ONLINE PROCESS ESTIMATION BY ANNS AND SMITH CONTROLLER-DESIGN

A neural network approach for on-line parameter estimation in unknown or poorly known processes with a time delay is proposed. The case of p lants with unknown time delay and/or steady state gain has been consid ered. The main result of the paper is the analytical proof of the weig ht 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 adaptiv e Smith controller. Simulation results are included in the paper to il lustrate the proposed technique.