In the early 1970s, fuzzy systems and fuzzy control theories added a new dimension to control systems engineering. From its beginnings as mostly heuristic and somewhat ad hoc, more recent and rigorous approaches to fuzzy control theory have helped make it an integral part of modern control theory and produced many exciting results. Yesterday's qartq of building a working fuzzy controller has turned into today's qscienceq of systematic design. To keep pace with and further advance the rapidly developing field of applied control technologies, engineers, both present and future, need some systematic training in the analytic theory and rigorous design of fuzzy control systems. Introduction to Fuzzy Sets, Fuzzy Logic, and Fuzzy Control Systems provides that training by introducing a rigorous and complete fundamental theory of fuzzy sets and fuzzy logic, and then building a practical theory for automatic control of uncertain and ill-modeled systems encountered in many engineering applications. The authors proceed through basic fuzzy mathematics and fuzzy systems theory and conclude with an exploration of some industrial application examples. Almost entirely self-contained, Introduction to Fuzzy Sets, Fuzzy Logic, and Fuzzy Control Systems establishes a strong foundation for designing and analyzing fuzzy control systems under uncertain and irregular conditions. Mastering its contents gives students a clear understanding of fuzzy control systems theory that prepares them for deeper and broader studies and for many practical challenges faced in modern industry.Table 4.2 Robot Arm Control Scheme Arm Motion PLC Outputs PLC Inputs Necessary Prior Conditions extend arm A4 ... Figure 4.4 shows the ladder logic diagram corresponding to Table 4.2, in which the standard symbols listed in Table 4.3anbsp;...

Title | : | Introduction to Fuzzy Sets, Fuzzy Logic, and Fuzzy Control Systems |

Author | : | Guanrong Chen, Trung Tat Pham |

Publisher | : | CRC Press - 2000-11-27 |

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