摘要
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.
Fuzzy systems can be used to identify nonlinear dynamic systems in two modes. One is series-parallel mode and 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 parallel fuzzy systems meet some prerequisites, the parallel prediction procedure converges and the parallel identification algorithm locally converges. This conclusion has instructive significance for parallel fuzzy systems' application.
出处
《计算机科学》
CSCD
北大核心
2002年第12期174-176,161,共4页
Computer Science
关键词
模糊集理论
并行模糊系统
预测
系统辨识
收敛性
Fuzzy system, Parallel identification, Convergence, Nonlinear dynamic system
