This paper reviews recent progress in model identification-based learning and optimal
control and its applications to multi-agent systems (MASs). First, a class of learning-based …

Weather nowcasting consists of predicting meteorological components in the short term at
high spatial resolutions. Due to its influence in many human activities, accurate nowcasting …

The most important problems with exploiting artificial neural networks (ANNs) are to design
the network topology, which usually requires an excessive amount of expert's effort, and to …

In this paper a detailed method for fault detection of an in-core three wires Resistance
Temperature Detectors (RTD) sensor is introduced. The method is mainly based on the …

Drones are a type of unmanned aerial vehicle. They use several rotors to control their flight
motion and stabilize their attitude. This study aims to determine the optimal proportional …

Over the last years, researchers have been paying particular attention to scheduling
problems integrating production environments and distribution systems to adopt more …

In this work, a new zeroing neural network (ZNN) using a versatile activation function (VAF)
is presented and introduced for solving time-dependent matrix inversion. Unlike existing …

The significant contribution of this paper is the addressing the stability issue of neutral-type
Cohen–Grossberg neural networks possessing multiple time delays in the states of the …

The essential purpose of this work is to conduct an investigation into stability problem for the
class of neutral-type Cohen–Grossberg neural networks including multiple time delays in …

This paper considers the drive-response synchronization of memristive neural networks
(MNNs) with unknown parameters, where the unbounded discrete and bounded distributed …