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  5. Building intelligent predictive nonlinear process control systems

Building intelligent predictive nonlinear process control systems

I. Gulina, A. Martynenko, A. Gulin
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We performed an analysis and justification of the methodology of the evaluation algorithms, identification of optimal control synthesis and adaptation to the creation of highly nonlinear systems of automatic control of technological processes with intelligent forecasting.
Keywords: control system, adaptation, identification, intelligent predictive models, non-linear process