control of uncertain systems by feedback linearization with neural networks augmentation. part ii. controller validation by numerical simulation

control of uncertain systems by feedback linearization with neural networks augmentation. part ii. controller validation by numerical simulation

;Adrian TOADER;Ioan URSU
biotechnology letters 2010 Vol. 2 pp. 107-116
260
toader2010incascontrol

Abstract

The paper was conceived in two parts. Part I, previously published in this journal, highlighted the main steps of adaptive output feedback control for non-affine uncertain systems, having a known relative degree. The main paradigm of this approach was the feedback linearization (dynamic inversion) with neural network augmentation. Meanwhile, based on new contributions of the authors, a new paradigm, that of robust servomechanism problem solution, has been added to the controller architecture. The current Part II of the paper presents the validation of the controller hereby obtained by using the longitudinal channel of a hovering VTOL-type aircraft as mathematical model.

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0x95644003c57E6F55A65596E3D9Eac6813e3566dA
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163900
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10.13111/2066-8201.2010.2.3.12
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Scimatic Chain (ID: 481)
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