Intelligent control in the process industries: Considerations for future research

Research output: Chapter in Book/Report/Conference proceedingChapter

4 Scopus citations

Abstract

Several exciting opportunities for the application of control technology have arisen over the last few years in the process industries. Particular topics of interest include autonomous systems, economic optimization, and system health management. Intelligent control - the synergistic integration of classical control with technologies such as neural networks, fuzzy logic, evolutionary computing, and chaos theory - is widely seen as a key to meeting these new challenges. However, the adoption of intelligent control by the control community requires a paradigm change - a progression from analytic to `post-analytic' control. Not just technology is at stake, but the processes and methodologies for research.

Original languageEnglish (US)
Title of host publicationProceedings of the IEEE Conference on Decision and Control
Editors Anon
Pages4512-4513
Number of pages2
Volume4
StatePublished - Dec 1 1996
EventProceedings of the 35th IEEE Conference on Decision and Control. Part 4 (of 4) - Kobe, Jpn
Duration: Dec 11 1996Dec 13 1996

Other

OtherProceedings of the 35th IEEE Conference on Decision and Control. Part 4 (of 4)
CityKobe, Jpn
Period12/11/9612/13/96

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