In recent decades,control performance monitoring(CPM)has experienced remarkable progress in research and industrial applications.While CPM research has been investigated using various benchmarks,the historical data be...In recent decades,control performance monitoring(CPM)has experienced remarkable progress in research and industrial applications.While CPM research has been investigated using various benchmarks,the historical data benchmark(HIS)has garnered the most attention due to its practicality and effectiveness.However,existing CPM reviews usually focus on the theoretical benchmark,and there is a lack of an in-depth review that thoroughly explores HIS-based methods.In this article,a comprehensive overview of HIS-based CPM is provided.First,we provide a novel static-dynamic perspective on data-level manifestations of control performance underlying typical controller capacities including regulation and servo:static and dynamic properties.The static property portrays time-independent variability in system output,and the dynamic property describes temporal behavior driven by closed-loop feedback.Accordingly,existing HIS-based CPM approaches and their intrinsic motivations are classified and analyzed from these two perspectives.Specifically,two mainstream solutions for CPM methods are summarized,including static analysis and dynamic analysis,which match data-driven techniques with actual controlling behavior.Furthermore,this paper also points out various opportunities and challenges faced in CPM for modern industry and provides promising directions in the context of artificial intelligence for inspiring future research.展开更多
Itanium is the first generation product processor based on IA-64 architecture. ORC(Open Research Compil-er )provides an open source IPF(Itanium Processor Family)research compiler infrastructure. We have compiled andru...Itanium is the first generation product processor based on IA-64 architecture. ORC(Open Research Compil-er )provides an open source IPF(Itanium Processor Family)research compiler infrastructure. We have compiled andrun NAS Benchmarks on the Itanium machine. This paper briefly describes the performance of orcc, sgicc and gcc inthe following 3 ways: execution time, compilation time, and executable file size. The results show that orcc has near-ly the same performance as sgicc, which is 2 fold faster over gcc in the aspect of execution time. We also find that evenwith the best-optimized program, the utilization ratio of process resources is no more that 70%.展开更多
基金supported in part by the National Natural Science Foundation of China(62125306)Zhejiang Key Research and Development Project(2024C01163)the State Key Laboratory of Industrial Control Technology,China(ICT2024A06)
文摘In recent decades,control performance monitoring(CPM)has experienced remarkable progress in research and industrial applications.While CPM research has been investigated using various benchmarks,the historical data benchmark(HIS)has garnered the most attention due to its practicality and effectiveness.However,existing CPM reviews usually focus on the theoretical benchmark,and there is a lack of an in-depth review that thoroughly explores HIS-based methods.In this article,a comprehensive overview of HIS-based CPM is provided.First,we provide a novel static-dynamic perspective on data-level manifestations of control performance underlying typical controller capacities including regulation and servo:static and dynamic properties.The static property portrays time-independent variability in system output,and the dynamic property describes temporal behavior driven by closed-loop feedback.Accordingly,existing HIS-based CPM approaches and their intrinsic motivations are classified and analyzed from these two perspectives.Specifically,two mainstream solutions for CPM methods are summarized,including static analysis and dynamic analysis,which match data-driven techniques with actual controlling behavior.Furthermore,this paper also points out various opportunities and challenges faced in CPM for modern industry and provides promising directions in the context of artificial intelligence for inspiring future research.
文摘Itanium is the first generation product processor based on IA-64 architecture. ORC(Open Research Compil-er )provides an open source IPF(Itanium Processor Family)research compiler infrastructure. We have compiled andrun NAS Benchmarks on the Itanium machine. This paper briefly describes the performance of orcc, sgicc and gcc inthe following 3 ways: execution time, compilation time, and executable file size. The results show that orcc has near-ly the same performance as sgicc, which is 2 fold faster over gcc in the aspect of execution time. We also find that evenwith the best-optimized program, the utilization ratio of process resources is no more that 70%.
