@article{(Open Science Index):https://publications.waset.org/pdf/9999399, title = {An Augmented Automatic Choosing Control with Constrained Input Using Weighted Gradient Optimization Automatic Choosing Functions}, author = {Toshinori Nawata}, country = {}, institution = {}, abstract = {In this paper we consider a nonlinear feedback control called augmented automatic choosing control (AACC) for nonlinear systems with constrained input using weighted gradient optimization automatic choosing functions. 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 Energy and Power Engineering}, volume = {8}, number = {10}, year = {2014}, pages = {1761 - 1766}, ee = {https://publications.waset.org/pdf/9999399}, url = {https://publications.waset.org/vol/94}, bibsource = {https://publications.waset.org/}, issn = {eISSN: 1307-6892}, publisher = {World Academy of Science, Engineering and Technology}, index = {Open Science Index 94, 2014}, }