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Adaptive Control Of Nonlinear Hammerstein Model Using NLMS Filter

Shafiq, Muhammad and AL-Sunni, Fouad and Farooq, SO 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
Creators:Shafiq, Muhammad and AL-Sunni, Fouad and Farooq, SO
Email:mshafiq@ccse.kfupm.edu.sa, alsunni@kfupm.edu.sa, UNSPECIFIED
ID Code:2402
Deposited By:MR. ATIQ WALIULLAH SIDDIQUI
Deposited On:11 Jun 2008 09:46
Last Modified:12 Apr 2011 13:13

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