seria:Key Technologies on New Energy Vehicles,
Hasła przedmiotowe:
Dostęp online:https://doi.org/10.1007/978-981-19-8509-6
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Opis
Streszczenie:This book presents techniques such as the robust control and nonlinearity approximation using linear-parameter-varying (LPV) techniques. Meanwhile, the control of independently driven electric vehicles and autonomous vehicles is introduced. It covers a comprehensive literature review, robust state estimation with uncertain measurements, sideslip angle estimation with finite-frequency optimization, fault detection of vehicle steering systems, output-feedback control of in-wheel motor-driven electric vehicles, robust path following control with network-induced issues, and lateral motion control with the consideration of actuator saturation. This book is a good reference for researchers and engineers working on control of electric vehicles.
Opis fizyczny:1 online resource (XXI, 204 p. 87 illus.). 69 illus. in color.
ISBN:9789811985096
ISSN:2662-2939
DOI:10.1007/978-981-19-8509-6