Heuristic method for searches on large data-sets organised using network models

Ruiz-Fernández, Daniel; Quintana-Pacheco, Yuri

doi:10.1080/00207721.2014.951420

Cited by 3 publications

(1 citation statement)

References 22 publications

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“…The selection methods for PID controller parameters include the heuristic (Ruiz-Fernandez et al, 2016) and Monte Carlo (Wang et al, 2012) methods. The Monte Carlo method is utilized to provide the well-tuned parameters of the PID controller and to facilitate comparison in this study.…”

Section: Simulation Resultsmentioning

confidence: 99%

Modelling and control of urea-SCR systems through the triple-step non-linear method in consideration of time-varying parameters and reference dynamics

Zhao

Gong

et al. 2016

Transactions of the Institute of Measurement and Control

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Owing to the dynamic operation mode of urea selective catalytic reduction (urea-SCR) systems, advanced control strategies are required to improve urea dosing control. A new control-oriented model presentation of urea-SCR systems is developed in this study. A novel controller based on the triple-step non-linear method is designed. The controller drives the non-linear system with time-varying parameters to track the variable ammonia coverage ratio. Unlike the existing triple-step non-linear method, the third design procedure in the proposed method is adjusted as an [Formula: see text] error feedback control. The proposed method provides a concise design process so that derivation of the control law can be simple and straightforward. The robustness of the controller against measurement noises and system uncertainties is analysed. A transient simulation is conducted to evaluate the effectiveness of the proposed control strategy.

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Section: Simulation Resultsmentioning

confidence: 99%