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Titlebook: Soft Computing Based Modeling in Intelligent Systems; Valentina Emilia Balas,János Fodor,Annamária R. Vá Book 2009 Springer-Verlag Berlin

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書(shū)目名稱(chēng)Soft Computing Based Modeling in Intelligent Systems
編輯Valentina Emilia Balas,János Fodor,Annamária R. Vá
視頻videohttp://file.papertrans.cn/871/870429/870429.mp4
概述Contains the extended works originally presented at the IEEE International Workshop SOFA 2005.Includes supplementary material:
叢書(shū)名稱(chēng)Studies in Computational Intelligence
圖書(shū)封面Titlebook: Soft Computing Based Modeling in Intelligent Systems;  Valentina Emilia Balas,János Fodor,Annamária R. Vá Book 2009 Springer-Verlag Berlin
描述The book “Soft Computing Based Modeling in Intelligent Systems”contains the - tended works originally presented at the IEEE International Workshop SOFA 2005 and additional papers. SOFA, an acronym for SOFt computing and Applications, is an international wo- shop intended to advance the theory and applications of intelligent systems and soft computing. Lotfi Zadeh, the inventor of fuzzy logic, has suggested the term “Soft Computing.” He created the Berkeley Initiative of Soft Computing (BISC) to connect researchers working in these new areas of AI. Professor Zadeh participated actively in our wo- shop. Soft Computing techniques are tolerant to imprecision, uncertainty and partial truth. Due to the large variety and complexity of the domain, the constituting methods of Soft Computing are not competing for a comprehensive ultimate solution. Instead they are complementing each other, for dedicated solutions adapted to each specific pr- lem. Hundreds of concrete applications are already available in many domains. Model based approaches offer a very challenging way to integrate a priori knowledge into procedures. Due to their flexibility, robustness, and easy interpretability, the soft c
出版日期Book 2009
關(guān)鍵詞Wavelet; artificial intelligence; bioinformatics; control; evolution; evolutionary computation; fuzzy; fuzz
版次1
doihttps://doi.org/10.1007/978-3-642-00448-3
isbn_softcover978-3-642-10147-2
isbn_ebook978-3-642-00448-3Series ISSN 1860-949X Series E-ISSN 1860-9503
issn_series 1860-949X
copyrightSpringer-Verlag Berlin Heidelberg 2009
The information of publication is updating

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Interpolative-Type Control Solutions, simple controllers with robustness properties. In order to illustrate the above affirmations, two case studies are developed in the paper: an electromechanical ball and beam nonlinear system and a positioning system with Lyapunov constraints and state limitations.
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A Multi-structure Modeling Methodology,obtain a model of behavior to be able, for example, to compare different control laws of this type of system or to detect the sensor faults.The first idea is to define a model for each sample time. However an adaptive model depends on the inputs and its permanent evolution does not allow to compare several control laws.
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