Adaptive control of nonlinear Hammerstein model using NLMS filter

Muhammad Shafiq, Fouad M. AL-Sunni, Syed O. Farooq

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

A novel technique, using the normalized least mean squares (NLMS) adaptive filter is proposed for adaptive control of the plant dynamics of a nonlinear plant. The nonlinear plant considered belongs to the Hammerstein type of nonlinear system. Stable adaptive controller for a stable discrete time nonlinear plant is designed. The nonlinear plant considered may be non-minimum phase. The controller is composed of an adaptive finite impulse response (FIR) fdter in the feedback loop. This adaptive FIR filter is designed online as an L-delay approximate inverse system of the given stable nonlinear plant.

Original languageEnglish
Title of host publicationICECS 2003 - Proceedings of the 2003 10th IEEE International Conference on Electronics, Circuits and Systems
Pages439-442
Number of pages4
DOIs
Publication statusPublished - 2003
Externally publishedYes
Event2003 10th IEEE International Conference on Electronics, Circuits and Systems, ICECS2003 - Sharjah, United Arab Emirates
Duration: Dec 14 2003Dec 17 2003

Publication series

NameProceedings of the IEEE International Conference on Electronics, Circuits, and Systems
Volume2

Other

Other2003 10th IEEE International Conference on Electronics, Circuits and Systems, ICECS2003
Country/TerritoryUnited Arab Emirates
CitySharjah
Period12/14/0312/17/03

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Adaptive control of nonlinear Hammerstein model using NLMS filter'. Together they form a unique fingerprint.

Cite this