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Performance-recoverable intelligent digital redesign (IDR) in a fast sampling limit is proposed for fuzzy tracking controllers with time-varying references. IDR uses a delta operator and a piecewise linear—rather than constant—approximation of the reference improve the state-matching performance for both an extremely small and a large sampling period T∈R>0, respectively. It is proved that the analog...
This paper addresses an effective digital implementation of fuzzy control systems via an intelligent digital redesign (IDR) approach. The purpose of IDR is to effectively convert an existing continuous-time fuzzy controller to an equivalent sampled-data fuzzy controller in the sense of the state-matching. The authors show that, under reasonable assumptions, the IDR based on the exact discrete-time...
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