This paper proposes an adaptive tracking control approach for a class of nonlinear state-
constrained and time-varying delay systems with unknown time-varying control coefficients …

In this paper, an optimal interval Type-2 Fuzzy controller is designed for the speed control of
DC motors. In this way, first, the importance and position of Type-2 fuzzy systems are …

Combining human welder (with intelligence and versatility) and automated welding systems
(with precision and consistency) can lead to intelligent welding systems. This paper aims to …

Adaptive neuro-fuzzy inference system (ANFIS) is a well-known neuro-fuzzy model for
approximating highly complex non-linear systems. ANFIS uses precise fuzzy modelling …

Precise prediction of future vehicle information can improve the control efficiency of hybrid
electric vehicles. Nowadays, most prediction models use previous information of vehicles to …

The safety of human lives is compromised posed by heavy traffic causing car accidents
across the globe. Keeping into consideration such threats; the incorporation of safety …

Because hydrogen can be extracted naturally and stored for a long time, different types of
fuel cells have been developed to generate clean power, particularly for use in vehicles …

In this paper, a mathematical model for vehicle-to-vehicle frontal crash is developed. The
experimental data are taken from the National Highway Traffic Safety Administration. To …

This paper studies the path-following problems in autonomous ground vehicles (AGVs)
through predictive control and neural network modeling. Considering the model of AGVs is …

In this paper, we investigate NO x sensor reading correction in diesel engine selective
catalytic reduction (SCR) system applications. It is well known that the urea-based SCR …