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A new T-S fuzzy model predictive control for nonlinear processes
Ilyes Boulkaibet
, Khaled Belarbi
, Sofiane Bououden
,
Tshilidzi Marwala
, Mohammed Chadli
Faculty of Engineering and the Built Environment
University of Johannesburg
Frères Mentouri Constantine 1 University
Abbès Laghrour University of Khenchala
Université de Picardie Jules Verne
Research output
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Contribution to journal
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Article
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peer-review
86
Citations (Scopus)
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Keyphrases
Kernel Ridge Regression
100%
Fuzzy Model Predictive Control
100%
Ridge Regression Algorithm
20%
Fuzzy Parameters
20%
Sliding Window
10%
Predictive Control Method
10%
K-means Algorithm
10%
Windows Kernel
10%
Unknown Nonlinear Systems
10%
Gradient Method
10%
Generalized Predictive Controller
10%
Cluster-based
10%
Surge Tank
10%
Kernel Recursive Least Squares
10%
Chemical Engineering
Predictive Control Model
100%
Nonlinear System
100%