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- W4297486031 endingPage "549" @default.
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- W4297486031 abstract "This paper presents a design and evaluation of a fractional-order self optimizing control (FOSOC) architecture for process control. It is based on a real-time derivative-free optimization layer that adjusts the parameters of a discrete-time fractional-order proportional integral (FOPI) controller according to an economic cost function. A simulation benchmark is designed to assess the performance of the FOSOC controller based on a first order plus dead time system. Similarly, an acceleration mechanism is proposed for the fractional-order self optimizing control framework employing fractional-order Gaussian noise with long-range dependence given by the Hurst exponent. The obtained results show that the FOSOC controller can improve the system closed-loop response under different operating conditions and reduce the convergence time of the real-time derivative-free optimization algorithm by using fractional-order stochasticity." @default.
- W4297486031 created "2022-09-29" @default.
- W4297486031 creator A5010074487 @default.
- W4297486031 creator A5057089451 @default.
- W4297486031 date "2022-09-28" @default.
- W4297486031 modified "2023-09-26" @default.
- W4297486031 title "A Fractional-Order On-Line Self Optimizing Control Framework and a Benchmark Control System Accelerated Using Fractional-Order Stochasticity" @default.
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- W4297486031 doi "https://doi.org/10.3390/fractalfract6100549" @default.
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