Neuro-fuzzy Control Is Sometimes Better than Crisp Control
نویسندگان
چکیده
The objective of this work is to present some results concerning the neuro-fuzzy control synthesis as applied to electrohydraulic servomechanisms actuating primary flight controls. This represents a remarkable control strategy, with antisaturating and antichattering properties, which is in fact independent of mathematical model of the system, thus achieving certain robustness and reducing complexity. Thus, the paper’s title is thought as a paraphrase to a recent sentence of Professor Michael Athans (MIT, Cambridge, USA): Crisp control is always better than fuzzy control (see: http://fuzzy.iau.dtu.dk/download/athans99/sld001.htm). 2000 Mathematics Subject Classification: 93C42 – fuzzy control, 93C95 – control applications.
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تاریخ انتشار 2006