Closed-loop monitoring for early detection of performance losses in feedback-control systems

Mosca, E.; Agnoloni, Tommaso

doi:10.1016/s0005-1098(03)00249-8

Cited by 12 publications

(7 citation statements)

References 21 publications

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“…In [43] Zhong demonstrates how to improve the effectiveness of equipment monitoring and process induced defect control through properly selecting, validating and using the hypothetical distribution models. In [44] Mosca and Agnoloni study the early detection problem of stability losses or close-toinstability conditions in feedback control systems, where the plant dynamics are uncertain and possibly time-varying.…”

Section: Discussionmentioning

confidence: 99%

Control loop performance assessment: a classification of methods

O’Connor¹,

O’Dwyer²

2004

Irish Signals and Systems Conference 2004

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Section: Discussionmentioning

confidence: 99%

Control loop performance assessment: a classification of methods

O’Connor¹,

O’Dwyer²

2004

Irish Signals and Systems Conference 2004

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“…Then, the gradients and Hessians of the two cost functions can be computed in a standard way by suitably filtering the collected data D. Further, it can be seen that the problem of ensuring the numerical stability of the computation of u.t / u ı Â .t / and y.t/ y ı Â .t / is analogous to the problem of ensuring the stability of the predictor in the OE method. In this respect, we note that, when the experiment is sufficiently informative, u u ı Â and y y ı Â (i.e., the data) is almost surely unbounded as N goes to infinity for any value of Â corresponding to an unstable C 1 .d; Â/ Q.d / (e.g., see lemma 1 in [28]). In contrast, u u ı Â and y y ı Â always remain bounded when C 1 .d; Â/ Q.d / is stable.…”

Section: Assumptionmentioning

confidence: 97%

Direct Control Design via Controller Unfalsification

Battistelli

Mari

Selvi

et al. 2017

Intl J Robust & Nonlinear

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Summary This paper proposes a non‐iterative direct approach for controller design from experimental data; the parameters of a controller of a prescribed order and structure are optimized with respect to a relevant performance criterion. The proposed design method enjoys the following features: (i) It does not involve the identification of the process to be controlled; (ii) it only requires a single experiment; (iii) in the case of stable plants, no initial controller is needed even when the process to be controlled is non‐minimum phase; and (iv) it provides sufficient conditions for the resulting closed‐loop system to be stable. The approach builds upon the so‐called unfalsified control theory; this key point makes it possible to derive simple and intuitive relations between the choice of the performance criterion to be optimized and closed‐loop stability conditions. The analysis is supported by numerical examples. Copyright © 2017 John Wiley & Sons, Ltd.

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“…Most of the research related to process controller signals typically assumes certain conditions. These include assumptions such as the set-point changes are infrequent, and process, actuators, and sensors are noisy [6].…”

Section: Monitoring Approachesmentioning

confidence: 99%

Distributed On-Line System for Process Plant Monitoring

Ahsan

Grosvenor

Prickett

2006

Proceedings of the Institution of Mechanical Engineers, Part E:

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This paper describes a methodology for monitoring industrial processes and plant that can be implemented cost-effectively within small-to-medium enterprises. The methodology is based on a network of 8-bit microcontrollers that communicate with each other on a controller area network bus. Ethernet connectivity is provided so that remote users can access the system on the internet. The software models developed for data acquisition nodes and the design of remote user interfaces and supervisory nodes are also explained. The system is aimed at providing specific maintenance guidance and fault identification, rather than gathering data for off-line analysis. Overly complicated processing is avoided to make real-time implementation possible, using 8-bit microcontrollers. The methodology emphasizes the use of process controller signals for fault detection and sensor signals for fault isolation. The suitability of the methodology is explored by acquiring signals from a laboratory-based process rig. Suitable monitoring techniques for the system in time and frequency domains are also discussed.

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Closed-loop monitoring for early detection of performance losses in feedback-control systems

Cited by 12 publications

References 21 publications

Control loop performance assessment: a classification of methods

Control loop performance assessment: a classification of methods

Direct Control Design via Controller Unfalsification

Distributed On-Line System for Process Plant Monitoring

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