@article{(Open Science Index):https://publications.waset.org/pdf/9998880, title = {Design of an Augmented Automatic Choosing Control with Constrained Input by Lyapunov Functions Using Gradient Optimization Automatic Choosing Functions}, author = {Toshinori Nawata}, country = {}, institution = {}, 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 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. }, journal = {International Journal of Mechanical and Mechatronics Engineering}, volume = {8}, number = {7}, year = {2014}, pages = {1208 - 1213}, ee = {https://publications.waset.org/pdf/9998880}, url = {https://publications.waset.org/vol/91}, bibsource = {https://publications.waset.org/}, issn = {eISSN: 1307-6892}, publisher = {World Academy of Science, Engineering and Technology}, index = {Open Science Index 91, 2014}, }