TY - BOOK ID - 7839944 TI - Modelling and control for intelligent industrial systems : adaptive algorithms in robotics and industrial engineering PY - 2011 SN - 364217874X 9786613084163 3642178758 1283084163 PB - Berlin : Springer-Verlag, DB - UniCat KW - Models, Biological -- congresses. KW - Engineering & Applied Sciences KW - Computer Science KW - Intelligent control systems. KW - Robotics KW - Industrial engineering. KW - Control systems. KW - Management engineering KW - Simplification in industry KW - Intelligent control KW - Intelligent controllers KW - Engineering. KW - Artificial intelligence. KW - Computational intelligence. KW - Robotics. KW - Automation. KW - Computational Intelligence. KW - Robotics and Automation. KW - Artificial Intelligence (incl. Robotics). KW - Automatic factories KW - Automatic production KW - Computer control KW - Engineering cybernetics KW - Factories KW - Industrial engineering KW - Mechanization KW - Assembly-line methods KW - Automatic control KW - Automatic machinery KW - CAD/CAM systems KW - Automation KW - Machine theory KW - Intelligence, Computational KW - Artificial intelligence KW - Soft computing KW - AI (Artificial intelligence) KW - Artificial thinking KW - Electronic brains KW - Intellectronics KW - Intelligence, Artificial KW - Intelligent machines KW - Machine intelligence KW - Thinking, Artificial KW - Bionics KW - Cognitive science KW - Digital computer simulation KW - Electronic data processing KW - Logic machines KW - Self-organizing systems KW - Simulation methods KW - Fifth generation computers KW - Neural computers KW - Construction KW - Industrial arts KW - Technology KW - Engineering KW - Value analysis (Cost control) KW - Artificial Intelligence. UR - https://www.unicat.be/uniCat?func=search&query=sysid:7839944 AB - 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 robots autonomy. The book will be a useful companion to engineers and researchers since it covers a wide spectrum of problems in the area of industrial systems. Moreover, the book is addressed to undergraduate and post-graduate students, as an upper-level course supplement of automatic control and robotics courses. ER -