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This paper addresses the synchronization of nonlinear drive and response systems under input saturation and subject to input time-delay.
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The principal contribution of this paper is a result concerning the continuous dependence of a generalized steady state solution of nonlinear driven differential equations, with respect to parameter variations which cause the order of the differential equation to change.
Recently, an array of optomechanical resonators has been suggested for simulating many-body nonlinear driven dissipative quantum dynamics [19].
Whether the brain implements a nonlinear drive-reduction reward (as in Equation 2) or a linear approximation of it (as in Equation 13) can be examined experimentally.
Resonant locking is found to exist also for a nonlinear damper driven system.
Numerical illustrations are provided for a few nonlinear oscillators driven by additive and multiplicative noises.
A two-joint coupling nonlinear system driven by pneumatic artificial muscles is introduced in this paper.
It is practically useful to general nonlinear systems driven by non-stationary and non-Gaussian stochastic processes.
This paper is devoted to the adaptive finite-time control for a class of stochastic nonlinear systems driven by the noise of covariance.
A central issue in contemporary science is the development of nonlinear data driven statistical dynamical models for time series of noisy partial observations from nature or a complex model.
In this study, a robust control scheme based on dynamic inversion using fuzzy neural networks (FNN) is designed to control a nonlinear aircraft driven by two different actuators (fins and reaction jets).
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