Introduction to Fuzzy Sets, Fuzzy Logic, and Fuzzy Control Systems

TRAMA

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.

NOTE EDITORE

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 "art" of building a working fuzzy controller has turned into today's "science" 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.

SOMMARIO

FUZZY SET THEORYClassical Set TheoryFuzzy Set TheoryInterval ArithmeticOperations on Fuzzy SetsFUZZY LOGIC THEORYClassical Logic TheoryThe Boolean AlgebraMulti-Valued LogicFuzzy Logic and Approximate ReasoningFuzzy RelationsFuzzy Logic Rule BaseFUZZY SYSTEM MODELINGModeling of the Static Fuzzy SystemsStability Analysis of Discrete-Time Dynamic Fuzzy SystemsModeling of Continuous-Time Dynamic Fuzzy SystemsStability Analysis of Continuous-Time Fuzzy SystemsControllability Analysis of Continuous-Time Dynamic Fuzzy SystemsAnalysis of Nonlinear Continuous-Time Dynamic Fuzzy SystemsFUZZY CONTROL SYSTEMSClassical Programmable Logic ControlFuzzy Logic Control I: A General Model-Free ApproachFuzzy Logic Control II: A General Model-Based ApproachFUZZY PID CONTROLLERSConventional PID ControllersFuzzy PID ControllersFuzzy PID Controllers: Stability AnalysisADAPTIVE FUZZY CONTROLFundamental Adaptive Fuzzy Control ConceptGain SchedulingFuzzy Self-Tuning RegulatorModel Reference Adaptive Fuzzy SystemsDual ControlSub-Optimal Fuzzy ControlAPPLICATIONS IN FUZZY CONTROLHealth Monitoring Fuzzy Diagnostic SystemsFuzzy Control of Image sharpness for Auto-focus CamerasFuzzy Control for Servo Mechanic SystemsFuzzy PID Controllers for Servo Mechanic SystemsFuzzy Controllers for Robotic ManipulatorNote: Each chapter also contains Problems and References

ALTRE INFORMAZIONI

• Condizione: Nuovo
• ISBN: 9780849316586
• Dimensioni: 9.25 x 6.25 in Ø 1.38 lb
• Formato: Copertina rigida
• Illustration Notes: 24 tables and 15 halftones
• Pagine Arabe: 328