A 2-Dimensional Linear Non-minimum Phase Estimator Based on Dynamic Exceeded Regressor

In the paper, we proposed a 2-dimensional non-minimum phase linear regressor, to verify that in the procedure of dynamic extended regressor and mixing, with bounded functions of time, which persistence of excitation(PE) condition is absent, the parameter estimation errors could converge to 0. And a proposition of available form is given for the systems to meet the requirements of the dynamical extended regressor. Numeral and simple pendulum examples examine the results and simulations show the effectiveness.