Fuzzy Descriptor System Modeling and Control of Lagrange Dynamics with Regional Pole-Placement Constraint | Zendy

Kang Jin-Shig | Zendy

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Fuzzy Descriptor System Modeling and Control of Lagrange Dynamics with Regional Pole-Placement Constraint

Author(s) -

Kang Jin-Shig

Publication year - 2004

Publication title -

journal of advanced computational intelligence and intelligent informatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.172

H-Index - 20

eISSN - 1343-0130

pISSN - 1883-8014

DOI - 10.20965/jaciii.2004.p0362

Subject(s) - control theory (sociology) , full state feedback , computer science , fuzzy logic , controller (irrigation) , constraint (computer aided design) , linear matrix inequality , simple (philosophy) , extension (predicate logic) , fuzzy control system , state (computer science) , simplicity , mathematical optimization , control (management) , mathematics , algorithm , artificial intelligence , philosophy , geometry , epistemology , agronomy , biology , programming language

We present a descriptor fuzzy model for Lagrange dynamics and a controller design algorithm based on state feedback pole placement. The fuzzy descriptor system (FDS) model is a simple extension of the original Takagi-Sugeno fuzzy model for which a new controller is designed based on the linear matrix inequality (LMI) theory. We show that LMI-based regional pole-placement design for the FDS is easily solved. Two examples explain the controller’s simplicity and easy design.

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