Fuzzy relational predictive identification
Fuzzy relational models typically generate poorer long-range predictions than conventional discrete input-output models. In this paper, a new on-line fuzzy relational identification algorithm (FRPI) is developed which minimizes the prediction error over a multi-point, user-defined prediction horizon. The new algorithm gave better long-range predictions than the single-point fuzzy relational identification algorithm of Shaw and Kruger (1992) and the recursive algorithm of Yi and Chung (1993). (C) 2000 Elsevier Science B.V. All rights reserved.
long-range prediction fuzzy identification adaptive control fuzzy relational structures