Neuro-fuzzy systems have attracted the growing interest of researchers in various scientific
and engineering areas due to its effective learning and reasoning capabilities. The neuro …

Due to the rapid development of deep learning techniques, numerous frameworks including
convolutional neural networks (CNNs), deep belief networks (DBNs) and auto-encoder (AE) …

COVID-19 outbreak has put the whole world in an unprecedented difficult situation bringing
life around the world to a frightening halt and claiming thousands of lives. Due to COVID …

Most recently, deep learning-based visual detection has attracted rapidly increasing
attention paid to marine organisms, thereby expecting to significantly benefit ocean ecology …

The main contribution of this study is to introduce a simple and effective deep learning
Fourier-based type-2 fuzzy neural network for high-dimensional problems. The rules are …

With the capability of high speed flying, a more reliable and cost efficient way to access
space is provided by hypersonic flight vehicles. Controller design, as key technology to …

This paper investigates the disturbance observer-based composite fuzzy control of a class of
uncertain nonlinear systems with unknown dead zone. With fuzzy logic system …

In this paper, a novel adaptive robust online constructive fuzzy control (AR-OCFC) scheme,
employing an online constructive fuzzy approximator (OCFA), to deal with tracking surface …

Most function approximator (eg, neural network or fuzzy system) based control designs can
only prove uniform ultimate boundedness of the controlled system due to the unavoidable …

In this paper, a finite-time observer based accurate tracking control (FO-ATC) scheme is
addressed for trajectory tracking of a marine vehicle (MV) with complex unknowns including …