In this paper, we present a novel classifier based on fuzzy logic and wavelet transformation
in the form of a neural network. This classifier includes a layer to predict the numerical …

This paper presents a self-organizing interval type-2 fuzzy wavelet neural network
(SIT2FWNN) model for predicting and identifying nonlinear systems. Based on traditional …

This article discusses a novel type-2 fuzzy inference system with multiple variables in which
no fuzzy rules are explicitly defined. By using a rule-free system, we avoid the serious …

This paper addresses the design of an observer-based adaptive neural network chaos
synchronization scheme for a general class of uncertain chaotic systems. The controller …

This paper proposed a new disturbance observer (DO) based on the fixed-time supper-
twisting algorithm (FTSTA) for rejecting perturbations of secure communication of the …

In this study, we proposed a sliding mode control method based on fixed-time sliding mode
surface for the synchronization of uncertain fractional-order hyperchaotic systems. In …

The financial systems have complicated dynamics and are perturbed by various
uncertainties and disturbances. Chaos theory provides a practical approach to analyzing …

This study proposes an adaptive nonsingular integral dynamic terminal sliding mode
tracker/synchronizer for disturbed nonlinear systems along with its usage in safe …

This paper presents a novel seven-dimensional nonlinear hyperchaotic system
characterized by a minimal number of nonlinear terms and variables, yet exhibiting high …

Despite that the synchronization of chaotic systems has been extensively investigated and
demonstrated to contribute to physical, chemical, financial, and biological applications, the …