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What is RFNN-Based Predictive Control for Industry about?

This document presents a methodology for using recurrent fuzzy neural networks (RFNNs) for predictive control of nonlinear industrial processes. The key aspects are: 1. An RFNN model is constructed and trained using a recursive least squares approach to identify the parameters of an unknown nonlinear process. 2. A generalized predictive control law with integral action is derived based on minimizing a modified predictive performance criterion using the RFNN model. 3. The stability of the resulting clos

Author

Helmy Yunan Ihnaton

Language

EN