WASET
	@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},
	}