Fuzzy-neural control theory applied to task-oriented proactive seamless migration application
by De-gan Zhang, Huai-bin Wang
International Journal of Advanced Mechatronic Systems (IJAMECHS), Vol. 2, No. 3, 2010

Abstract: The task-oriented proactive seamless migration is one of difficult problems to be solved in pervasive computing paradigm. Apparently, this function of seamless mobility is suitable for mobile web-based application. But when seamless migration for computing task of application is realised on PC, laptop, or PDA, there are several difficult problems to be solved, such as how to supply the proactive/attentive service for web-based worker. In order to realise e-application based on proactive seamless migration, we design and improve relative fuzzy-neural control approaches. Generally, the network can be classified into two. One is that fuzzy logic reasoning is completed by fuzzy weight in neural system. The other is that the input data must be fuzzified in the first or second level, but not weight. We discuss and study the second sort fuzzification in this paper. For proactive decision, fusion method based on fuzzy-neural control can make web-based application system keep advantage of fuzzy logic system and remain adaptive optimum in proactive/attentive service. The correctness and validity of our new approach have been tested.

Online publication date: Fri, 07-May-2010

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