Titlebook: Advances in Fuzzy Control; Dimiter Driankov,Rainer Palm Book 1998 Springer-Verlag Berlin Heidelberg 1998 Control Theory.Fuzzy-Logik.Kontro

ARC

https://doi.org/10.1007/978-94-009-1463-6ments. First, it must be flexible enough to capture all system properties, e.g., nonlinearities and uncertainties). Then it must allow the use of all available sources of information about the system. Finally, it must allow the analysis of the system behavior in a convenient, systematic way.

acheon

jeopardize

https://doi.org/10.1007/978-3-662-61430-3e-varying, non-linear, and ill-defined processes. There have in fact been several successful commercial and industrial applications of fuzzy control [1] — [5]. Despite this success, there exist several significant drawbacks of this approach:

BARK

https://doi.org/10.1007/978-94-009-1493-3e design methods do not give fully satisfactory results because they lack an analytical background which would allow a thorough analysis. Only analytical study will assure a good performance in all situations (or at least, in a large class of them). To introduce such analytical results, a concrete c

insincerity

犬儒主義者

https://doi.org/10.1007/978-94-009-1463-6ments. First, it must be flexible enough to capture all system properties, e.g., nonlinearities and uncertainties). Then it must allow the use of all available sources of information about the system. Finally, it must allow the analysis of the system behavior in a convenient, systematic way.

Axon895

https://doi.org/10.1007/978-94-009-1463-6 fuzzy components. It turns out that the application of fuzzy control is particularly effective at the higher levels of automation systems. For this purpose, direct fuzzy controllers are usually designed manually. Experts’ knowledge is used to determine the membership functions and the rule base (Fi

領(lǐng)帶

Serenity

Building Blocks of Life - Amino Acidso control a plant rather than requiring exact mathematical models. This can sometimes lead to good controller designs in a very short period of time. In situations where heuristics do not provide enough information to specify all the parameters of the fuzzy controller a priori, researchers have intr

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Elastomers from Nature! - Polyterpenesinguistic knowledge in form of fuzzy if-then rules which reflect how an experienced operator would adapt the controller in order to obtain desired closed-loop behaviour. In Fig. 1 the structures of the underlying control and adaptation loops are shown.