Control relevant system identification using orthonormal basis filters

Tufa, L.D. and Ramasamy, M. and Shuhaimi, M. and Patwardhan, S.C. (2007) Control relevant system identification using orthonormal basis filters. In: UNSPECIFIED.

Full text not available from this repository.
Official URL: https://www.scopus.com/inward/record.uri?eid=2-s2....

Abstract

Control relevant system identification deals with developing a dynamic model that can be used for design of a controller from experimental data. In this paper an iterative technique based on orthonormal basis filters is used to develop reduced complexity, control relevant models from input-output data that is corrupted with noise. It is also shown that a parsimonious general orthonormal basis filter (GOBF) model can be developed from a crude estimate of time constant with no prior knowledge of time delay. Unlike ARX, ARMAX and similar techniques the method presented does not require prior knowledge of the time delay. The identification technique is tested using simulated data and the result is found to be sufficiently accurate. ©2007 IEEE.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Additional Information: cited By 1; Conference of 2007 International Conference on Intelligent and Advanced Systems, ICIAS 2007 ; Conference Date: 25 November 2007 Through 28 November 2007; Conference Code:74506
Uncontrolled Keywords: Control systems; Delay control systems; Time delay, Experimental datums; Identification techniques; Iterative techniques; Orthonormal bases; Output datums; Prior knowledges; Reduced complexities; Simulated datums; System identifications; Time constants; Time- delays, Identification (control systems)
Depositing User: Mr Ahmad Suhairi UTP
Date Deposited: 09 Nov 2023 15:15
Last Modified: 09 Nov 2023 15:15
URI: https://khub.utp.edu.my/scholars/id/eprint/176

Actions (login required)

View Item
View Item