TY - JFULL AU - Toshinori Nawata PY - 2014/8/ TI - Design of an Augmented Automatic Choosing Control with Constrained Input by Lyapunov Functions Using Gradient Optimization Automatic Choosing Functions T2 - International Journal of Mechanical and Mechatronics Engineering SP - 1207 EP - 1213 VL - 8 SN - 1307-6892 UR - https://publications.waset.org/pdf/9998880 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 91, 2014 N2 - 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 maximizing the stable region in the sense of Lyapunov with the aid of a genetic algorithm. This approach is applied to a field excitation control problem of power system to demonstrate the splendidness of the AACC. Simulation results show that the new controller can improve performance remarkably well. ER -