Finite-Time Stabilization of Longitudinal Control for Autonomous Vehicles via a Model-Free Approach

04/05/2017

∙

This communication presents a longitudinal model-free control approach for computing the wheel torque command to be applied on a vehicle. This setting enables us to overcome the problem of unknown vehicle parameters for generating a suitable control law. An important parameter in this control setting is made time-varying for ensuring finite-time stability. Several convincing computer simulations are displayed and discussed. Overshoots become therefore smaller. The driving comfort is increased and the robustness to time-delays is improved.

READ FULL TEXT

Finite-Time Stabilization of Longitudinal Control for Autonomous Vehicles via a Model-Free Approach

Gradient Aware - Shrinking Domain based Control Design for Reactive Planning Frameworks used in Autonomous Vehicles

Self-Driving like a Human driver instead of a Robocar: Personalized comfortable driving experience for autonomous vehicles

Proximally Optimal Predictive Control Algorithm for Path Tracking of Self-Driving Cars

Gain Scheduling LPV Control Scheme for the Autonomous Guidance Problem using a Dynamic Modelling Approach

Energy saving for building heating via a simple and efficient model-free control design: First steps with computer simulations

Improving resource elasticity in cloud computing thanks to model-free control

SRPT vs Smith Predictor for Vehicle Teleoperation

Finite-Time Stabilization of Longitudinal Control for Autonomous Vehicles via a Model-Free Approach

Related Research

Gradient Aware - Shrinking Domain based Control Design for Reactive Planning Frameworks used in Autonomous Vehicles

Self-Driving like a Human driver instead of a Robocar: Personalized comfortable driving experience for autonomous vehicles

Proximally Optimal Predictive Control Algorithm for Path Tracking of Self-Driving Cars

Gain Scheduling LPV Control Scheme for the Autonomous Guidance Problem using a Dynamic Modelling Approach

Energy saving for building heating via a simple and efficient model-free control design: First steps with computer simulations

Improving resource elasticity in cloud computing thanks to model-free control

SRPT vs Smith Predictor for Vehicle Teleoperation