Learn what linear and nonlinear models are, how they differ, and how they are applied in neural networks with real-world examples. Skip to main content LinkedIn Articles ...

Russ Tedrake, for example, the X Consortium Associate Professor of Electrical Engineering and Computer Science at MIT, ... Linear and nonlinear systems (2010, February 26) ...

Sinc-collocation method was applied to solve nonlinear systems of second order boundary value problems in [12]. In this paper, we discuss the use of sinc-collocation method for solving a class of ...

Examples of Models Described in Terms of Ordinary Differential Equations. Lagrange's Formalism and Its Applications; Qualitative Methods in the Study of Dynamical Systems; Models Describing Nonlinear ...

There are, in current literature (see, for example, Bardi and Capuzzo-Dolcetta, 1997), several methods that may be used in obtaining a numerical solution of the Hamilton-Jacobi-Bellman partial ...

Compared to linear systems and networks, the characteristic of nonlinear systems and networks is the non-linear relationship between input and output. In nonlinear systems and networks, the ...

This short paper considers the identification of dynamical systems from input-output data. The problem of parameter identifiability for such systems is approached by considering whether system outputs ...

Sinc methods are now recognized as an efficient numerical method for problems whose solutions may have singularities, or infinite domains, or boundary layers. This work deals with the sinc-collocation ...