Predictive model reference control based on discrete laguerre network with integrator

Skultety, J.; Miklovičová, Eva; Bars, Ruth

doi:10.1109/pc.2013.6581434

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Cited by 3 publications

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“…Predictive control is a control strategy that is based on the prediction of the plant output over an extended horizon in the future, which enables the controller to predict future changes of the measurement signal and to base control actions on the prediction [1], [2], [3].…”

Section: Introductionmentioning

confidence: 99%

Neuro-fuzzy predictive control of thermo-optical plant

Paulusová

Korosi

Dubravska

et al. 2015

2015 20th International Conference on Process Control (PC)

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In this paper neuro-fuzzy predictive controller for nonlinear system is addressed, proposed and tested. The proposed neuro-fuzzy convolution model consists of a steadystate neuro-fuzzy model and a gain independent impulse response model. The proposed model is tested in model based predictive control of a real laboratory plant. The basic principles of predictive control algorithm for thermo-optical plant are proposed. The paper deals with theoretical and practical methodology, offering approach for intelligent neuro-fuzzy control design and its successful application.

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Section: Introductionmentioning

confidence: 99%