Neural network approach to variable structure based adaptive tracking of SISO systems
Resource
Variable Structure Systems, 1996. VSS '96. Proceedings., 1996 IEEE International Workshop on
Journal
IEEE International Workshop on Variable Structure Systems, 1996. VSS '96
Pages
-
Date Issued
1996-12
Date
1996-12
Author(s)
DOI
N/A
Abstract
This paper presents a novel approach to adaptive tracking control of linear SISO systems, which can solve the traditional model reference adaptive control (MRAC) problems. In this approach, a neural network universal approximator is included to furnish an online estimate of a function of the state and some signals relevant to the desired trajectory. The salient feature of the present work is that a rigorous proof via Lyapunov stability theory is provided. It is shown that the output error will fall into a residual set which can be made arbitrarily small.
Type
journal article
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