A new algorithm of fuzzy on-line identification for nonlinear systems

A new fuzzy on-line identification algorithm for a nonlinear dynamic system is presented. This method combines the conventional on-line identification with fuzzy logic system. The nonlinear system is approximated by a set of fuzzy rules that describe the local linear dynamic in each subspace formed by fuzzifying the input and output space. The fuzzy space of input variables is partitioned by means of diagonal ANFIS method, the consequent parameters of the fuzzy rules are identified by means of weighted recursive least squares algorithm (WRLSA). The simulation results demonstrate that the proposed method is practical and efficient.