Sliding mode control (SMC) has been a very popular control technology due to its simplicity
and robustness against uncertainties and disturbances since its inception more than 60 …

Thanks to their road safety potential, automated vehicles are rapidly becoming a reality. In
the last decade, automated driving has been the focus of intensive automotive engineering …

The underlying control in the hybrid energy source system (HESS) of an electric vehicle (EV)
plays a pivotal role. Uncertainty is unavoidable in system modeling owing to variations in …

Interest in autonomous driving (AD) and intelligent vehicles (IVs) is growing at a rapid pace
due to the convenience, safety, and economic benefits. Although a number of surveys have …

Abstract Autonomous Vehicles (AVs) have shown indelible and revolutionary effects on
accident reduction and more efficient use of travel time, with outstanding socio‐economic …

In this study, to enhance the frequency-flow characteristics of the novel electromagnetic
direct-drive pump (EDDP). An adaptive disturbance observer-based improved super-twisting …

Automated guided vehicles (AGVs) are popular subsets of robots that come in various
shapes and sizes. The group's use in the industry ranges from applications for carrying …

In the research of autonomous vehicles, most existing studies treat the decision/planning
and control as two separate problems. This idea originates from robotics. But since there are …

This article investigates the adaptive learning control problem for a class of nonlinear
autonomous underwater vehicles (AUVs) with unknown uncertainties. The unknown …

When considering the accuracy of tracking control, physical interaction such as structural
uncertainties and external dynamics is the main challenge in actual engineering scenarios …