| 书目名称 | Modelling and Control for Intelligent Industrial Systems | | 副标题 | Adaptive Algorithms | | 编辑 | Gerasimos G. Rigatos | | 视频video | | | 概述 | Overview of the design, control and modeling of intelligent industrial systems.Combines different research disciplines such as robotics, automation, estimation theory, multi-sensor fusion, fault diagn | | 丛书名称 | Intelligent Systems Reference Library | | 图书封面 |  | | 描述 | .Incorporating intelligence in industrial systems can help to increase productivity, cut-off production costs, and to improve working conditions and safety in industrial environments. This need has resulted in the rapid development of modeling and control methods for industrial systems and robots, of fault detection and isolation methods for the prevention of critical situations in industrial work-cells and production plants, of optimization methods aiming at a more profitable functioning of industrial installations and robotic devices and of machine intelligence methods aiming at reducing human intervention in industrial systems operation..To this end, the book analyzes and extends some main directions of research in modeling and control for industrial systems. These are: (i) industrial robots, (ii) mobile robots and autonomous vehicles, (iii) adaptive and robust control of electromechanical systems, (iv) filtering and stochastic estimation for multisensor fusion and sensorless control of industrial systems (iv) fault detection and isolation in robotic and industrial systems, (v) optimization in industrial automation and robotic systems design, and (vi) machine intelligence for r | | 出版日期 | Book 2011 | | 关键词 | Adaptive Systems; Dynamic Systems Modeling; Industrial Robots; Intelligent Industrial Systems; Mobile Ro | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-642-17875-7 | | isbn_softcover | 978-3-662-50665-3 | | isbn_ebook | 978-3-642-17875-7Series ISSN 1868-4394 Series E-ISSN 1868-4408 | | issn_series | 1868-4394 | | copyright | Springer Berlin Heidelberg 2011 |
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发表于 2025-3-21 17:13:27
