Battery technology is the bottleneck of the electric vehicles (EVs). It is important, both in
theory and practical application, to do research on the modeling and state estimation of …

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 …

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 …

The second-generation hybrid and Electric Vehicles are currently leading the paradigm shift
in the automobile industry, replacing conventional diesel and gasoline-powered vehicles …

During the past half century, modern control theory has developed greatly and many
branches and subfields have emerged, for example, linear system theory, optimal control …

In this paper, a novel data-driven robust approximate optimal tracking control scheme is
proposed for unknown general nonlinear systems by using the adaptive dynamic …

In this work, a novel data-driven control approach, model-free adaptive control, is presented
based on a new dynamic linearization technique for a class of discrete-time single-input and …

摘要为满足智能制造企业对产品质量检测的需求, 服务制造企业生产管理,
对缺陷检测技术的研究现状, 典型方法和应用进行梳理. 首先总结了磁粉检测法, 渗透检测法 …

Pneumatic artificial muscles (PAMs) have been widely used in actuation of medical devices
due to their intrinsic compliance and high power-to-weight ratio features. However, the …

In this paper, a data-driven model-free adaptive sliding mode control (MFASMC) approach is
proposed based on a novel transformation and linearization of the robotic exoskeleton …