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- W3217284966 abstract "Industry 4.0 requires introducing smart capabilities into the classic process control that makes the system aware of its current health status, modifying its closed-loop controller parameters or references to ensure the optimal performance of a system under acceptable conditions. This paper presents a Self Optimizing Control (SOC) framework using a Real-Time Globalized Constrain Nelder Mead optimization algorithm supported by the system closed-loop performance specification to control a thermal system. A simulation benchmark is designed to assess the SOC controller performance using a normalized First Order Plus Dead Time model of the thermal system. Obtained results show that the SOC controller can reach the desired closed-loop performance after multiple periodic reference executions of the system." @default.
- W3217284966 created "2021-12-06" @default.
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- W3217284966 creator A5057089451 @default.
- W3217284966 date "2021-11-08" @default.
- W3217284966 modified "2023-09-28" @default.
- W3217284966 title "A Self Optimizing Control Framework and A Benchmark for Smart Process Control" @default.
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- W3217284966 doi "https://doi.org/10.1109/iai53119.2021.9619356" @default.
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