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Neural network approach to variable structure based adaptive tracking of SISO systems

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1 Author(s)
Li-Chen Fu ; Dept. of Electr. Eng., Nat. Taiwan Univ., Taipei, Taiwan

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

Published in:

Variable Structure Systems, 1996. VSS '96. Proceedings., 1996 IEEE International Workshop on

Date of Conference:

5-6 Dec 1996