Robust Gain-Scheduled Estimation and Control of Electrified Vehicles via LPV Technique [electronic resource] / by Hui Zhang, Rongrong Wang, Junmin Wang.

Por: Zhang, Hui [author.]Colaborador(es): Wang, Rongrong [author.] | Wang, Junmin [author.] | SpringerLink (Online service)Tipo de material: TextoTextoSeries Key Technologies on New Energy VehiclesEditor: Singapore : Springer Nature Singapore : Imprint: Springer, 2023Edición: 1st ed. 2023Descripción: XXI, 204 p. 87 illus., 69 illus. in color. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9789811985096Tema(s): Automotive engineering | Mechatronics | Control engineering | Automotive Engineering | Mechatronics | Control and Systems TheoryFormatos físicos adicionales: Printed edition:: Sin título; Printed edition:: Sin título; Printed edition:: Sin títuloClasificación CDD: 629.2 Clasificación LoC:TL1-483Recursos en línea: Libro electrónicoTexto
Contenidos:
Chapter 1. Polytopic LPV approaches for intelligent automotive systems_state of the art and future challenges -- Chapter 2. H∞ observer for LPV systems with uncertain measurements on scheduling variable application to an electric ground vehicle -- Chapter 3. Sideslip angle estimation of an electric ground vehicle via finite-frequency H∞ approach -- Chapter 4. Active steering actuator fault detection for an automatically steered electric ground vehicle -- Chapter 5. Robust H∞ output-feedback yaw control for in-wheel motor driven electric vehicles with differential steering -- Chapter 6. Robust H∞ path following control for autonomous ground vehicles with delay an data dropout -- Chapter 7. Robust lateral motion control of four-wheel independently actuated electric vehicles with tire force saturation consideration.
En: Springer Nature eBookResumen: 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.
Star ratings
    Valoración media: 0.0 (0 votos)
Existencias
Tipo de ítem Biblioteca actual Colección Signatura Copia número Estado Fecha de vencimiento Código de barras
Libro Electrónico Biblioteca Electrónica
Colección de Libros Electrónicos 1 No para préstamo

Acceso multiusuario

Chapter 1. Polytopic LPV approaches for intelligent automotive systems_state of the art and future challenges -- Chapter 2. H∞ observer for LPV systems with uncertain measurements on scheduling variable application to an electric ground vehicle -- Chapter 3. Sideslip angle estimation of an electric ground vehicle via finite-frequency H∞ approach -- Chapter 4. Active steering actuator fault detection for an automatically steered electric ground vehicle -- Chapter 5. Robust H∞ output-feedback yaw control for in-wheel motor driven electric vehicles with differential steering -- Chapter 6. Robust H∞ path following control for autonomous ground vehicles with delay an data dropout -- Chapter 7. Robust lateral motion control of four-wheel independently actuated electric vehicles with tire force saturation consideration.

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.

UABC ; Perpetuidad

Con tecnología Koha