Numerical robust stability analysis of fuzzy feedback linearisation regulator based on linear matrix inequality approach

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Numerical robust stability analysis of fuzzy feedback linearisation regulator based on linear matrix inequality approach

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A numerical robust stability analysis for the fuzzy feedback linearisation regulator is presented using linear matrix inequalities (LMI) theory. The well known Takagi–Sugeno fuzzy model is used as the nonlinear plant model. Uncertainty is assumed to be included in the model structure with known bounds. For this structured uncertainty, the closed system can be cast into a Lur'e system by a simple transformation. From the LMI stability condition for the Lur'e system, we can derive the robust stability condition for the fuzzy feedback linearisation regulator based on the Takagi–Sugeno fuzzy model. The effectiveness of the proposed analysis is illustrated by a computer simulation.

Inspec keywords: fuzzy control; robust control; nonlinear control systems; stability

Other keywords: LMl stability; robust stability; Takagi-Sugeno fuzzy model; linearisation regulator; linear matrix inequalities; nonlinear plant model; fuzzy feedback; Lur'e system; nonlinear control theory

Subjects: Stability in control theory; Fuzzy control; Nonlinear control systems

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