Artificial Intelligence in Real-Time Control 1989: Proceedings of the Ifac Workshop, Shenyang, People's Republic of China, 19-21 September 1989 (I F A C WORKSHOP SERIES)

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. Content: IFAC WORKSHOP SERIES, Page ii Front Matter, Page iii Copyright, Page iv IFAC WORKSHOP ON ARTIFICIAL INTELLIGENCE IN REAL-TIME CONTROL 1989, Page v PREFACE, Page vii ARTIFICIAL INTELLIGENCE AND FEEDBACK CONTROL, Pages 1-11, H.B. Verbruggen, K.J. Åström KNOWLEDGE-BASED VISION SYSTEMS IN REAL-TIME CONTROL, Pages 13-18, M.G. Rodd, Q.M. Wu DISTRIBUTED ESTIMATION, INFERENCING AND MULTI-SENSOR DATA FUSION FOR REAL TIME SUPERVISORY CONTROL, Pages 19-24, C.J. Harris DISTRIBUTED INTELLIGENT OBJECTS IN AN ARCHITECTURE FOR REAL-TIME MONITORING AND CONTROL, Pages 25-30, V. Lun, I.M. MacLeod USING DISCRETE AI TECHNIQUES FOR DESIGNING A REAL-WORLD CONTROL SUPERVISOR, Pages 31-35, W.B. Smuts, I.M. MacLeod HARDWARE AND SOFTWARE STRUCTURE OF A REAL-TIME EXPERT SYSTEM FOR CONTROL OF CHEMICAL PLANTS, Pages 37-42, T. Respondek, V. Krebs MODELLING AND CONTROL FOR NONLINEAR TIME-DELAY SYSTEM VIA PATTERN RECOGNITION APPROACH1, Pages 43-48, Lan Zhou, Nan Ye, Yong-zai Lu A CLUSTERING METHOD OF KNOWLEDGE ACQUISITION IN A REAL-TIME CONTROL SYSTEM, Pages 49-51, Yu-Ji Huang TOWARDS INTELLIGENT PID CONTROL, Pages 53-58, K.J. Åström, C.C. Hang, P. Persson AN EXTENDED FEEDBACK STRUCTURE OF INTELLIGENT COMPUTER-AIDED CONTROL SYSTEMS DESIGN BASED ON OBJECT-ORIENTED LANGUAGE, Pages 59-64, O. Ono AN EXPERT SYSTEM SHELL FOR ANALYSIS OF REAL TIME SIGNALS, Pages 65-67, Tong Wei-Guang, Zhao Lin-Liang AN EXPERT SELF-LEARNING FUZZY CONTROLLER, Pages 69-73, Yu-Lan Zhou, Zhengyue Qiu ASYNCHRONOUS METHODS FOR EXPERT SYSTEMS IN REAL-TIME APPLICATIONS, Pages 75-78, Th. Beck, R.J. Lauber EVOLUTION OF EXPERT SYSTEMS FOR REAL-TIME PROCESS MANAGEMENT: A CASE STUDY ON MOTOR CONTROL, Pages 79-84, M.P. Lukas, R.A. Oyen, M.A. Keyes, A. Kaya NEURAL NETWORK BASED REAL-TIME PRODUCTION SCHEDULING FOR INDUSTRIAL PROCESSES1, Pages 85-90, Li-wei Bao, Yong-zai Lu EXPERT SYSTEM FOR SENSOR FAILURE DETECTION OF AIRCRAFT, Pages 91-96, Shi Zhongke APPLICATION OF EXPERT FUZZY CONTROLLER IN THE PENICILLIN FERMENTATION PROCESSES, Pages 97-100, E-hui Xu, Guo-hua Xu, Shi-liang Zhang THE RULE-BASED DISTILLATION DECISION AND CONTROL SYSTEM, Pages 101-106, Z. Song, J.C. Gao, C.H. Zhou APPLICATION OF INTELLIGENT CONTROL OF TIME-DELAY PROCESSES TO THE MIX MOISTURE CONTROL SYSTEM IN SINTERPLANTS, Pages 107-109, Zhang Huiping, En Yutian, Zhang Jinliang AUTHOR INDEX, Page 111 KEYWORD INDEX, Page 113 SYMPOSIA VOLUMES, Pages 115-116 WORKSHOP VOLUMES, Page 116