Suboptimal Design of An Augmented Automatic Choosing Control with Constrained Input by Using Hamiltonian and GA

Abstract

In this paper a nonlinear feedback control called augmented automatic choosing control (AACC) for a class of nonlinear systems with constrained input is presented. When designed the control, a constant term which arises from linearization of a given nonlinear system is treated as a coefficient of a stable zero dynamics. Parameters of the control are suboptimally selected by minimizing the Hamiltonian with the aid of a genetic algorithm.