How To Use Nonlinear system In A Sentence
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A modified particle swarm optimization algorithm for nonlinear system identification is presented.
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Particles filter (PF) has no restriction to the noise type and it is an effective approximate method for the state estimate of nonlinear systems.
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The discovery of chaos shows that some deterministic nonlinear system can exhibit random - like behavior.
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In this paper, we prove that invertible dynamic feedback linearizability is equivalent to linearizability by adding integrators for up to 4 dimensional affine nonlinear systems.
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The discovery of chaos shows that some deterministic nonlinear system can exhibit random - like behavior.
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Nonlinear system prediction using neural networks appears great efficiency and has abundance of applications.
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The concentration profile equation in the fixed bed for nonlinear system with axial dispersion was derived.
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Chapter 8 uses the ideas of complex nonlinear systems to help explain how a myriad of microinteractions (usually at the individual level) helps govern the activities of macrostructures.
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A great example of a nonlinear system exhibiting chaos is all around you: the weather.
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A further analysis, where G. Nicolis played a key role, showed that an unexpected phenomenon appeared while one considered the fluctuation problem in nonlinear systems far from equilibrium: the distribution law of fluctuations depends on their scale, and only "small fluctuations" follow the law proposed by Einstein. 29 After a prudent reception, this result is now widely accepted, and the theory of non-equilibrium fluctuations is fully developing now, so as to allow us to expect important results in the following years.
Ilya Prigogine - Autobiography
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It was the first time to study closed loop nonlinear system of straight running stability of tractor-semitrailer, based on three DOF nonlinear dynamics model of farm tractor-semitrailer.
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Finally, the MAPLE symbolic program for calculating the third order normal form is given. The concrete normal form of six dimensional nonlinear systems is obtained.
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A new iterative learning controller with state estimation is developed for tracking different trajectories in a finite interval. A nonlinear system with uncertainties can be controlled by this scheme.
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RBF neural networks is a new tool for nonlinear system identification.
