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This paper presents a new hyper-chaotic system obtained by adding a nonlinear controller to the third equation of the three-dimensional autonomous Chen Lee chaotic system.
In this model, the Maxwell model is extended by adding a nonlinear elastic spring and an elasto-plastic model (spring-slider) in parallel.
The smoothing is performed by adding a nonlinear decay to the contours of the specular regions.
Next, we augmented the Kalman filter by adding a nonlinear filter.
The model was built by adding a nonlinear filter for speed decoding to the Kalman filter while the direction information was directly inferred by the Kalman filter.
While we use the standard Kalman filter for hand direction estimation, due to the nonlinear characteristics of hand speed profiles, we simply augment the Kalman filter by adding a nonlinear filter for hand speed estimation.
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This hyperchaotic complex system is constructed by adding a complex nonlinear term to the third equation of the chaotic complex Chen system with consideration it's all variables are complex.
Hence, we verified that adding a nonlinear filter improved performance further.
The CNF control law serves to improve the transient performance of the closed-loop system by adding an additional nonlinear feedback.
Since it is assumed that the users are distributed heterogeneously, the proportional fairness (α PF) algorithm is used to allocate users by adding a set of nonlinear constraints.
Signatures from the magnetospheric ring current that are not correctly accounted for can deform amplitudes resulting from ionospheric currents by adding a large-scale, nonlinear trend to the magnetic observations.
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