Journal
IEEE CIRCUITS AND SYSTEMS MAGAZINE
Volume 22, Issue 3, Pages 6-21Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/MCAS.2022.3160908
Keywords
Linear systems; Circuits and systems; Machine vision; Eigenvalues and eigenfunctions
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Two different approaches for describing discrete-time fractional linear systems are presented, one based on discrete derivatives and the other on bilinear transformations. Algorithms for obtaining impulse, step, and frequency responses are provided, along with analysis of state-variable representation.
Two different approaches for describing discrete-time fractional linear systems are presented. The first is based on the nabla and delta discrete-time derivatives. In this case, suitable exponentials are introduced and used to define discrete Laplace transforms. The second approach is based on the bilinear (Tustin) transformations. For both cases, appropriate algorithms for obtaining the impulse, step, and frequency responses are presented. The state-variable representation is also analysed.
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