Cover Image

A Data Driven Method of Feedforward Compensator Optimization for Autonomous Vehicle Control

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Pin, Shi, Tianyu, Zou, Chonghao, Xin, Long, Chan, Ching-Yao
Format:	Preprint
Published:	2019
Subjects:	Systems and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Application of Data-Driven Model Predictive Control for Autonomous Vehicle Steering
by: Zhang, Jiarui, et al.
Published: (2024)

Control Pneumatic Soft Bending Actuator with Feedforward Hysteresis Compensation by Pneumatic Physical Reservoir Computing
by: Shen, Junyi, et al.
Published: (2024)

Extension of the Injected-Absorbed-Current Method applied to DC-DC Converters with Input Filter, Output Post-filter and Feedforward Compensations
by: Ochoa, Diego, et al.
Published: (2024)

Benchmarking Empirical and Learning-Based Approaches for Feedforward Steering Control in Autonomous Racing
by: Jank, Georg, et al.
Published: (2026)

Neural-network-based Self-triggered Observed Platoon Control for Autonomous Vehicles
by: Li, Zihan, et al.
Published: (2026)

CT Saturation Detection and Compensation: A Hybrid Physical Model- and Data-Driven Method
by: Yang, Songhao, et al.
Published: (2026)

Cyber-Resilient Data-Driven Event-Triggered Secure Control for Autonomous Vehicles Under False Data Injection Attacks
by: Mousavi, Yashar, et al.
Published: (2025)

RTI-NMPC for Control of Autonomous Vehicles Using Implicit Discretization Methods
by: Wagner, Matheus, et al.
Published: (2024)

Feedforward Density-Driven Optimal Control for Tracking Time-Varying Distributions with Guaranteed Stability
by: Martinez, Julian, et al.
Published: (2026)

Positioning Error Impact Compensation through Data-Driven Optimization in User-Centric Networks
by: Raza, Waseem, et al.
Published: (2024)

A Riemannian Optimization Perspective of the Gauss-Newton Method for Feedforward Neural Networks
by: Cayci, Semih
Published: (2024)

Data-Driven Superstabilizing Control under Quadratically-Bounded Errors-in-Variables Noise
by: Miller, Jared, et al.
Published: (2024)

Adaptive Event-triggered Formation Control of Autonomous Vehicles
by: Wang, Ziming, et al.
Published: (2025)

Socially Compliant Control of Autonomous Vehicles with Application to Eco-Driving
by: Wang, Shian
Published: (2024)

Data Augmentation Methods of Dynamic Model Identification for Harbor Maneuvers using Feedforward Neural Network
by: Wakita, Kouki, et al.
Published: (2023)

State-Compensation-Linearization-Based Stability Margin Analysis for a Class of Nonlinear Systems: A Data-Driven Method
by: Ren, Jinrui, et al.
Published: (2024)

Reinterpreting PID Controller From the Perspective of State Feedback and Lumped Disturbance Compensation
by: Shi, Xinyu
Published: (2024)

Parameter-Varying Feedforward Control: A Kernel-Based Learning Approach
by: van Haren, Max, et al.
Published: (2025)

A Comprehensive Study on Modelling and Control of Autonomous Underwater Vehicle
by: Makam, Rajini, et al.
Published: (2023)

Feedforward-Feedback Integration in Flight Control: Reinforcement Learning with Sliding Mode Control
by: Sayyed, Imran, et al.
Published: (2026)

Robust Path Following Control for Vehicles with Uncertain Steering Resistance Using Model Error Compensation
by: Iwai, Rentaro, et al.
Published: (2026)

Resource-Oriented Optimization of Electric Vehicle Systems: A Data-Driven Survey on Charging Infrastructure, Scheduling, and Fleet Management
by: Wang, Hai, et al.
Published: (2025)

Compensation of Input/Output Delays for Retarded Systems by Sequential Predictors: A Lyapunov-Halanay Method
by: Yu, Xin, et al.
Published: (2026)

A Hybrid Algorithm for Iterative Adaptation of Feedforward Controllers: an Application on Electromechanical Switches
by: Serrano-Seco, Eloy, et al.
Published: (2024)

Data-Driven Reachability with Scenario Optimization and the Holdout Method
by: Dietrich, Elizabeth, et al.
Published: (2025)

A Convex Optimal Control Framework for Autonomous Vehicle Intersection Crossing
by: Pan, Xiao, et al.
Published: (2022)

Run-to-Run Adaptive Nonlinear Feedforward Control of Electromechanical Switching Devices
by: Moya-Lasheras, Eduardo, et al.
Published: (2023)

Dictionary-free Koopman Predictive Control for Autonomous Vehicles in Mixed Traffic
by: Shang, Xu, et al.
Published: (2025)

State Compensation Linearization and Control
by: Quan, Quan, et al.
Published: (2024)

Autonomous Circular Drift Control for 4WD-4WS Vehicles Without Precomputed Drifting Equilibrium
by: Xiao, Yue, et al.
Published: (2025)

Robust Nonlinear Data-Driven Predictive Control for Mixed Vehicle Platoons via Koopman Operator and Reachability Analysis
by: Li, Shuai, et al.
Published: (2025)

Hierarchical Control for Vehicle Repositioning in Autonomous Mobility on Demand Systems
by: Zhu, Pengbo, et al.
Published: (2024)

DRCC-LPVMPC: Robust Data-Driven Control for Autonomous Driving and Obstacle Avoidance
by: Fang, Shiming, et al.
Published: (2026)

High-Speed Cornering Control and Real-Vehicle Deployment for Autonomous Electric Vehicles
by: Zhao, Shiyue, et al.
Published: (2024)

Safe and Efficient Coexistence of Autonomous Vehicles with Human-Driven Traffic at Signalized Intersections
by: Tzortzoglou, Filippos N., et al.
Published: (2025)

Fully Distributed and Quantized Algorithm for MPC-based Autonomous Vehicle Platooning Optimization
by: Doostmohammadian, Mohammadreza, et al.
Published: (2025)

An Adaptive Data-Enabled Policy Optimization Approach for Autonomous Bicycle Control
by: Persson, Niklas, et al.
Published: (2025)

Trusted Data Fusion, Multi-Agent Autonomy, Autonomous Vehicles
by: Hallyburton, R. Spencer, et al.
Published: (2025)

Longitudinal Control for Autonomous Racing with Combustion Engine Vehicles
by: Pitschi, Phillip, et al.
Published: (2025)

Coordinated Energy-Trajectory Economic Model Predictive Control for Autonomous Surface Vehicles under Disturbances
by: Deng, Zhongqi, et al.
Published: (2025)