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The methodologies presented in this paper lay the foundation for the design of FLSs with robust properties that will be very useful in many practical modeling and control applications.
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Many practical models in interdisciplinary fields can be described with the help of fractional-order nonlinear partial differential equations NPDEs).
There are many practical models of self-interference which greatly affects the throughput of FD transmission.
Delay and impulsive effects exist widely in many practical models such as population models and neural networks.
In many practical systems, models of systems are described by NFDEs in which the models depend on the delays of state and state derivatives.
In many practical applications, these models enable a significant reduction of the computational time while maintaining an acceptable level of accuracy.
However, in many practical singular system models, the matrix (A_{22}) may be singular.
In many practical applications, parametric models with explanatory variables are used to estimate univariate survival functions for censored data.
Switched systems can be efficiently used to model many practical systems which are inherently multi-model in the sense that several dynamical systems are required to describe their behavior.
While the predictive capability of RANS models depends on many factors, for many practical flows the turbulence models are by far the largest source of uncertainty.
Fractional differential equations have received considerable attentions during the past few decades because they are useful for modeling many practical phenomena.
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