Valiollah Ghaffari

Generally, achieving robust performance, as well as improving transient response and steady-state accuracy, are main objectives that researchers take into account while analyzing a control problem. The mentioned items would be referred as desired performance indices. So far, various techniques have been presented to investigate each of the aforementioned criterion. However, composite nonlinear feedback (CNF) control is exclusively suggested for enhancing the transient behavior under constraints. In this thesis, to improve the transient performance in regulation problem, a robust CNF control law is developed to uncertain systems in the presence of input saturations. Hence, having a fast response with poor damping ratio, the linear term of the CNF controller is firstly designed to stabilize the closed-loop system. Then the nonlinear section is selected to reduce the overshoot induced by the linear part. The coefficients of the integral controller are numerically obtained using linear matrix inequality (LMI). The proposed scheme is applied to some example with uncertainty and saturated input. The efficiency of the proposed approach will be validated by comparing the results with similar methods.