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Titlebook: Smart Electromechanical Systems; Mathematical and Sof Irina Leonidovna Tarasova,Boris Alexandrovich Kuli Book 2024 The Editor(s) (if applic

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發(fā)表于 2025-3-21 18:53:58 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Smart Electromechanical Systems
副標(biāo)題Mathematical and Sof
編輯Irina Leonidovna Tarasova,Boris Alexandrovich Kuli
視頻videohttp://file.papertrans.cn/869/868731/868731.mp4
概述Blends computing, data, and physical control for real-world interaction.Helps rational decision-making in SEMS with the help of a CNS.Explores emotions factor into SEMS behaviour for effective human i
叢書名稱Studies in Systems, Decision and Control
圖書封面Titlebook: Smart Electromechanical Systems; Mathematical and Sof Irina Leonidovna Tarasova,Boris Alexandrovich Kuli Book 2024 The Editor(s) (if applic
描述Intelligent electromechanical systems (SEMS) are used in cyber-physical systems that have the ability to integrate computing, transmission and storage of information, monitoring and management of objects of the physical world. Modern intelligent robots are created based on CMS modules. A distinctive feature of SEMS is the presence of a central nervous system (CNS) similar to a human one. The Central Nervous System ensures that decisions about appropriate behavior are made in accordance with the goals of SEMS based on rational knowledge about the environment in which it operates, and in accordance with its own technical and mental state. For the Central nervous system, the extraction and processing of this external information by the central nervous system is an integral part of the process of forming their situational control systems. Moreover, in order for SEMS to act expediently in a changing and unfamiliar environment and without human participation, it is necessary to endow them with properties similar to the mental properties of animals, since emotions and temperament are among the main assessments of the behavior of highly organized organisms. Therefore, it is quite natural t
出版日期Book 2024
關(guān)鍵詞Electromechanical Systems; SEMS; Cyber-Physical systems; Smart Systems; Decision making; control actions
版次1
doihttps://doi.org/10.1007/978-3-031-64277-7
isbn_softcover978-3-031-64279-1
isbn_ebook978-3-031-64277-7Series ISSN 2198-4182 Series E-ISSN 2198-4190
issn_series 2198-4182
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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Intelligent Information-Measuring System for Controlling the Operating Mode of Hydroelectric Power Pe inflow and consumption of water resources depends on many factors: meteorological and hydrological conditions, volumes of water resource consumption. The balance of water resources in the reservoir is monitored using sensors that measure water inflow and flow. The main problem of maintaining the w
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Creation of Databases and Formalization of Knowledge Using Identification of SEMS, Working Under Var systems of smart electromechanical systems. Of primary interest are developments in the field of real-time information gathering systems and control of complex physical and technical systems, which in the vast majority of cases are dynamic objects operating under conditions of all kinds of limitati
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New Methods for Recognizing and Resolving Contradictions in Knowledgely, the authors proposed methods for dealing with paradoxes by means of .-structures as well as some methods for resolving contradictions in knowledge bases by adding a new attribute. The problem is that those results do not explain the reasons for many other paradoxes and some contradictions in kno
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Intellectual Model of Mobile Robots Coalitions Formation in Network-Centric Group Control Systemsh should provide the ability to solve a wide class of tasks under uncertain environment. One of the basic mechanisms of structural-goal adaptation is the formation of coalitions of mobile robots with a heterogeneous structure and focused on solving complex tasks corresponding to the current situatio
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Design Ontology for Situational Digital Twins in Modeling Structural Safety Within a Group of IntellSEMS robots by means of the intelligent modeling system previously developed by the author. .: To increase the flexibility of modeling newly created collectives of robots, the concept of structural safety is presented, which generalizes ways to take into account various known aspects of safety. The
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