A knowledge-based control paradigm for real-time systems

©1988 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.The authors examine the application of knowledge-based symbolic control to the management of execution and configuration of a complex numerical control system. Symbolic processing is used to implement inference of system state and internal communication for inference and control. The flavor system provides an object-oriented programming environment in which the inference engine and knowledge base for the symbolic controller are realized. System communication is accomplished by asynchronous message passing using a mailbox facility. The particular target application considered is a software-intensive radio, which is envisioned as being digitally implemented. Symbolic processing is used to internally control the radio down to the module level. Testing is via computer emulation (Monte Carlo)