Expert Systems Applications in Advanced Control: Successes, Techniques, Requirements and Limitations : Proceedings of the Seventeenth Annual Advanced Control Conference, West Lafayette, Indiana, September 30- October 2, 1991 |
Contents
EXPERT SYSTEMS IN ADVANCED CONTROL | 1 |
REALTIME EXPERT SYSTEMSAN INDUSTRIAL | 35 |
RULES STATEMENTS AND IDIOMS E H Bristol | 51 |
Copyright | |
6 other sections not shown
Common terms and phrases
advanced control alarm algorithm analysis approach architecture Artificial Intelligence automation backpropagation capability cement kilns chaining rule complex control actions control strategy control system cost data base database DBase decision defined diagnostic distributed control system distribution dynamic environment example expected values expert system shell Expert System tool expertise feedforward Figure forward chaining function fuzzy logic fuzzy model Gensym implemented industry inference engine input integrated KATE kiln knowledge base knowledge representation LINKman loop manufacturing metaknowledge module monitoring neural net node nonlinear objects on-line OPAS operator interface optimization output parameters performance plant problem process control reactor real-time expert systems reasoning regression response RTAC rule base rule block rule-based Scarl sensor simulation situation specific static statistical supervisory TDC 3000 Expert techniques tion toolkit Tower trends typically validation variables