Name
Affiliation
Papers
HAO XU
Univ Nevada, Dept Civil & Environm Engn, Reno, NV 89557 USA
37
Collaborators
Citations 
PageRank 
66
12
12.74
Referers 
Referees 
References 
29
278
113
Search Limit
100278
Title
Citations
PageRank
Year
A Novel Mean-Field-Game-Type Optimal Control for Very Large-Scale Multiagent Systems10.362022
Large-Scale Multiagent System Tracking Control Using Mean Field Games10.362022
Reinforcement Learning-based Decentralized Optimal Control for Large-Scale Multi-agent System by Using Neural Networks and Discrete-time Mean Field Games00.342021
Self-Organizing Probability Neural Network-Based Intelligent Non-Intrusive Load Monitoring With Applications To Low-Cost Residential Measuring Devices00.342021
Automatic Vehicle Detection With Roadside LiDAR Data Under Rainy and Snowy Conditions00.342021
Vehicle Detection under Adverse Weather from Roadside LiDAR Data.10.362020
An automatic lane identification method for the roadside light detection and ranging sensor00.342020
Optimal resource allocation in networked control systems00.342020
A biologically-inspired reinforcement learning based intelligent distributed flocking control for Multi-Agent Systems in presence of uncertain system and dynamic environment00.342020
Biologically Inspired Decentralized Adaptive Optimal Tracking Control For Large Scale Multi-Agent Systems with Input Constraint00.342020
Discrete-Time Self-Triggered Control of DC Microgrids With Data Dropouts and Communication Delays30.382020
Real-Time Queue Length Detection with Roadside LiDAR Data.00.342020
Automatic Lane Identification Using the Roadside LiDAR Sensors20.392020
Architecture of Vehicle Trajectories Extraction With Roadside LiDAR Serving Connected Vehicles.00.342019
Deer Crossing Road Detection With Roadside LiDAR Sensor.00.342019
A neurobiologically-inspired intelligent trajectory tracking control for unmanned aircraft systems with uncertain system dynamics and disturbance10.352019
Multi-Autonomous Robot Enhanced Ad-Hoc Network Under Uncertain And Vulnerable Environment00.342019
Data Registration with Ground Points for Roadside LiDAR Sensors.00.342019
MSNET-Blockchain: A New Framework for Securing Mobile Satellite Communication Network00.342019
An Automatic Trigged Rectangular Rapid Flashing Beacons (Rrfb) System Using The Roadside Lidar Sensor00.342019
Probabilistic Prediction of Pedestrian Crossing Intention Using Roadside LiDAR Data00.342019
Adaptive Intelligent Secondary Control of Microgrids Using a Biologically-Inspired Reinforcement Learning00.342019
Biologically inspired adaptive intelligent secondary control for MGs under cyber imperfections.00.342019
LiDAR-Enhanced Connected Infrastructures Sensing and Broadcasting High-Resolution Traffic Information Serving Smart Cities.00.342019
Automatic Vehicle-Pedestrian Conflict Identification With Trajectories Of Road Users Extracted From Roadside Lidar Sensors Using A Rule-Based Method00.342019
A Portable Roadside Vehicle Detection System Based On Multi-Sensing Fusion10.362019
Automatic Vehicle Tracking with Roadside LiDAR Data for the Connected-Vehicles System20.382019
Raster-based Background Filtering for Roadside LiDAR Data00.342019
Decentralized Adaptive Optimal Tracking Control for Massive Multi-Agent Systems with Input Constraint00.342019
Intelligent Decentralized Dynamic Power Allocation in MANET at Tactical Edge based on Mean-Field Game Theory00.342019
Deep Reinforcement Learning Based Intelligent Decision Making for Two-player Sequential Game with Uncertain Irrational Player00.342019
Optimal Self-Triggered Control And Network Co-Design For Networked Multi-Agent System Via Adaptive Dynamic Programming00.342017
Deep Reinforecement Learning Based Optimal Defense For Cyber-Physical System In Presence Of Unknown Cyber-Attack00.342017
Event Triggered Distributed Adaptive Consensus Control For High-Order Nonlinear Multi-Agent Systems In Presence Of System Uncertainties00.342017
Automatic Background Filtering And Lane Identification With Roadside Lidar Data00.342017
Low-computation dynamic generation of distributed connectivity control for varying sized multi-agent systems00.342017
Distributed Optimal Flocking Design for Multi-agent Two-Player Zero-Sum Games with Unknown System Dynamics and Disturbance.00.342016