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The optimal design of real-life systems modeled as finite queueing networks is a difficult stochastic optimization problem.
Here, a fractional order digital differentiator is modeled as finite impulse response (FIR) system to get an optimized frequency response that approximates the ideal response of a fractional order differentiator.
Considering the stochastic time-delay occurs in two channels which between sensor and controller, and between controller and actuator, networked control system with possible actuator fault is modeled as finite states discrete-time Markovian jump linear system with two modes.
Is that larger population modeled as finite or infinite?
The processing unit and transceiver are modeled as finite state machines (FSMs).
The bandpass filters (IMUX/OMUX) are modeled as finite impulse response (FIR) digital filters.
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Finite-state morphology assumes that both the word-formation rules (morphotactics) and the morpho-phonological alternation rules can be modeled as finite-state machines.
The blood cells are modeled as finite-deformation elastic membranes containing a higher viscosity fluid than the surrounding plasma, but the solver itself is independent of the particular constitutive model employed for the cell membranes.
Moreover, we assume that all the rayleigh fading channels can be modeled as finite-state Markov channel (FSMC) according to the received SNR [18].
The room environment between the source-microphone pair separated by some distance can be modeled as a finite impulse response (FIR) filter with a finite response termed as the RIR.
It is assumed that the delay process is modeled as a finite state Markov chain.
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