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Nonlinear Systems

2006
Publisher Summary All the real-world systems exhibit nonlinear characteristics and do not satisfy the requirements of a linear system. The analysis of linear systems by z transform and Laplace transform is done to approximate nonlinear systems as linear ones.
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Some Nonlinear Systems [PDF]

open access: possible, 1990
Before developing the theory for systems of conservation laws, it is useful to have some specific examples in mind. In this chapter we will derive some systems of conservation laws.
openaire   +1 more source

Nonlinear system identification using fractional Hammerstein–Wiener models

Nonlinear dynamics, 2019
Karima Hammar, T. Djamah, M. Bettayeb
semanticscholar   +1 more source

Nonlinear Dynamic System Identification

Nonlinear System Identification, 2020
O. Nelles
semanticscholar   +1 more source

Fault-Tolerant Control of a Nonlinear System Based on Generalized Fuzzy Hyperbolic Model and Adaptive Disturbance Observer

IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2017
Huaguang Zhang   +3 more
semanticscholar   +1 more source

Brain and other central nervous system tumor statistics, 2021

Ca-A Cancer Journal for Clinicians, 2021
Carol Kruchko   +2 more
exaly  

Nonlinear Discrete Dynamical Systems

2001
Most of the dynamics displayed by highly complicated nonlinear systems also appear for simple nonlinear systems. The reader is first introduced to the tent function, which is composed of two straight lines. The graphical method of iteration is introduced using this simple function since the constructions may be easily carried out with graph paper, rule,
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Nonlinear Systems

1992
The theories of bifurcation, chaos and fractals as well as equilibrium, stability and nonlinear oscillations, are part of the theory of the evolution of solutions of nonlinear equations. A wide range of mathematical tools and ideas are drawn together in the study of these solutions, and the results applied to diverse and countless problems in the ...
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Nonlinear Hamiltonian Systems

2014
In this chapter we investigate the dynamics of classical nonlinear Hamiltonian systems, which—a priori—are examples of continuous dynamical systems. As in the discrete case (see examples in Chap. 2), we are interested in the classification of their dynamics.
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