Learning-based control: A tutorial and some recent results
This monograph presents a new framework for learning-based control synthesis of
continuous-time dynamical systems with unknown dynamics. The new design paradigm …
continuous-time dynamical systems with unknown dynamics. The new design paradigm …
Vehicle crash simulations for safety: Introduction of connected and automated vehicles on the roadways
Traffic accidents are one main cause of human fatalities in modern society. With the fast
development of connected and autonomous vehicles (CAVs), there comes both challenges …
development of connected and autonomous vehicles (CAVs), there comes both challenges …
Integrated optimal control strategies for freeway traffic mixed with connected automated vehicles: A model-based reinforcement learning approach
T Pan, R Guo, WHK Lam, R Zhong, W Wang… - … research part C: emerging …, 2021 - Elsevier
This paper proposes an integrated freeway traffic flow control framework that aims to
minimize the total travel cost, improve greenness and safety for freeway traffic mixed with …
minimize the total travel cost, improve greenness and safety for freeway traffic mixed with …
Path-tracking control for autonomous vehicles using double-hidden-layer output feedback neural network fast nonsingular terminal sliding mode
Z Sun, J Zou, D He, W Zhu - Neural Computing and Applications, 2022 - Springer
In this paper, a double-hidden-layer output feedback neural network fast nonsingular
terminal sliding mode control strategy is developed for path-tracking tasks of autonomous …
terminal sliding mode control strategy is developed for path-tracking tasks of autonomous …
Off-policy learning-based following control of cooperative autonomous vehicles under distributed attacks
This paper investigates the resilient distributed secure output path following control problem
of heterogeneous autonomous ground vehicles (AGVs) subject to cyber attacks based on …
of heterogeneous autonomous ground vehicles (AGVs) subject to cyber attacks based on …
Learning-based adaptive optimal output regulation of linear and nonlinear systems: an overview
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 …
regulation that aims to solve the problem of adaptive and optimal asymptotic tracking with …
Reinforcement-learning-based cooperative adaptive cruise control of buses in the Lincoln tunnel corridor with time-varying topology
The exclusive bus lane (XBL) is one of the most popular bus transit systems in the US The
Lincoln Tunnel utilizes an XBL through the tunnel in the AM peak period. This paper …
Lincoln Tunnel utilizes an XBL through the tunnel in the AM peak period. This paper …
Altruistic cooperative adaptive cruise control of mixed traffic platoon based on deep reinforcement learning
S Lu, Y Cai, L Chen, H Wang, X Sun… - IET Intelligent Transport …, 2023 - Wiley Online Library
Cooperative adaptive cruise control (CACC) realizes efficient, intelligent control of vehicle
acceleration, deceleration, and steering, through inter‐vehicle communication and …
acceleration, deceleration, and steering, through inter‐vehicle communication and …
Perceptual interaction-based path tracking control of autonomous vehicles under DoS attacks: A reinforcement learning approach
This paper considers the distributed optimal path tracking control problem of autonomous
ground vehicles (AGVs) with matched uncertainties under denial-of-service (DoS) attacks …
ground vehicles (AGVs) with matched uncertainties under denial-of-service (DoS) attacks …
Observer‐based neural adaptive control of a platoon of autonomous tractor–trailer vehicles with uncertain dynamics
This study addresses the platoon formation control problem of multiple off‐axle hitching
tractor–trailers with limited communication ranges, under model uncertainties and external …
tractor–trailers with limited communication ranges, under model uncertainties and external …