Optimization techniques for the design of a neural predictive controller

Abstract

In this paper, we present three different optimizing methods for the design of an external recurrent neural network based Smith predictive controller to compensate for large time-delays in nonlinear processes. These optimizing techniques are respectively the gradient descent method, the Newton-Raphson algorithm, and the method of LevenbergMarquardt. The… (More)
DOI: 10.1016/0925-2312(95)00112-3

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@article{Tan1996OptimizationTF, title={Optimization techniques for the design of a neural predictive controller}, author={Yonghong Tan and Achiel R. Van Cauwenberghe}, journal={Neurocomputing}, year={1996}, volume={10}, pages={83-96} }