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Abstract

In this paper on objective orientation is presented for controlling multi-objective

systems. The principles of this method is based
on an emotional learning and temporal difference learning, and has a neuro-fuzzy structure. The proposal method can control the
system in a way that objectives such as the
present conditions, the system action in the part and the control1ing aims are attained in the
best way and least amount of time.
The holistic structure of this paper is as fol1ows: first, in the third unit object oriented control is studied. The fourth unit deals with emotional learning as a method for
intel1igent control. In the fifth unit the
emotional control of temporal difference is
defined and discussed. The sixth unit presents
and discusses a new critic structure with
temporal difference learning and then Some
Multivariable systems, which are one of the most important controlling problems because
of coupling, are defined. Then in the last unit
the functional control structures used in this
paper are studied and the experimental results
are compared.