A linear model is a function that has a constant rate of change, meaning that the output changes by the same amount for any given change in the input. For example, y = 2x + 5 is a linear model ...

This paper deals with the input–output linearization of non-linear time-varying delay systems. We introduce an extension of the Lie derivative for time-varying delay systems and derive sufficient ...

This paper proposes a new input-output feedback linearization control technique (FLC) of Linear Inductions Motors (LIMs) taking into consideration both the dynamic end-effects and the iron losses.

The function has two mandatory parameters: Input and Output. The function also has one optional parameter: Interpolation. The interpolation parameter can either be set to "Trilinear" or "Tetrahedral" ...

One way to handle non-linear relationships is to apply non-linear transformations to your input variables or output variables. For example, you can use polynomial features, logarithmic functions ...

A linear function approximator is a function y=f(x,w) that is linear in the weights, though not necessarily linear in the input x: Linear function approximators have several nice properties. For ...

The Hill functions, H h (x) = x h / (1 + x h), have been widely used in biology for over a century but, with the exception of H 1, they have had no justification other than as a convenient fit to ...