Mode transition prescribed performance control of connected hybrid electric vehicles based on driver intention fuzzy prediction
J Ding, X Jiao - Control Engineering Practice, 2024 - Elsevier
A novel hierarchical mode transition control (NHMTC) algorithm utilizing traffic information is
investigated for realizing a superior dynamic and ride comfort performance of a connected …
investigated for realizing a superior dynamic and ride comfort performance of a connected …
The twin-in-the-loop approach for vehicle dynamics control
F Dettù, S Formentin… - IEEE/ASME Transactions …, 2023 - ieeexplore.ieee.org
In vehicle dynamics control, engineering a suitable regulator is a long and costly process.
The starting point is usually the design of a nominal controller based on a simple control …
The starting point is usually the design of a nominal controller based on a simple control …
Research on coordinated control of braking mode switching for enhancing switching quality considering communication delay and time-varying model parameters
R Zhang, W Zhao, C Wang - IEEE Transactions on Intelligent …, 2022 - ieeexplore.ieee.org
In the process of braking mode switching of electro-hydraulic brake (EHB) system, there
exist time delay and time-varying model parameters in the actual control process, result in …
exist time delay and time-varying model parameters in the actual control process, result in …
Cascade-Free Predictive Wheel Slip Control with Discrete-Valued Inputs for Automotive Hydraulic Anti-lock Braking Systems
W Liu, J Zhang, R Ma, C He - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The automotive hydraulic anti-lock braking systems employ cascaded wheel slip control
(WSC) and pressure control and adopt the pulse-width-modulation technique to deal with …
(WSC) and pressure control and adopt the pulse-width-modulation technique to deal with …
Robust tuning of Twin-in-the-Loop vehicle dynamics controls via randomized optimization
Abstract The Twin-in-the-Loop (TiL) framework for vehicle dynamics control has been
recently introduced with the goal of simplifying the end-of-line-tuning phase and enhancing …
recently introduced with the goal of simplifying the end-of-line-tuning phase and enhancing …
Optimization tools for Twin-in-the-Loop vehicle control design: analysis and yaw-rate tracking case study
Given the urgent need to simplify the end-of-line tuning of complex vehicle dynamics
controllers, the Twin-in-the-Loop Control (TiL-C) approach was recently proposed in the …
controllers, the Twin-in-the-Loop Control (TiL-C) approach was recently proposed in the …
Model-based and Koopman-based predictive control: a braking control systems comparison
Anti-locking Braking systems are crucial safety systems in modern vehicles. In this work, we
investigate the possibility to use Model Predictive Control (MPC) for braking systems by …
investigate the possibility to use Model Predictive Control (MPC) for braking systems by …
ADAS Advanced Control Techniques
N Mimmo - Analysis and Design of Control Laws for Advanced …, 2024 - Springer
This book presents control systems founded on two main pillars: linearization (as for the
control architecture) and optimization (as for the controller design). As detailed in Sects. 1.3 …
control architecture) and optimization (as for the controller design). As detailed in Sects. 1.3 …
Experimental assessment of neural networks for tire-road force estimation
Modern vehicle dynamics control systems may leverage the knowledge of tire-road forces to
improve safety and performance. However, the lack of commercial sensors entails the need …
improve safety and performance. However, the lack of commercial sensors entails the need …