A survey of distributed optimization
In distributed optimization of multi-agent systems, agents cooperate to minimize a global
function which is a sum of local objective functions. Motivated by applications including …
function which is a sum of local objective functions. Motivated by applications including …
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 …
Deep learning for safe autonomous driving: Current challenges and future directions
Advances in information and signal processing technologies have a significant impact on
autonomous driving (AD), improving driving safety while minimizing the efforts of human …
autonomous driving (AD), improving driving safety while minimizing the efforts of human …
Deep reinforcement learning for the electric vehicle routing problem with time windows
The past decade has seen a rapid penetration of electric vehicles (EVs) as more and more
logistics and transportation companies start to deploy electric vehicles (EVs) for service …
logistics and transportation companies start to deploy electric vehicles (EVs) for service …
[HTML][HTML] Cooperative driving of heterogeneous uncertain nonlinear connected and autonomous vehicles via distributed switching robust PID-like control
In this work, the leading-tracking control problem for heterogeneous and uncertain nonlinear
autonomous vehicles is addressed. These latter communicate their status information over a …
autonomous vehicles is addressed. These latter communicate their status information over a …
Learning-based adaptive optimal control for connected vehicles in mixed traffic: Robustness to driver reaction time
Through vehicle-to-vehicle (V2V) communication, both human-driven and autonomous
vehicles can actively exchange data, such as velocities and bumper-to-bumper distances …
vehicles can actively exchange data, such as velocities and bumper-to-bumper distances …
Supplementary control for quantized discrete-time nonlinear systems under goal representation heuristic dynamic programming
This article is concerned with supplementary control of discrete-time nonlinear systems with
multiple controllers in the framework of goal representation heuristic dynamic programming …
multiple controllers in the framework of goal representation heuristic dynamic programming …
Cooperative adaptive cruise control for connected autonomous vehicles using spring damping energy model
Cooperative adaptive cruise control (CACC) has been widely considered as a potential
solution for reducing traffic congestion, increasing road capacity, reducing fossil fuel …
solution for reducing traffic congestion, increasing road capacity, reducing fossil fuel …
Cooperative control of multiple intersections combining agent and chaotic particle swarm optimization
H Qin, W Zhang, H Zhai - Computers and Electrical Engineering, 2023 - Elsevier
The regional intersection can be regarded as an agent model, that should be controlled and
optimized. The traditional particle swarm optimization algorithm has been enhanced through …
optimized. The traditional particle swarm optimization algorithm has been enhanced through …
[HTML][HTML] Large-scale vehicle platooning: Advances and challenges in scheduling and planning techniques
Through vehicle-to-vehicle (V2V) communication, autonomizing a vehicle platoon can
significantly reduce the distance between vehicles, thereby reducing air resistance and …
significantly reduce the distance between vehicles, thereby reducing air resistance and …