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H Ku has analyzed behavioral modeling of nonlinear RF power amplifiers with memory effects in [3].
Accurate modeling of nonlinear microwave devices is critical for reliable design of microwave circuit and system.
Hence, the fuzzy models (ANFIS) are used because of their flexibility in modeling of nonlinear phenomena such as rainfall runoff.
Some new techniques for reduced order (macro) modeling of nonlinear systems with time periodic coefficients are discussed in this paper.
Accurate modeling of nonlinear wave propagation over mildly or rapidly varying topography is an important topic in costal/ocean engineering.
The NARX network is a dynamical neural architecture commonly used for input output modeling of nonlinear dynamical systems.
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Models of nonlinear programming were then constructed.
Firstly, we give a general model of nonlinear singular systems.
When the investment outlay is neglected, the forced van der Pol model of nonlinear economic cycles is the van der Pol model of nonlinear business cycles.
When (a=0), (4) is the unforced van der Pol model of nonlinear business cycles.
A new behavioral model of nonlinear RF power amplifiers (PA) is presented to treat memory effects.
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