Symbolic diagnosis for intelligent control

©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 results of research intended to create a symbolic diagnostician to support intelligent control of numerical processors and/or processes are reported. Example applications include real-time signal processors, industrial automation, and aerospace power systems. The approach is to create a generic, symbolic inference engine to interpret data from real-time numerical processes. The interpreted data are then utilized by companion symbolic and numeric modules resulting in a dynamic, intelligent real-time control architecture. General results are obtained while focusing research efforts on an initial target application-a software-intensive radio receiver/processor. Object-oriented programming techniques are used due to ease of knowledge engineering and potential parallels to hardware implementation