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Titlebook: Engineering Systems with Intelligence; Concepts, Tools and Spyros G. Tzafestas Book 1991 Springer Science+Business Media Dordrecht 1991 Fu

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書(shū)目名稱(chēng)Engineering Systems with Intelligence
副標(biāo)題Concepts, Tools and
編輯Spyros G. Tzafestas
視頻videohttp://file.papertrans.cn/311/310972/310972.mp4
叢書(shū)名稱(chēng)Intelligent Systems, Control and Automation: Science and Engineering
圖書(shū)封面Titlebook: Engineering Systems with Intelligence; Concepts, Tools and Spyros G. Tzafestas Book 1991 Springer Science+Business Media Dordrecht 1991 Fu
描述This book contains a selection of papers presented at the "European Robotics and Intelligent Systems Conference" (EURISCON ‘91) held in Corfu. Greece (June 23-28. 1991). It is devoted to the analysis. design and applications of technological systems with built-in intelligence achieved through appropriate blending of mathematical, symbolic. sensing. computer processing. and feedback control concepts. methods and software / hardware tools. System intelligence includes human-like capabilities such as learning. observation. perception. interpretation. reasoning. planning. decision making. and action. Integrated intelligent decision and control systems obey Saridis‘ prinCiple of Increasing Precision with Decreasing Intelligence (IPDI). and have a hierarchical structure with three basic levels. namely Organization. Coordination. and Execution Levels. As we proceed from the organization to the execution level. the precision about the jobs to be completed increases and accordingly the intelligence reqUired for these jobs decreases. As an example. it is mentioned here that in an intelligent robotic system the organization tasks can be realized using a neural net. the coordination tasks by a
出版日期Book 1991
關(guān)鍵詞Fuzzy; Sensor; Simulation; algorithms; automation; autonom; complex system; fuzzy logic; image processing; lo
版次1
doihttps://doi.org/10.1007/978-94-011-2560-4
isbn_softcover978-94-010-5130-9
isbn_ebook978-94-011-2560-4Series ISSN 2213-8986 Series E-ISSN 2213-8994
issn_series 2213-8986
copyrightSpringer Science+Business Media Dordrecht 1991
The information of publication is updating

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Book 1991execution level. the precision about the jobs to be completed increases and accordingly the intelligence reqUired for these jobs decreases. As an example. it is mentioned here that in an intelligent robotic system the organization tasks can be realized using a neural net. the coordination tasks by a
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Model-Based Architecture for High Autonomy Systemsormed. We propose a model-based architecture aimed at reducing the computational demands required to integrate high level symbolic models with low level dynamic models. Model construction methods are illustrated to outfit such an architecture with the models needed to meet assigned objectives.
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