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Robust gain-scheduled estimation and...

Zhang, Hui.

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Robust gain-scheduled estimation and control of electrified vehicles via LPV technique

Record Type:	Electronic resources : Monograph/item
Title/Author:	Robust gain-scheduled estimation and control of electrified vehicles via LPV technique/ by Hui Zhang, Rongrong Wang, Junmin Wang.
Author:	Zhang, Hui.
other author:	Wang, Rongrong.
Published:	Singapore :Springer Nature Singapore : : 2023.,
Description:	xxi, 204 p. :ill. (chiefly col.), digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Electric vehicles. -
Online resource:	https://doi.org/10.1007/978-981-19-8509-6
ISBN:	9789811985096

Robust gain-scheduled estimation and control of electrified vehicles via LPV technique
Zhang, Hui.

Robust gain-scheduled estimation and control of electrified vehicles via LPV technique[electronic resource] /by Hui Zhang, Rongrong Wang, Junmin Wang. - Singapore :Springer Nature Singapore :2023. - xxi, 204 p. :ill. (chiefly col.), digital ;24 cm. - Key technologies on new energy vehicles,2662-2939. - Key technologies on new energy vehicles..

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.

ISBN: 9789811985096

Standard No.: 10.1007/978-981-19-8509-6doiSubjects--Topical Terms:

1613392
Electric vehicles.

LC Class. No.: TL220

Dewey Class. No.: 629.2293

Robust gain-scheduled estimation and control of electrified vehicles via LPV technique
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520 $a 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.
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