In this work, a sliding mode control (SMC) method and a composite learning SMC (CLSMC)
method are proposed to solve the synchronization problem of chaotic fractional-order neural …

The main concern of this paper is to address the synchronization problem of chaotic
fractional-order fuzzy cellular neural networks (FOFCNNs) through designing the novel …

Due to the particularity of the fractional-order derivative definition, the fractional-order control
design is more complicated and difficult than the integer-order control design, and it has …

Adaptive dynamic surface control (ADSC) is effective for solving the complexity problem in
adaptive backstep** control of integer-order nonlinear systems. This article focuses on the …

A fractional-order integral fuzzy sliding mode control scheme is proposed for a class of
uncertain fractional order nonlinear systems subject to uncertainties and external …

During the past decades, integer-order complex-valued neural networks have attracted
great attention since they have been widely applied in in many fields of engineering …

The dynamical study of continuous-/discontinuous-time fractional-order neural networks
(FONNs) has been thoroughly explored, and several publications have been made …

This article investigates the issue of neuro-fuzzy-based adaptive dynamic surface control
(DSC) for uncertain fractional-order (FO) nonlinear systems in strict-feedback form where …

In this article, on the basis of predecessors, works, we will propose a new fractional-order
neural network model with multiple delays. Letting two different delays be bifurcation …

Abstract The Proton Exchange Membrane Fuel Cell (PEMFC) air supply system takes on the
characteristics of external disturbances and uncertain parameters, which is difficult to …