Prediction and Identification Algorithm Convergence of Parallel Fuzzy Systems
并行模糊系统的预测和辨识收敛性

Fuzzy systems can be used to identify nonlinear dynamic systems in two modes. One is series-parallel modeand the other is parallel mode. The prediction and identification algorithm convergence of nonlinear dynamic system i-dentification using parallel fuzzy systems is discussed in this paper. It is proved that as long as the parameters of par-allel fuzzy systems meet some prerequisites, the parallel prediction procedure converges and the parallel identificationalgorithm locally converges. This conclusion has instructive significance for parallel fuzzy systems' application.