Infinite-impulse and finite-impulse response filters for continuous-time parameter estimation

Gawthrop, P.J. and Wang, L. (2002) Infinite-impulse and finite-impulse response filters for continuous-time parameter estimation. In: Proceedings of the 15th IFAC World Congress, Barcelona, Spain, 21-26 July 2002, pp. 121-126. ISBN 0080442285

Abstract

This paper examines two classes of algorithms that estimate a continuous time ARX type of models from discrete data: one is based on infinite impulse response (IIR) filters while the other is based on finite impulse response (FIR) filters. The IIR filters use continuous time state variable filters, and discretisation is performed on the filtered derivatives. In contrast, the FIR filters are in a discrete form with carefully chosen coefficients to approximate the derivatives of the continuous time variables. The strength and weakness of each approach are discussed and demonstrated by a set of simulation examples.

• Item Type: Conference Proceedings
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Gawthrop, Professor Peter
• Authors: Gawthrop, P.J., and Wang, L.
• Subjects: Q Science > QA Mathematics
• College/School: College of Science and Engineering > School of Engineering > Systems Power and Energy
• ISBN: 0080442285