Title :
Intelligent control in the process industries: considerations for future research
Author_Institution :
Honeywell Technol. Center, Minneapolis, MN, USA
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
Keywords :
intelligent control; process control; autonomous systems; chaos theory; control technology; economic optimization; evolutionary computing; fuzzy logic; intelligent control; neural networks; post-analytic control; process industries; synergistic integration; system health management; Automatic control; Communication system control; Control systems; Economic forecasting; Electrical equipment industry; Industrial control; Intelligent control; Neural networks; Process control; Space technology;
Conference_Titel :
Decision and Control, 1996., Proceedings of the 35th IEEE Conference on
Conference_Location :
Kobe
Print_ISBN :
0-7803-3590-2
DOI :
10.1109/CDC.1996.577574
