第四章 Perspectives on Fuzzy Control 4.1 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 methodologi there. Fuzzy control is also an"intelligent control"technique, and hence there are certain relationships between it and other intelligent control methods. In this chapter we will provide a brief overview of some of the basic relationships between fuzzy control and other control methods. This will give the reader who has a good understanding of fuzzy control a glimpse of related topics in other areas. Moreover, it will give the reader who has a good understanding of other areas of control an idea of what the field of fuzzy control is concerned wit We begin the chapter in Section 4.2 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 4.3 we introduce two popular areas in neural networks, the multilayer perceptron and the radial basis function neural network. We explain that a class of radial basis function neural networks is identical to a class of fuzzy systems. Moreover, we explain how techniques covered in this book(e. g, gradient training and adaptive control)can be used for neural networks. In Section 4. 4 we explain genetic algorithms, their relationship to the field of control, and particularly their use with fuzzy systems. Next, in Section 4.5 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 4.6 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. We use an " intelligent vehicle highway system"problem to illustrate the use of the intelligent autonomous controller functional architecture This chapter is meant to provide a view of, and motivation for, the main areas in the field of intelligent control. The reader interested only in fuzzy control can certainly ignore this chapter; we do not, however, advise this as the relationships to other fields often suggest ideas on how to expand the basic fuzzy control methods and may provide key ideas on how to solve a control problem for a particular application. 4.2 Fuzzy Versus Conventional Control What are the advantages and disadvantages of fuzzy control as compared to conventional control? What are the perspectives of conventional control engineers on fuzzy control? In this section we will attempt to give answers to these questions by asking, and at least partially answering, a series of questions that we have accumulated over the years from a variety of engineers in industry and universities concerned about whether to use fuzzy or conventional control. We break the questions into three categories and use the questions to summarize several points made in earlier chapters 4.2.1 Modeling issues and design Methodology PDF文件使用" pdffactory Pro"试用版本创建ww. fineprint,com,cn第四章 Perspectives on Fuzzy Control 4.1 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. In this chapter we will provide a brief overview of some of the basic relationships between fuzzy control and other control methods. This will give the reader who has a good understanding of fuzzy control a glimpse of related topics in other areas. Moreover, it will give the reader who has a good understanding of other areas of control an idea of what the field of fuzzy control is concerned with. We begin the chapter in Section 4.2 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 4.3 we introduce two popular areas in neural networks, the multilayer perceptron and the radial basis function neural network. We explain that a class of radial basis function neural networks is identical to a class of fuzzy systems. Moreover, we explain how techniques covered in this book (e.g., gradient training and adaptive control) can be used for neural networks. In Section 4.4 we explain genetic algorithms, their relationship to the field of control, and particularly their use with fuzzy systems. Next, in Section 4.5 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 4.6 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. We use an "intelligent vehicle highway system" problem to illustrate the use of the intelligent autonomous controller functional architecture. This chapter is meant to provide a view of, and motivation for, the main areas in the field of intelligent control. The reader interested only in fuzzy control can certainly ignore this chapter; we do not, however, advise this as the relationships to other fields often suggest ideas on how to expand the basic fuzzy control methods and may provide key ideas on how to solve a control problem for a particular application. 4.2 Fuzzy Versus Conventional Control What are the advantages and disadvantages of fuzzy control as compared to conventional control? What are the perspectives of conventional control engineers on fuzzy control? In this section we will attempt to give answers to these questions by asking, and at least partially answering, a series of questions that we have accumulated over the years from a variety of engineers in industry and universities concerned about whether to use fuzzy or conventional control. We break the questions into three categories and use the questions to summarize several points made in earlier chapters. 4.2.1 Modeling Issues and Design Methodology PDF 文件使用 "pdfFactory Pro" 试用版本创建 www.fineprint.com.cn