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