Extended State-Space Model of Discrete-Time Dynamical Systems

Jalil Fadavi-Ardekani; Sanjit K. Mitra; Brian D.O. Anderson

doi:10.1109/TCS.1982.1085191

Extended State-Space Model of Discrete-Time Dynamical Systems

Jalil Fadavi-Ardekani
, Sanjit K. Mitra
, Brian D.O. Anderson

School of Engineering

Research output: Contribution to journal › Article › peer-review

9 Citations (Scopus)

Abstract

A model for discrete-time dynamical systems is discussed in which the future values of the internal variables depend on the present and K − 1 previous time instants, where K is the order of the model. We outline transition matrix and impulse response calculations, equivalences between model and conventional state variable models, methods of constructing such a model, and means for calculating certain quantities relevant to the design of cost-optimal low-roundoff noise digital filters.

Original language	English
Pages (from-to)	547-556
Number of pages	10
Journal	IEEE Transactions on Circuits and Systems
Volume	29
Issue number	8
DOIs	https://doi.org/10.1109/TCS.1982.1085191
Publication status	Published - Aug 1982

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title = "Extended State-Space Model of Discrete-Time Dynamical Systems",

abstract = "A model for discrete-time dynamical systems is discussed in which the future values of the internal variables depend on the present and K − 1 previous time instants, where K is the order of the model. We outline transition matrix and impulse response calculations, equivalences between model and conventional state variable models, methods of constructing such a model, and means for calculating certain quantities relevant to the design of cost-optimal low-roundoff noise digital filters.",

author = "Jalil Fadavi-Ardekani and Mitra, \{Sanjit K.\} and Anderson, \{Brian D.O.\}",

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N2 - A model for discrete-time dynamical systems is discussed in which the future values of the internal variables depend on the present and K − 1 previous time instants, where K is the order of the model. We outline transition matrix and impulse response calculations, equivalences between model and conventional state variable models, methods of constructing such a model, and means for calculating certain quantities relevant to the design of cost-optimal low-roundoff noise digital filters.

AB - A model for discrete-time dynamical systems is discussed in which the future values of the internal variables depend on the present and K − 1 previous time instants, where K is the order of the model. We outline transition matrix and impulse response calculations, equivalences between model and conventional state variable models, methods of constructing such a model, and means for calculating certain quantities relevant to the design of cost-optimal low-roundoff noise digital filters.

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JO - IEEE Transactions on Circuits and Systems

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IS - 8

ER -

Extended State-Space Model of Discrete-Time Dynamical Systems

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