@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},
	}