Parametric optimization by using a canonical observable realization

Optimization includes two types of structural and parametric. The parametric optimization includes classical and state-space methods. In this paper, the desired cost function is minimized by using a state-space parametric optimization method. In state-space method, canonical observable realization is used to minimize of the desired cost function. Cost function an integral quadratic performance is assumed. Finally, by using evaluated equations, two examples by using a MATLAB are simulated. The results show the efficiency of evaluated equations.