Artificial Intelligence in Real-Time Control 1989
_tXSBQAAQBAJ
123
By:"Hua-Tian Li","Shi-Quan Su","M.G. Rodd"
"Technology & Engineering"
Published on 2014-07-04 by Elsevier
\u003cb\u003eReal\u003c/b\u003e-Time Control, Shenyang, PRC, 1989 USING DISCRETE AITECHNIQUES \u003cbr\u003e\nFOR \u003cb\u003eDESIGNING\u003c/b\u003e A \u003cb\u003eREAL\u003c/b\u003e-WORLD CONTROL SUPERVISOR W. B. Smuts and \u003cbr\u003e\nI. M. MacLeod Department of \u003cb\u003eElectrical Engineering\u003c/b\u003e, University of the \u003cbr\u003e\nWitwatersrand, Republic of South Africa Abstract. The mathematically based tools \u003cbr\u003e\nused by engineers to \u003cb\u003edesign\u003c/b\u003e control \u003cb\u003esystems\u003c/b\u003e are not adequate for \u003cb\u003edesigning\u003c/b\u003e \u003cbr\u003e\nsupervisory ...
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Papers presented at the workshop are representative of the state-of-the art of artificial intelligence in real-time control. The issues covered included the use of AI methods in the design, implementation, testing, maintenance and operation of real-time control systems. While the focus was on the fundamental aspects of the methodologies and technologies, there were some applications papers which helped to put emerging theories into perspective. The four main subjects were architectural issues; knowledge - acquisition and learning; techniques; and scheduling, monitoring and management.
This Book was ranked 10 by Google Books for keyword Designing Real Systems on electrical engineering.
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