WASET
	@article{(Open Science Index):https://publications.waset.org/pdf/15731,
	  title     = {Fuzzy Control of Macroeconomic Models},
	  author    = {Andre A. Keller},
	  country	= {},
	  institution	= {},
	  abstract     = {The optimal control is one of the possible controllers
for a dynamic system, having a linear quadratic regulator and using
the Pontryagin-s principle or the dynamic programming method .
Stochastic disturbances may affect the coefficients (multiplicative
disturbances) or the equations (additive disturbances), provided that
the shocks are not too great . Nevertheless, this approach encounters
difficulties when uncertainties are very important or when the probability
calculus is of no help with very imprecise data. The fuzzy
logic contributes to a pragmatic solution of such a problem since it
operates on fuzzy numbers. A fuzzy controller acts as an artificial
decision maker that operates in a closed-loop system in real time.
This contribution seeks to explore the tracking problem and control
of dynamic macroeconomic models using a fuzzy learning algorithm.
A two inputs - single output (TISO) fuzzy model is applied to the
linear fluctuation model of Phillips and to the nonlinear growth model
of Goodwin.},
	    journal   = {International Journal of Economics and Management Engineering},
	  volume    = {2},
	  number    = {5},
	  year      = {2008},
	  pages     = {450 - 459},
	  ee        = {https://publications.waset.org/pdf/15731},
	  url   	= {https://publications.waset.org/vol/17},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 17, 2008},
	}