Adaptive Control Of Nonlinear Hammerstein Model Using NLMS Filter. ICECS 2003: PROCEEDINGS OF THE 2003 10TH IEEE INTERNATIONAL CONFERENCE. pp. 439-442.

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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) filter in the feedback loop. This adaptive FIR filter is designed online as an L-delay approximate inverse system of the given stable nonlinear plant.

Item Type:	Article
Subjects:	Systems
Department:	College of Computing and Mathematics > lndustrial and Systems Engineering
Depositing User:	MR. ATIQ WALIULLAH SIDDIQUI
Date Deposited:	11 Jun 2008 06:46
Last Modified:	01 Nov 2019 13:43
URI:	http://eprints.kfupm.edu.sa/id/eprint/2402