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 publicationProceedings of the IEEE International Conference on Electronics, Circuits, and Systems
Pages439-442
Number of pages4
Volume2
DOIs
Publication statusPublished - 2003
Event2003 10th IEEE International Conference on Electronics, Circuits and Systems, ICECS2003 - Sharjah, United Arab Emirates
Duration: Dec 14 2003Dec 17 2003

Other

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

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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  • Cite this

    Shafiq, M., AL-Sunni, F. M., & Farooq, S. O. (2003). Adaptive control of nonlinear Hammerstein model using NLMS filter. In Proceedings of the IEEE International Conference on Electronics, Circuits, and Systems (Vol. 2, pp. 439-442). [301816] https://doi.org/10.1109/ICECS.2003.1301816