Spread the loveLinear and nonlinear functions are the building blocks of algebra. They are essential to the understanding of graphs, equations, and the principles that govern the study of mathematics ...

Learn what linear and nonlinear models are, how they differ, and how they are applied in neural networks with real-world examples.

In an effort to improve the convergence performance of gradient-based neural dynamics (GND), by drawing upon two novel activation functions (AFs), a fixed-time convergent nonlinear GND (NLGND) model ...

In motor applications, it’s suitable to respond to a varying input command with a nonlinear output response to allow compensation for a machine limitation and to provide a better user experience.

The purpose of this paper is to establish sufficient conditions for absolute stability of a class of control system containing a single nonlinear function of two feedback state variables. In ...

Nonlinear regression is a form of regression analysis in which data fit to a model is expressed as a mathematical function.

This example solves a nonlinear system of equations by Newton's method. Let the nonlinear system be represented by F(x) = 0 ...

This paper presents a novel minimum entropy control algorithm for a class of stochastic nonlinear systems subjected to non-Gaussian noises. The entropy control can be considered as an optimization ...

Spread the loveLinear functions are an important concept for students to understand in math class. They can be represented using tables, graphs or equations. Teachers can use various activities to ...