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  • ISSN号：0005-1098
  • 期刊名称：Automatica
  • 时间：0
  • 页码：635-636
  • 相关项目：基于数据驱动的控制理论及在大型复杂系统中的应用
作者： Hou, Zhongsheng|Chi, Ronghu|Xu, Jian-Xin|
同期刊论文项目
基于数据驱动的控制理论及在大型复杂系统中的应用
期刊论文 104 会议论文 73
同项目期刊论文
Stability of first and high order iterative learning control with data dropouts
抑制扰动无模型自适应控制的鲁棒性分析
数据驱动的无模型自适应直线伺服系统精密控制和实现
对一类非严格重复系统的两种基于二阶内模的迭代学习控制器设计
测量数据丢失的一类非线性系统迭代学习控制
一类线性连续切换系统的迭代学习控制
基于多源数据车辆身份综合判定问题研究
An optimal terminal iterative learning control approach for nonlinear discrete-time systems
Iterative learning based adaptive traffic signal control
基于联合熵和CO复杂度的交通流复杂性测度
A comparison of phase transitions produced by PARAMICS, TransModeler, and VISSIM
An ILC scheme for a class of nonlinear continuous-time systems with time-iteration-varying parameter
Terminal iterative learning control based station stop control of a train
非圆切削刀具进给系统的复合迭代学习控制
非线性离散时间系统的最优终端迭代学习控制(英文)
Data-driven model-free adaptive iterative learning control for a class of discrete-time nonlinear sy
Data-driven model-free adaptive control for a class of MIMO nonlinear discrete-time systems
受限迭代学习入口匝道控制收敛性分析
车辆轨迹数据的若干处理方法研究
H-infinity Filtering for Markovian Switching Genetic Regulatory Networks with Time-Delays and Stocha
城市路网交通流的空间互相关性
Iterative learning control with unknown control direction: A novel data-based approach
交通流模型参数的近似动态规划辨识方法
Comparison of vehicle departure headways in beijing and atlanta
一种基于迭代学习的自适应交通信号控制方法
基于模糊PID软切换控制的列车自动驾驶系统调速制动
A model-free periodic adaptive control for freeway traffic density via ramp metering
具有测量数据丢失的离散不确定时滞系统鲁棒Kalman滤波
Model free adaptive control with data dropouts
Stability of iterative learning control with data dropouts via asynchronous dynamical system
A fast signal timing algorithm for individual oversaturated intersections
A novel data-driven control approach for a class of discrete-time nonlinear systems
数据驱动控制理论及方法的回顾和展望
学习增强型PID控制系统的收敛性分析
一类非线性离散系统自适应准滑模控制
Iterative learning control for a class of nonlinear systems with random packet losses
带有迭代学习前馈的快速路无模型自适应入口匝道控制
城市公交网络的鲁棒性分析模型
Asymptotic attenuation of a class of nonlinear systems with unknown sinusoidal disturbances
一类非线性离散系统自适应准滑膜控制
A new neural network-based adaptive ILC for nonlinear discrete-time systems with dead zone scheme
交通流时间序列的多重分形分析
基于联合熵和C0复杂度的交通流复杂性测度
交通流时间序列的分形实证研究
Discrete-time adaptive ILC for non-parametric uncertain nonlinear systems with iteration-varying tra
From model-based control to data-driven control: Survey, classification and perspective
A data-driven iterative feedback tuning approach of ALINEA for freeway traffic ramp metering with PA
H∞ iterative learning controller design for a class of discrete-time systems with data dropout
基于多参数规划的单交叉口排队长度均衡控制
Coordinated iterative learning control schemes for train trajectory tracking with overspeed protecti
On the Intrinsic Concordance between the Wide Scattering Feature of Synchronized Flow and the Empiri
Iterative learning control based freeway ramp metering with iteration-varying parameter
Model-free adaptive control algorithm with data dropout compensation
Robust model free adaptive control with measurement disturbance
RMT-based urban traffic cross-correlation analysis and Its application on traffic incident impact an
采用LS-SVM计算时间序列的Lyapunov指数谱
基于最大李亚普诺夫指数的改进混沌时间序列预测
交通流时间序列的复杂度测量
基于最大Lyapunov指数的多变量混沌时间序列预测
Modified iterative-learning-control-based ramp metering strategies for freeway traffic control with
自适应单指数平滑法在短期交通流预测中的应用
基于排队长度均衡的交叉口信号配时优化策略
A dynamic density control strategy for oversaturated arterials
Using variable speed limits to eliminate wide moving jams: a study based on three-phase traffic
非线性离散时间系统的最优终端迭代学习控制
离散时间非线性系统的数据驱动无模型自适应迭代学习控制（英文）
行人车辆冲突参数分析与安全评价
RMT-Based Urban Traffic Cross-Correlation Analysis and Its Application on Traffic Incident Impact Analyses
Missing Data Imputation for Traffic Flow Based on Improved Local Least Squares
Estimation of Incident-Induced Congestion on Signalized Arteries Using Traffic Sensor Data
一种基于灰色马尔科夫的大客流实时预测模型
基于小波分析的最小二乘支持向量机轨道交通客流预测方法
On iterative learning control design for tracking iteration-varying trajectories with high-order internal model
Robust iterative learning control for nonlinear systems with measurement disturbances