Control of Nonlinear Systems Using Fuzzy Techniques Based on Incremental State Models of the Variable Type Employing the “Extremum Seeking” Optimizer

This work presents the design of a control algorithm based on an augmented incremental state-space model, emphasizing its compatibility with Takagi–Sugeno (T–S) fuzzy models for nonlinear systems. The methodology integrates key components such as incremental modeling, fuzzy system identification, di...

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Autors principals:	Basil Mohammed Al-Hadithi, Gilberth André Loja Acuña
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2025-07-01
Col·lecció:	Applied Sciences
Matèries:	incremental model Takagi–Sugeno model Extremum Seeking Control
Accés en línia:	https://www.mdpi.com/2076-3417/15/14/7791
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