PROJECT TITLE :

Decentralised H∞ fuzzy filter for non-linear large-scale systems under imperfect premise matching

ABSTRACT:

This study presents a decentralised H∞ filter design drawback for non-linear giant-scale systems that are represented based mostly on the Takagi–Sugeno fuzzy model. To boost the design flexibility of the fuzzy filter for non-linear large-scale systems, the imperfect premise matching problem is adopted in the filter style procedure. In the sense of fuzzy Lyapunov, sufficient conditions for each asymptotic stability of the error system and a prescribed level of the H∞ norm are ensured to guarantee the H∞ fuzzy filter performance. The sufficient conditions are formulated in terms of linear matrix inequalities, that can be solved efficiently using convex optimisation algorithms. Finally, simulation examples are provided to verify the feasibility of the proposed approach.