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Nonlinear system control via feedback linearization using neural networks

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3 Author(s)
Abdel, H.A. ; Dept. of Electr. Power & Machines, Cairo Univ., Giza, Egypt ; Sakr, F.A.F. ; Bahgat, A.

This paper addresses the problem of feedback linearization of nonlinear systems. The existing linearization methods require complete knowledge of the system model. A new method for feedback linearization, avoiding this requirement which is rarely satisfied in practice, is proposed. The method is based on artificial neural networks (ANNs) that emulate the plant's Lie derivatives. Simulation results show satisfactory performance when the proposed ANN-based feedback linearization is included in a tracking control system

Published in:

Neural Networks, 1996., IEEE International Conference on  (Volume:4 )

Date of Conference:

3-6 Jun 1996