Structure identification of fuzzy model
Fuzzy Sets and Systems
Stability analysis and design of fuzzy control systems
Fuzzy Sets and Systems
Stability and stabilizability of fuzzy-neural-linear control systems
IEEE Transactions on Fuzzy Systems
An approach to fuzzy control of nonlinear systems: stability and design issues
IEEE Transactions on Fuzzy Systems
On stability of fuzzy systems expressed by fuzzy rules with singleton consequents
IEEE Transactions on Fuzzy Systems
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In this article, new approaches combining order reduction and stabilization of the TSK fuzzy nonlinear models are proposed. The use of singular perturbations technique for fuzzy process modeling, and the choice of an arrow form characteristic matrix to describe the obtained model, make the determination of reduced model and the design of the fuzzy stabilizing controllers easy. The case of a third order nonlinear Lur'e Postnikov system is considered to show the efficiency of the proposed approaches.