Adaptive Control Of Nonlinear Hammerstein Model Using NLMS Filter

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
Divisions: College Of Computer Sciences and Engineering > Systems Engineering Dept
Depositing User: MR. ATIQ WALIULLAH SIDDIQUI
Date Deposited: 11 Jun 2008 09:46
Last Modified: 01 Nov 2019 16:43
URI: http://eprints.kfupm.edu.sa/id/eprint/2402