ZP Jiang, T Bian, W Gao - Foundations and Trends® in …, 2020 - nowpublishers.com
This monograph presents a new framework for learning-based control synthesis of continuous-time dynamical systems with unknown dynamics. The new design paradigm …
W Wang, X Na, D Cao, J Gong, J Xi… - IEEE/CAA Journal of …, 2020 - ieeexplore.ieee.org
Shared control schemes allow a human driver to work with an automated driving agent in driver-vehicle systems while retaining the driverʼ s abilities to control. The human driver, as …
M Huang, ZP Jiang, K Ozbay - IEEE transactions on cybernetics, 2020 - ieeexplore.ieee.org
Through vehicle-to-vehicle (V2V) communication, both human-driven and autonomous vehicles can actively exchange data, such as velocities and bumper-to-bumper distances …
B Pang, T Bian, ZP Jiang - IEEE Transactions on Automatic …, 2021 - ieeexplore.ieee.org
This article studies the robustness of policy iteration in the context of continuous-time infinite- horizon linear quadratic regulator (LQR) problem. It is shown that Kleinman's policy iteration …
J Hou, G Chen, J Huang, Y Qiao, L Xiong, F Wen… - Engineering, 2023 - Elsevier
Through vehicle-to-vehicle (V2V) communication, autonomizing a vehicle platoon can significantly reduce the distance between vehicles, thereby reducing air resistance and …
L Huang, W Peissl - … Assessment in a Globalized World: Facing …, 2023 - library.oapen.org
Artificial intelligence (AI) has been considered as one of the critical technologies to address the future grand social challenges in a global context (Kaplan & Haenlein, 2020). Major …
W Li, Z Xie, J Zhao, J Gao, Y Hu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
This paper is concerned with the human-machine shared control issue for vehicle lane keeping systems via a new fuzzy observer-based event-triggered method. In order to …
This article presents a new shared control method with a dynamic driver-automation conflict management for cooperative lane keeping systems (LKS) of automated vehicles. Based on …
W Gao, ZP Jiang - Control Theory and Technology, 2022 - Springer
This paper reviews recent developments in learning-based adaptive optimal output regulation that aims to solve the problem of adaptive and optimal asymptotic tracking with …