Hui-Min Huang, Harry Scott, Elena Messina, Maris Juberts, Richard Quintero
Intelligent Systems Division
National Institute of Standards and Technology
Gaithersburg, MD 20899
{huang, scott, messina, juberts, quintero}@cme.nist.gov
The hierarchical real-time control system (RCS) reference model architecture that is under development at the National Institute of Standards and Technology (NIST) aims at designing and developing intelligent control for large and complex systems. RCS is based on several general and fundamental principles of complex systems. RCS is a reference model architecture, supporting systems or system components that are developed using Artificial Intelligence (AI) and expert systems techniques, neural nets, fuzzy logic, reactive behavior, or other innovative solutions. RCS provides a mechanism to support knowledge engineering process, an important aspect of expert systems. The RCS methodology, the process of applying RCS to control system development, is described. This process unifies several engineering principles including: multiple spatial and temporal resolutions, behavior-oriented, object-oriented, and functional decomposition. The methodology combines a knowledge-based system-design procedure and a template-based implementation approach. The authors describe three control systems, either completed or still under development, that progressively describe the advances on the implementation approach and demonstrate the richness of the RCS architecture.
Keywords: architecture, automation, behavioral-oriented, engineering
methodology, hierarchical systems, intelligent control, object-oriented, software
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*Book Chapter in Academic Press Volumes on "Expert Systems Techniques and Applications," C. T. Leondes, Ed., 2000.