Stability analysis of nonlinear control systems with unconstrained fuzzy predictive controllers

• Autorzy: Marusak P. , Tatjewski P.
• Języki publikacji: EN

Abstrakty

EN

Stability analusis of nonlinear control systems with unconstrained fuzzy predictive controllers using input-output plant models (e.g. DMC, GPC) and nonlinear plants with delays is discussed in the paper. The idea is precisely explained using an example of control systems with fuzzy DMC (FDMC) controllers. The considered FDMC controller is based on analytical formulation of the DMC predictive control algorithm and Takagi-Sugeno fuzzy modeling. The atability analysis of the closed-loop nonlinear control system is based on a transformation of its description to the appropriate stste-space form. Theh the Tanaka-Sugeno stability criterion can be applied, consisting in solving a set of Lyapunov-type inequalities. The design procedure including the stability analysis is illustrated on examples.

Słowa kluczowe

EN

model predictive control; nonlinear systems; fuzzy systems; stability

• Wydawca: Polish Academy of Sciences, Committee of Automatic Control and Robotics
• Czasopismo: Archives of Control Sciences
• Rocznik: 2002
• Tom: Vol. 12, no. 3
• Strony: 267--288
• Opis fizyczny: Bibliogr. 18 poz., rys. tab.

Twórcy

autor

Marusak P.

• Warsaw University of Technology, Institute of Control and Computation Engineering; Nowowiejska 15/19, 00–665 Warsaw, Poland

autor

Tatjewski P.

• Warsaw University of Technology, Institute of Control and Computation Engineering; Nowowiejska 15/19, 00–665 Warsaw, Poland

Bibliografia

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