Fuzzy control systems provide a systematic framework for regulating complex and uncertain processes by interpreting imprecise data through linguistic rules and membership functions. At their core, ...
The Takagi--Sugeno (T--S) fuzzy descriptor system offers a promising avenue for controlling non-linear systems but lacks optimal control strategies. Moreover, while robust control methods have been ...
Academics have developed a maximum power point tracking (MPPT) algorithm for PV systems that combines incremental conductance with fuzzy logic control. The inputs used are the sum of conductance and ...
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