Artificial Intelligence in Real-Time Control 1989 : Proceedings of the Ifac Workshop, Shenyang, People's Republic of China, 19-21 September 1989
Ifac
Published on 31. July 1990
Book
Hardback
113 pages
978-0-08-040185-0 (ISBN)
Description
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.
More details
Language
English
Place of publication
Amsterdam
Netherlands
Publishing group
Elsevier Science & Technology
Target group
College/higher education
Professional and scholarly
Dimensions
Height: 310 mm
ISBN-13
978-0-08-040185-0 (9780080401850)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Hua-Tian Li | Shi-Quan Su | M. G. Rodd
Artificial Intelligence in Real-Time Control 1989
E-Book
07/2014
Elsevier
€54.95
Available for download
Content
Section headings and selected papers: Keynote Addresses. Knowledge-based vision systems in real-time control, M G Rodd & Q M Wu. D;stributed estimation, inferencing and multi-sensor data fusion for real-time supervisory control, C J Harris. Architectural Issues. Distributed intelligent objects in an architecture for real-time monitoring and control, V Lun & I M Macle;d. Knowledge-Acquisition and Learning. A clustering method of knowledge acquisition in a real-time control system, Yu-Ji Huang. Techniques. An extended feedback structure of intelligent computer-aided control systems design based on object-oriented language, O Ono. An expert self-learning fuzzy controller, Yu-Lan Zhou & Zhengyue ;iu. Scheduling, Monitoring and Management. Neural network based real-time production scheduling for industrial processes, Li-Wei Bao & Yong-Zai ;u. Application Studies. Application of expert fuzzy controller in the penicillin fermentation processes, E-Hui Xu et al . Author index. Keyword index.