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A robust controller is designed using the backstepping technique based on a suitable state-space model of the converter.
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Clearly, choosing a suitable state-space representation is just as important as choosing the learning algorithm operating on it.
A number of state-aggregation techniques attempt to solve the former problem by formulating the search for a suitable state space as an optimization problem.
Therefore, there remain two important issues, namely, how to build an effective state-space model for approximating the true mapping process and how to choose the suitable state-space models among candidate models at each time.
This approach relies on the definition of a state-space signal model suitable for frequency tracking purposes.
Also a FIF is the fixed point of the Read-Bajraktarević operator on a suitable function space.
In the theory of ordinary differential equations, spectral methods on a suitable Hilbert space are used to study the behavior of eigenvalues and eigenfunctions of differential equations.
It is based on continuous time Markov process applied on a Boolean state space.
The reduction method bases on a hierarchically structured state space transformation.
The modeling goal is to produce a mathematical description in nonlinear state-space form that is suitable for control-oriented model analysis and preliminary controller design experiments.
In this paper, a new parallel-form realization of 2-D adaptive separable-denominator state-space filters suitable for high-speed processing is proposed.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com