This work aims to provide a broad overview of computational techniques belonging to the
area of artificial intelligence tailored for identification of nonlinear dynamical systems. Both …

The industry of data centers is the fifth largest energy consumer in the world. Distributed
green data centers (DGDCs) consume 300 billion kWh per year to provide different types of …

Determining the optimal number of hidden nodes and their proper initial locations are
essentially crucial before the wavelet neural networks (WNNs) start their learning process. In …

In the field of transportation, the Internet of Vehicles (IoV) is an important component of the
Internet of Things. The vehicle-to-vehicle communication is particularly challenging in …

General type-2 fuzzy systems (GT2 FLSs) provide a more flexible way of overcoming an
uncertain lack of uniformity in different applications. Centroid type reduction is one of the …

Many nonlinear dynamical systems are usually lack of abundant datasets since the data
acquiring process is time consuming. It is difficult to utilize the incomplete datasets to build …

This paper is concerned with the problems of dynamic practical-sliding-mode control (SMC)
and estimation of unknown functions for singular Markovian jump systems (MJSs) with …

Artificial intelligence (AI) is once again a topic of huge interest for computer scientists around
the world. Whilst advances in the capability of machines are being made all around the …

With the increasingly mature sensor technology and the increasing popularity of broadband
network,“the Internet-of-Everything” era is coming, and the mobile Internet of Things (IoT) is …

In this paper, a novel self-organizing fuzzy neural network with an adaptive learning
algorithm (SOFNN-ALA) for nonlinear system modeling and identification in industrial …