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Adaptive control and identification using one neural network for a class of plants with uncertainties

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3 Author(s)
Tsuji, T. ; Dept. of Ind. & Syst. Eng., Hiroshima Univ., Japan ; Bing Hong Xu ; Kaneko, M.

This paper proposes a new neural adaptive control method that can perform adaptive control and identification for a class of controlled plants with linear and nonlinear uncertainties. This method uses a single neural network for both control and identification, and a sufficient condition of the local asymptotic stability is derived. Then, in order to illustrate the applicability of the proposed method, it is applied to the torque control of a flexible beam that includes linear and nonlinear structural uncertainties

Published in:
Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions on  (Volume:28 ,  Issue: 4 )

Date of Publication: Jul 1998

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