A series of discrete-time models of a continuous-time system based on fluency signal approximation

Author

Bambang, S. ; Toraichi, K. ; Iwaki, M. ; Inaba, H.

Author_Institution

Wisdom Systems Lab., Tsukuba Univ., Japan

Volume

2

fYear

1993

fDate

19-21 May 1993

Firstpage

493

Abstract

A series of discrete-time models of a continuous-time system based on m-order fluency signal approximation is derived. It is shown that the series of models includes and generalizes the conventional system model based on the assumption of staircase (sample hold) signal input (m = 1). The adaptive discretization is obtained by selecting the appropriate order m within a given tolerance of the approximation error incurred in assuming the input signal according to the characteristics (continuous differentiability) of input signals of the continuous-time system dealt with

Keywords

adaptive filters; approximation theory; continuous time systems; discrete time filters; modelling; signal processing; adaptive discretization; approximation error; continuous differentiability; continuous-time system; discrete-time models; fluency signal approximation; staircase; tolerance; Aerospace industry; Aircraft; Digital filters; Digital signal processing; Filtering; Kalman filters; Mathematical model; Sampling methods; Signal processing; Signal sampling;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications, Computers and Signal Processing, 1993., IEEE Pacific Rim Conference on

Conference_Location

Victoria, BC

Print_ISBN

0-7803-0971-5

Type

conf

DOI

10.1109/PACRIM.1993.407314

Filename

407314