Adaptive control of nonlinear Hammerstein model using NLMS filter

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

doi:10.1109/ICECS.2003.1301816

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 proceeding › Conference 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 language	English
Title of host publication	ICECS 2003 - Proceedings of the 2003 10th IEEE International Conference on Electronics, Circuits and Systems
Pages	439-442
Number of pages	4
DOIs	https://doi.org/10.1109/ICECS.2003.1301816
Publication status	Published - 2003
Externally published	Yes
Event	2003 10th IEEE International Conference on Electronics, Circuits and Systems, ICECS2003 - Sharjah, United Arab Emirates Duration: Dec 14 2003 → Dec 17 2003

Publication series

Name	Proceedings of the IEEE International Conference on Electronics, Circuits, and Systems
Volume	2

Other

Other	2003 10th IEEE International Conference on Electronics, Circuits and Systems, ICECS2003
Country/Territory	United Arab Emirates
City	Sharjah
Period	12/14/03 → 12/17/03

ASJC Scopus subject areas

Electrical and Electronic Engineering

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10.1109/ICECS.2003.1301816

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Shafiq, M., AL-Sunni, F. M., & Farooq, S. O. (2003). Adaptive control of nonlinear Hammerstein model using NLMS filter. In ICECS 2003 - Proceedings of the 2003 10th IEEE International Conference on Electronics, Circuits and Systems (pp. 439-442). [301816] (Proceedings of the IEEE International Conference on Electronics, Circuits, and Systems; Vol. 2). https://doi.org/10.1109/ICECS.2003.1301816

Adaptive control of nonlinear Hammerstein model using NLMS filter. / Shafiq, Muhammad; AL-Sunni, Fouad M.; Farooq, Syed O.

ICECS 2003 - Proceedings of the 2003 10th IEEE International Conference on Electronics, Circuits and Systems. 2003. p. 439-442 301816 (Proceedings of the IEEE International Conference on Electronics, Circuits, and Systems; Vol. 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Shafiq, M, AL-Sunni, FM & Farooq, SO 2003, Adaptive control of nonlinear Hammerstein model using NLMS filter. in ICECS 2003 - Proceedings of the 2003 10th IEEE International Conference on Electronics, Circuits and Systems., 301816, Proceedings of the IEEE International Conference on Electronics, Circuits, and Systems, vol. 2, pp. 439-442, 2003 10th IEEE International Conference on Electronics, Circuits and Systems, ICECS2003, Sharjah, United Arab Emirates, 12/14/03. https://doi.org/10.1109/ICECS.2003.1301816

Shafiq M, AL-Sunni FM, Farooq SO. Adaptive control of nonlinear Hammerstein model using NLMS filter. In ICECS 2003 - Proceedings of the 2003 10th IEEE International Conference on Electronics, Circuits and Systems. 2003. p. 439-442. 301816. (Proceedings of the IEEE International Conference on Electronics, Circuits, and Systems). https://doi.org/10.1109/ICECS.2003.1301816

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AB - 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.

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Adaptive control of nonlinear Hammerstein model using NLMS filter

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