A brief overview on the model-based control and data-driven control methods is presented.
The data-driven equivalent dynamic linearization, as a foundational analysis tool of data …

摘要给出了数据驱动控制理论和方法相关问题的定义, 从控制理论, 实际应用和历史发展趋势三
个角度阐述了数据驱动控制的存在背景, 说明了数据驱动控制理论和方法的适用条件 …

This paper addresses a flexible micro aerial vehicle (MAV) under spatiotemporally varying
disturbances, which is composed of a rigid body and two flexible wings. Based on …

This paper is a brief survey on the existing problems and challenges inherent in model-
based control (MBC) theory, and some important issues in the analysis and design of data …

Most perimeter control methods in literature are the model-based schemes designing the
controller based on the available accurate macroscopic fundamental diagram (MFD) …

In this article, a new adaptive fuzzy iterative learning control (AFILC) method is proposed for
the tracking control of nonlinear uncertain high-speed train (HST) operation systems that …

In this study, we propose and test through micro-simulation a novel controller for the
combined control of freeway traffic by adopting coordinated Ramp Metering (RM) and …

In this paper, by splitting a traffic flow series into basis series and deviation series, the
concepts of similarity and repeatability of traffic flow patterns are defined using the statistic …

The terminal iterative learning control (TILC) method is introduced for the first time into the
field of train station stop control and three TILC-based algorithms are proposed in this study …

In this technical note, we propose a new iterative learning control (ILC) scheme for nonlinear
systems with parametric uncertainties that are temporally and iteratively varying. The time …