Highly Robust Adaptive Sliding Mode Trajectory Tracking Control of Autonomous Vehicles
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Bibliographic citation
-
In: Sensors (23:7) - Basel : MDPI - Art.-Id. 3454
- Event
-
Veröffentlichung
- (where)
-
Berlin
- (who)
-
Technische Universität Berlin
- (when)
-
2023
- Creator
-
Xie, Fengxi
Liang, Guozhen
Chien, Ying-Ren
- DOI
-
10.14279/depositonce-17551
- Handle
-
11303/18745
- URN
-
urn:nbn:de:101:1-2023041201592621256375
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:52 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Xie, Fengxi
- Liang, Guozhen
- Chien, Ying-Ren
- Technische Universität Berlin
Time of origin
- 2023
Other Objects (12)
Encapsulated trajectory tracking control for autonomous vehicles
Encapsulated trajectory tracking control for autonomous vehicles
A*-based trajectory planning in dynamic environments for autonomous vehicles
Adaptive nonsingular fixed-time sliding mode control for manipulator systems’ trajectory tracking
Residual dynamics learning for trajectory tracking for multi-rotor aerial vehicles
Post-Impact Motion Planning and Tracking Control for Autonomous Vehicles
Autonomous robot vehicles
Optimal trajectory tracking
Robust digital-twin airspace discretization and trajectory optimization for autonomous unmanned aerial vehicles
Safe Trajectory Planning for Autonomous Vehicles Using Motion Primitives: A Moving Horizon Approach
Autonomous vehicle trajectory tracking lateral control based on the terminal sliding mode control with radial basis function neural network and fuzzy logic algorithm
Semi-supervised Visual Tracking of Marine Animals Using Autonomous Underwater Vehicles
Encapsulated trajectory tracking control for autonomous vehicles
Encapsulated trajectory tracking control for autonomous vehicles
A*-based trajectory planning in dynamic environments for autonomous vehicles
Adaptive nonsingular fixed-time sliding mode control for manipulator systems’ trajectory tracking
Residual dynamics learning for trajectory tracking for multi-rotor aerial vehicles
Post-Impact Motion Planning and Tracking Control for Autonomous Vehicles
Autonomous robot vehicles
Optimal trajectory tracking
Robust digital-twin airspace discretization and trajectory optimization for autonomous unmanned aerial vehicles
Safe Trajectory Planning for Autonomous Vehicles Using Motion Primitives: A Moving Horizon Approach
Autonomous vehicle trajectory tracking lateral control based on the terminal sliding mode control with radial basis function neural network and fuzzy logic algorithm
Semi-supervised Visual Tracking of Marine Animals Using Autonomous Underwater Vehicles
Encapsulated trajectory tracking control for autonomous vehicles
Encapsulated trajectory tracking control for autonomous vehicles
A*-based trajectory planning in dynamic environments for autonomous vehicles
Adaptive nonsingular fixed-time sliding mode control for manipulator systems’ trajectory tracking
Residual dynamics learning for trajectory tracking for multi-rotor aerial vehicles
Post-Impact Motion Planning and Tracking Control for Autonomous Vehicles
Autonomous robot vehicles
Optimal trajectory tracking
Robust digital-twin airspace discretization and trajectory optimization for autonomous unmanned aerial vehicles
Safe Trajectory Planning for Autonomous Vehicles Using Motion Primitives: A Moving Horizon Approach
Autonomous vehicle trajectory tracking lateral control based on the terminal sliding mode control with radial basis function neural network and fuzzy logic algorithm