To overcome the large memory expense in the process of on-line identification by utilizing support vector machine(SVM), least squares support vector machine (LS-SVM) was combined with recursive least square(RLS), the weigh vector and bias were adjusted on-line by RLS algorithm, and on-line identification of inverse dynamic model of system was realized.

The recursive least square can regulate the Q and R matrix dynamicly and rapidly.

Firstly,the method establishes a heat balance model through modifying the parameter of academic reac- tion heat balance expressions using the recursive least square method.

Application of RLS in warning controller;

RLS parameter identification and emulate based on matlab/simulink;

Its parameters are identified with the Recursive Least Square method(RLS).

Then,the coefficients of consequent components in T-S fuzzy logic controller were to be determined with recursive least square algorithm for the empirical data while the membership function parameters of input variable were unaltered.

Based on system identification with recursive least squares method,the NLJ optimizing algorithm is used to tune the PID control parameters.

Based on Hankel s matrix method and augmented least square recursive algorithm,the paper features the recursive least squares method of nonlinear parameter estimation with forgetting factor by introducing the constraint indicator of .

Multilayer wavelet network structure is determined by genetic algorithm and the weights are identified by Recursive Least Squares with f.