HIGHLIGHTS
SUMMARY
Model-Based Fuzzy Control Development for Stochastic Systems Recently, researchers have been paying attention to approaches of model-based fuzzy control for stochastic systems. The model-based fuzzy control was developed using the Takagi-Sugeno fuzzy model, which can be used efficiently to approximate physical nonlinear systems. Taking into consideration multiple performance constraints in the model-based fuzzy control approach, a powerful fuzzy controller designed for stochastic nonlinear systems was investigated. Usually, the COVID epidemic, ship stabilizers, network systems, chemical changers, and hydraulic machines are several examples of physical systems where time delay is . . .
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