Udvidet returret til d. 31. januar 2025

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

Bag om 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 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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  • Sprog:
  • Engelsk
  • ISBN:
  • 9789811985089
  • Indbinding:
  • Hardback
  • Sideantal:
  • 228
  • Udgivet:
  • 11. juni 2023
  • Udgave:
  • 23001
  • Størrelse:
  • 160x18x241 mm.
  • Vægt:
  • 553 g.
  • BLACK WEEK
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Leveringstid: Ukendt - mangler pt.
Forlænget returret til d. 31. januar 2025

Beskrivelse af 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 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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