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In the field of control theory system identification is an important way of investigating and understanding the system. Several distinct approaches of system identification produce the different form of knowledge about the system. In system identification, neural network plays an important role. A novel technique has been considered to identify the(More)
—This paper presents a new & improved stability analysis for Takagi-Sugeno (T-S) Fuzzy system subjected to interval time-varying delay. The stability analysis provides a sufficient stability condition in an Linear Matrix Inequality (LMI) frame work that can estimate less conservative delay upper bound for a given lower bound of delay. The analysis is(More)
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