Citation
Abstract
This article will consider the problem of automating monitor and control loops for Deep Space Network (DSN) subsystems. The purpose of the article is to give an overview of currently available automation techniques. In particular, the article will consider the use of standard numerical models, knowledge-based systems, and neural networks. Among the conclusions is argued that none of these techniques alone possess sufficient generality to deal with the demands imposed by the DSN environment. However, the article will show that schemes that integrate the better aspects of each approach and are referenced to a formal system model show considerable promise—although such an integrated technology is not yet available for implementation. The article should be of benefit to readers interested in any aspects of DSN automation as it highlights the advantages and dangers of currently available approaches to the automation problem. The article frequently refers to the receiver subsystem since this work was largely motivated by experience in developing an automated monitor and control loop for the advanced receiver.
Details
- Volume
- 42-98
- Published
- August 15, 1989
- Pages
- 110–120
- File Size
- 694.5 KB