作者: George F. Luger , Carl R. Stern , Eric T. Olsson , William B. Klein
DOI:
关键词: Beamline 、 Computer science 、 Computer architecture 、 Applications architecture 、 Enterprise architecture framework 、 Artificial intelligence 、 Reference architecture 、 Architecture 、 Pattern recognition (psychology) 、 Real-time Control System 、 Heuristic (computer science)
摘要: This paper discusses a new architecture for accelerator tuning that combines heuristic and knowledge based methods with traditional approaches to control. Control of particle accelerators requires hybrid architecture, which includes methodologies planning, intelligent search, pattern recognition. is distributed hierarchical utilize parallel problem-solving in the face time-sensitive control requirements decompose complex problems into more manageable subtasks. For perspective, we discuss past attempts at why these left many issues unresolved. We describe details our along its motivation. then report results deploying testing it two facilities. ends discussion commercial importance this work.