ℋ<sub>2</sub> Controller Synthesis with an Alarm Performance Constraint

Roohi, Mohammad Hossein; Chen, Tongwen; Izadi, Iman

doi:10.1109/isie.2019.8781452

Cited by 4 publications

(6 citation statements)

References 13 publications

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“…However, we use a new alarm performance index based on these two metrics, which can be added either in the cost function or as a new constraint in the controller design problem. We introduced a preliminary version of this index in ref by exploiting the area under a receiver operating characteristic (ROC) curve, which is a popular measurement for the efficiency of classifiers. − In our application, the ROC curve is a plot of FAR versus MAR. The index proposed in ref could only be utilized to measure the alarm performance of signals.…”

Section: Introductionmentioning

confidence: 77%

“…So, there is still a need for a method that utilizes statistical metrics such as FAR and MAR. In ref , the effect of proportional–integral–derivative (PID) controllers on alarm systems was studied when the plant model was precisely known. References and addressed the trade-off between control and alarm systems.…”

Section: Introductionmentioning

confidence: 99%

“…In ref , the effect of proportional–integral–derivative (PID) controllers on alarm systems was studied when the plant model was precisely known. References and addressed the trade-off between control and alarm systems. Hence, due to unavoidable model uncertainties in industrial applications, the robust bound of alarm performance (in the sense of FAR and MAR) is still of interest to study.…”

Section: Introductionmentioning

confidence: 99%

“…We introduced a preliminary version of this index in ref by exploiting the area under a receiver operating characteristic (ROC) curve, which is a popular measurement for the efficiency of classifiers. − In our application, the ROC curve is a plot of FAR versus MAR. The index proposed in ref could only be utilized to measure the alarm performance of signals. In the current paper, we extend it to evaluate the effect of linear systems on the alarm performance of signals.…”

Section: Introductionmentioning

confidence: 99%

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Control and Alarm Interplay and Robust State-Feedback Synthesis with an Alarm Performance Constraint

Roohi

Chen

Izadi

2020

Ind. Eng. Chem. Res.

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In this paper, the effect of control systems, as a missing (but significant) actor, on the performance of alarm systems is studied. The interplay of control and alarm performance is justified, and it is shown that a state-feedback controller, which is designed to achieve a good quality of control (in terms of minimum output variance), has both desirable and undesirable consequences on the performance of alarm systems. To pave the path for finding a robust controller solution, a new alarm index is introduced and an analytical expression of the performance is derived for signals, known systems, and systems with parameter uncertainties. A set of linear matrix inequalities (LMIs) is proposed for the controller design to satisfy the required control and alarm performance. The effectiveness of the method is illustrated through a case study of a heat exchanger network, which is a frequently used plant in petrochemical industries.

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Section: Introductionmentioning

confidence: 77%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Control and Alarm Interplay and Robust State-Feedback Synthesis with an Alarm Performance Constraint

Roohi

Chen

Izadi

2020

Ind. Eng. Chem. Res.

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“…In addition to plant behavior, controller dynamics can also influence the overall performance of the alarm system. Considering this, some methods were proposed to design the controller and investigate the interplay of control and the alarm problem by incorporating the alarm performance requirements into the control problem. , However, they did not discuss the problem of alarm filter design. This motivated us to revisit the alarm filter design procedure, while taking into account the plant and controller dynamics.…”

Section: Introductionmentioning

confidence: 99%

A New Approach to Design Alarm Filters Using the Plant and Controller Knowledge

Roohi

Chen

Guan

et al. 2021

Ind. Eng. Chem. Res.

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Alarm systems are of paramount importance to the safety and proficiency of process industries. These systems aim to notify the plant operators of any possible equipment malfunction or undesired situation. An imperfect alarm system may announce false alarms in the normal operation mode or fail to raise alarms in case of some abnormalities. One mechanism for improving alarm systems is alarm filtering, which has already been addressed in the literature owing to its popularity in industries. The focus of previous research was mostly on process variables with statistically independent variables. This, however, is not aligned with many practical situations where the acquired variables are originated from closed-loop control systems. In this paper, we propose a new method for obtaining optimal filter coefficients by incorporating the knowledge of plant and control systems while relaxing the independence assumption. The design objective is to minimize the rates of missed and false alarms, which are commonly used measures for performance evaluation of alarm systems. The superiority of the proposed method over the conventional one is demonstrated via a simulation case study.

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