Performance-recoverable intelligent digital redesign for fuzzy tracking controllers

摘要

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 is an element of R->0, respectively. It is proved that the analog control performance is recovered by the proposed intelligently digitally redesigned sampled-data controller in three perspectives-controller gain, stability, and closed-loop trajectory-when T goes to zero. (C) 2015 Elsevier Inc. All rights reserved.