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The performance of the control method is demonstrated by numerical simulation.
The performance of the control method is evaluated as a function of move distance, actuator effort, maximum transient deflection, and robustness to modeling errors.
The performance of the control method proposed and system stability when using this method are all demonstrated by numerical simulation results.
The performance of the control method is investigated through a case study of the ethylene dichloride (EDC) vaporizer system under the setpoint tracking with unmeasured disturbances and process uncertainties.
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The development of real-time control systems is a complex process which has to face often conflicting requirements, especially those related to the performance of the control methods and the real-time behaviour of the system.
The performance of this control method is evaluated and compared with other approaches such as Model Predictive Control (MPC).
An effect size  12 >0.5 means that the treatment method has higher probability of achieving a better performance than the control method, otherwise vice-versa.
In this paper, we verify the performance in compliance and stability of the control method, which is proposed in this paper, by comparing with proportional controller.
A numerical analysis shows that the performance of the active control method is related to the location of the line moment and an actuator.
Simulations of the proposed state-space MPC control system in PWR were designed for control performance analysis, and the simulation results manifest the effectiveness and the good performance of the proposed control method for core power control.
Simulation results are presented to show the performance of the proposed control method over a given case study.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com