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Online process estimation by ANNs and Smith controller design

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3 Author(s)
Balestrino, A. ; Dipt. di Sistemi Elettrici e Autom., Pisa Univ., Italy ; Verona, F.B. ; Landi, A.

A neural network approach for online parameter estimation in unknown or poorly known processes with a time delay is proposed. The case of plants with unknown time delay and/or steady state gain has been considered. The main result of the paper is the analytical proof of the weight distribution as a sampling centred on the correct value of the time delay. Such a property, along with the estimation of the steady-state gain of the process from the sum of the weights, leads to an accurate identification of the unknown parameters of a process with time delay. A practical application of such a result is the design of an adaptive Smith controller. Simulation results are included in the paper to illustrate the proposed technique

Published in:

Control Theory and Applications, IEE Proceedings -  (Volume:145 ,  Issue: 2 )

Date of Publication:

Mar 1998

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