Abstract
This papers presents a new approach for the stability and design of non-linear fuzzy inference systems. The approach is based on Takagi-Sugeno (T-S) fuzzy models. The paper derives the necessary conditions for the assignability of eigenvalues to a region in the s-plane and the necessary conditions to guarantee the stability of fuzzy models. The problem is solved via the Linear Matrix Inequality (LMI) method. The paper demonstrates the application in fault-tolerant control in a railway traction system using DSP in a hardware test-ring.
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