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

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

  • 著者名:Zhang, Hui/Wang, Rongrong/Wang, Junmin
  • 価格 ¥30,357 (本体¥27,598)
  • Springer(2023/06/10発売)
  • 春分の日の三連休!Kinoppy 電子書籍・電子洋書 全点ポイント30倍キャンペーン(~3/22)
  • ポイント 8,250pt (実際に付与されるポイントはご注文内容確認画面でご確認下さい)
  • 言語:ENG
  • ISBN:9789811985089
  • eISBN:9789811985096

ファイル: /

Description

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.

Table of Contents

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.

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