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Intelligent System Control: A Unified Approach and Applications

Published

Author(s)

Hui-Min Huang, Harry A. Scott, Elena R. Messina, Maris Juberts, Richard Quintero

Abstract

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, objectoriented, 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.
Citation
Gordon and Breach International Series in Engineering, Technology and Applied Science
Volume
Expert Systems Techniques and Cpplications
Publisher Info
,

Keywords

Robotics & Intelligent Systems, Control, Mobility, architecture, automation, behavioral-oriented, engineering methodology, hierarchical

Citation

Huang, H. , Scott, H. , Messina, E. , Juberts, M. and Quintero, R. (1998), Intelligent System Control: A Unified Approach and Applications, , , [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=820617 (Accessed December 5, 2024)

Issues

If you have any questions about this publication or are having problems accessing it, please contact reflib@nist.gov.

Created January 1, 1998, Updated February 17, 2017