The application of fuzzy logic technology to modeling and control of dynamical systems has been constrained by the non-dynamical nature of popular fuzzy system ...

Dec 28, 2019 · Generalized modeling principles of a nonlinear system with a dynamic fuzzy network (DFN)- a network with unconstrained connectivity and with ...

The FNN is designed by replacing the sigmoid type activation function of the multilayer neural network with the fuzzy system and the Levenberg-Marquardt ...

Oct 22, 2024 · In this paper, an adaptive fuzzy backstepping output feedback control approach is developed for a class of SISO nonaffine nonlinear systems with ...

728 Generalized Modeling Principles Of A Nonlinear System With A Dynamic Fuzzy Network Simulation examples of phase portrait modeling of a tunnel diode ...

Generalized modeling principles of a nonlinear system with a dynamic fuzzy network (DFN)- a network with unconstrained connectivity and with dynamic fuzzy ...

Generalized modeling principles of a nonlinear system with a dynamic fuzzy network (DFN)- a network with unconstrained connectivity and with dynamic fuzzy ...

Generalized modeling principles of a nonlinear system with a dynamic fuzzy network (DFN)-a network with unconstrained connectivity and with dynamic fuzzy ...

This study presents a nonlinear dynamical system modeling with dynamic wavelet networks (DWNs). Wavelet is widely used in processing of signals and data. It has ...

Fuzzy logic and neural networks are two important technologies for modeling and control of dynamical systems and have been constrained by the non-dynamical.