Ulteriori informazioni
Thisbook focuses on the fields of fuzzy logic, granular computing and alsoconsidering the control area. These areas can work together to solve variouscontrol problems, the idea is that this combination of areas would enable evenmore complex problem solving and better results. Inthis book we test the proposed method using two benchmark problems: the totalflight control and the problem of water level control for a 3 tank system. Whenfuzzy logic is used it make it easy to performed the simulations, these fuzzysystems help to model the behavior of a real systems, using the fuzzysystems fuzzy rules are generated and with this can generate the behavior ofany variable depending on the inputs and linguistic value. For this reason thiswork considers the proposed architecture using fuzzy systems and with thisimprove the behavior of the complex control problems.
Sommario
Theory and Background.- Control Problem and Proposed Method.- Simulation Results.- Conclusions.
Riassunto
This
book focuses on the fields of fuzzy logic, granular computing and also
considering the control area. These areas can work together to solve various
control problems, the idea is that this combination of areas would enable even
more complex problem solving and better results. In
this book we test the proposed method using two benchmark problems: the total
flight control and the problem of water level control for a 3 tank system. When
fuzzy logic is used it make it easy to performed the simulations, these fuzzy
systems help to model the behavior of a real systems, using the fuzzy
systems fuzzy rules are generated and with this can generate the behavior of
any variable depending on the inputs and linguistic value. For this reason this
work considers the proposed architecture using fuzzy systems and with this
improve the behavior of the complex control problems.
