Resolution of optimizing control problems of fuzzy steady-state systems
H. Sidaoui, Sadao Isotani · 2002
In this paper, we use Bellman and Zadeh's fuzzy model of decision to derive an optimization procedure applied to steady-state optimizing control of systems which do not admit precise mathematical description. The proposed procedure is able to overcome the major difficulty represented by the "nonregular" form of the functions to be optimised providing efficient tools for the optimization of large-scale fuzzy systems.