@article{(Open Science Index):https://publications.waset.org/pdf/14564,
	  title     = {Computer Simulations of an Augmented Automatic Choosing Control Using Automatic Choosing Functions of Gradient Optimization Type},
	  author    = {Toshinori Nawata},
	  country	= {},
	  institution	= {},
	  abstract     = {In this paper we consider a nonlinear feedback
control called augmented automatic choosing control (AACC)
using the automatic choosing functions of gradient optimization
type for nonlinear systems. Constant terms which arise from sectionwise
linearization of a given nonlinear system are treated as
coefficients of a stable zero dynamics. Parameters included in the
control are suboptimally selected by minimizing the Hamiltonian
with the aid of the 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 Computer and Information Engineering},
	  volume    = {4},
	  number    = {11},
	  year      = {2010},
	  pages     = {1705 - 1710},
	  ee        = {https://publications.waset.org/pdf/14564},
	  url   	= {https://publications.waset.org/vol/47},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 47, 2010},
	}