International Workshop "Advanced Technologies in Material Science, Mechanical and Automation Engineering – MIP: Engineering – 2019" | |
Investigation of resource allocation efficiency in optimization of fuzzy control system | |
材料科学;机械制造;原子能学 | |
Polyakova, A.S.^1 ; Lipinskiy, L.V.^1 ; Semenkin, E.S.^1 | |
Reshetnev Siberian State University of Science and Technology, Krasnoyarskiy Rabochiy av., 31, Krasnoyarsk | |
660037, Russia^1 | |
关键词: Allocation efficiencies; Automated configuration; Computational resources; Efficient allocations; Fuzzy logical; General optimizations; Main tasks; Output control; | |
Others : https://iopscience.iop.org/article/10.1088/1757-899X/537/5/052036/pdf DOI : 10.1088/1757-899X/537/5/052036 |
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学科分类:材料科学(综合) | |
来源: IOP | |
【 摘 要 】
The article investigates the efficiency of various computational resource allocation schemes for automated configuration of an output of a collective fuzzy control system. To configure such a system, two main tasks are required: optimization of the rule base (RB) and optimization of the terms. Each of the tasks requires its own computational resources and may occupy a different position in the general optimization scheme of a fuzzy logical system. The article compares alternative tuning schemes for a fuzzy collective-output control system and offers recommendations for the efficient allocation of computational resources.
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