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 language | English (US) |
|---|---|
| Title of host publication | Proceedings of the IEEE Conference on Decision and Control |
| Editors | Anon |
| Pages | 4512-4513 |
| Number of pages | 2 |
| Volume | 4 |
| State | Published - Dec 1 1996 |
| Event | Proceedings of the 35th IEEE Conference on Decision and Control. Part 4 (of 4) - Kobe, Jpn Duration: Dec 11 1996 → Dec 13 1996 |
Other
| Other | Proceedings of the 35th IEEE Conference on Decision and Control. Part 4 (of 4) |
|---|---|
| City | Kobe, Jpn |
| Period | 12/11/96 → 12/13/96 |