Fuzzy optimization method for the steady-state control of complex systems
A. Sidaoui, Z. Binder, René Perret · 2005
A novel methodology for resolving optimizing control problems of complex or ill-defined systems is presented based on fuzzy systems modeling and R. Bellman and L.A. Zadeh's (1970) fuzzy model of decisions. The authors propose the application of fuzzy techniques to optimize systems which usually cannot be described in precise mathematical terms. A numerical example is presented to illustrate the proposed approach.>