Chapter 5 Perspectives on Fuzzy Control Overview Fuzzy control does not exist as an isolated topic devoid of relationships to other fields, and it is important to understand how it relates to these other fields in order to strengthen your understanding of it. We have emphasized that fuzzy control has its foundations in conventional control and that there are many relationships to techniques, ideas, and methodologies there. Fuzzy control is also an "intelligent control" technique, and hence there are certain relationships between it and other intelligent control methods. We begin the chapter in Section by providing a conventional control engineering perspective on fuzzy control. This is essentially a summary of many of the points that we have made throughout the text, but here we bring them all together. Following this, in Section we introduce two popular areas in works, the multilayer perceptron and the radial basis function work. We explain that a class of radial basis function works is identical to a class of fuzzy systems. Moreover, we explain how techniques covered in this book (., gradient training and adaptive control) can be used for works. In Section we explain ic algorithms, their relationship to the field of control, and particularly their use with fuzzy systems. Next, in Section we provide an overview of some of the relationships to knowledge-based systems, particularly expert systems (and hence expert control) and planning systems. Finally, in Section we provide an overview of the general area of (hierarchical) intelligent and autonomous control where we offer some ideas on how to define the field of intelligent control and how some of the most general intelligent controllers operate. This chapter is meant to provide a view of, and motivation for, the main areas in the field of intelligent control. Fuzzy Versus Conventional Control What are the advantages and disadvantages of fuzzy control pared to conventional contro
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