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李 国强
机械与车辆学院
h-index
415
引用
10
H-指数
根据储存在 Pure 的刊物以及来自 Scopus 的引用文献数量计算
2014
2024
每年的科研成果
概览
指纹图谱
合作网络
科研成果
(22)
指纹图谱
深入其中 Guoqiang Li 为活跃的研究主题。这些主题标签来自此人的成果。它们共同形成唯一的指纹。
分类
加权
按字母排序
Engineering
Dynamic Programming
100%
Hybrid Electric Vehicle
73%
Transmissions
70%
Predictive Control Model
63%
Energy Management
60%
Simulation Result
44%
Fault Tolerant Control
35%
Adaptive Cruise Control
35%
Control Strategy
35%
Fuel Economy
35%
Stochastic Model
33%
Vehicle Dynamics
33%
Optimisation Problem
30%
Optimal Control
26%
Friction Pair
26%
Driving Cycle
22%
Gaussians
22%
Optimal Trajectory
17%
Power Loss
17%
Trajectory Planning
17%
Collision Avoidance
17%
Optimal Controller
17%
Controller Design
17%
Reinforcement Learning
17%
Weighting Factor
17%
Steering System
17%
Dynamic Models
16%
Optimization Method
14%
Electric Motor
14%
Longitudinal Direction
11%
Nonlinear Optimization
11%
Engine Torque
11%
Lateral Direction
11%
Motion Control
11%
Gear Ratio
10%
Multiobjective Optimization
10%
Model System
9%
Fluid Viscosity
8%
Nonlinearity
8%
Response Delay
8%
Powertrain
8%
Hydraulics
8%
Abaqus
8%
Actual Condition
8%
Surface Friction
8%
Modified Reynolds' Equation
8%
Oil Film Thickness
8%
Cooling Effect
8%
Balance Equation
8%
Centrifugal Force
8%
Computer Science
Autonomous Driving
61%
Predictive Model
35%
Stochastic Model
29%
Cyber Attack
26%
Autonomous Vehicles
23%
Online Learning
22%
Location Information
17%
Malicious Attack
17%
Share Information
17%
Location Data
17%
fault-tolerance
17%
Vehicular Network
17%
Bayesian Approach
17%
Positioning Method
17%
False Data Injection Attacks
17%
Detection Method
17%
Global Positioning System
17%
Gaussian Process
14%
Motion Control
10%
Neighboring Vehicle
8%
Detection Accuracy
8%
Anomaly Detector
8%
Loop Simulation
8%
Spoofing
8%
Kalman Filter
8%
Spoofing Attack
8%
Stealthy Attack
8%
Anomaly Detection
8%
Attack Model
8%
Vehicle Position
8%
Traditional Model
8%
Clustering Algorithm
8%
Model Complexity
8%
Optimization Strategy
8%
Prediction Accuracy
8%
Robust Optimization
8%
System Dynamics
8%
Parameter Uncertainty
8%
Control Framework
8%
Optimization Problem
8%
Model Prediction
8%
Dynamic Environment
8%
Sensors and Actuator
5%
Control Approach
5%
Learning Performance
5%
Control Strategy
5%
