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Journal articles on the topic 'Supervisory and control'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

Daley, Dennis M. "Putting the Super in Supervisor: Determinants of Federal Employee Evaluation of Supervisors." Public Personnel Management 26, no. 3 (1997): 301–11. http://dx.doi.org/10.1177/009102609702600301.

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A regression analysis of the cross-sectional 1989 Merit Principles Survey ( MPS) of Federal employees (U.S. MSPB 1990) examines employee assessment of their supervisor. Job and work characteristic attitudes (along with demographic controls) are analyzed. Analysis eliminated were extraneous control factors related to age, years of service, education, paygrade, supervisory status and gender. Among the job-specific and organizational work characteristics, employees clearly distinguished those items over which supervisors exercised some degree of control from those that were deemed beyond their gr

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2

Shattuck, Lawrence G., and David D. Woods. "Communication of Intent in Distributed Supervisory Control Systems." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 41, no. 1 (1997): 259–63. http://dx.doi.org/10.1177/107118139704100159.

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Distributed supervisory control systems are characterized by remote supervisors who work through multiple local actors to control a dynamic process. Coordination normally occurs through the use of predetermined plans and procedures. However, these plans and procedures can be underspecified and brittle when an actor is confronted with an unanticipated situation. In these instances, the local actor must adapt the plan in a manner consistent with the intent of the remote supervisor. This research investigated the communication of intent in military C2 systems by using a mixed-fidelity simulation.

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3

Yang, Junjun, Kaige Tan, and Lei Feng. "Nonblocking Modular Supervisory Control of Discrete Event Systems via Reinforcement Learning and K-Means Clustering." Machines 13, no. 7 (2025): 559. https://doi.org/10.3390/machines13070559.

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Traditional supervisory control methods for the nonblocking control of discrete event systems often suffer from exponential computational complexity. Reinforcement learning-based approaches mitigate state explosion by sampling many random sequences instead of computing the synchronous product of multiple modular supervisors, but they struggle with limited reachable state spaces. A primary novelty of this study is to use the K-means clustering method for online inference with the learned state-action values. The clustering method divides all events at a state into the good group and the bad gro

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4

Koumboulis, Fotis N., Dimitrios G. Fragkoulis, Ioannis Kalkanas, and George F. Fragulis. "Supervisor Design for a Pressurized Reactor Unit in the Presence of Sensor and Actuator Faults." Electronics 11, no. 16 (2022): 2534. http://dx.doi.org/10.3390/electronics11162534.

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The preservation of the efficient functionality of a pressurized reactor unit in the presence of faults is the aim of the present paper. To satisfy this aim, a distributed supervisory control scheme, considering the possibility of system faults, was designed. Towards this aim, the models of the subsystems of the total pressurized reactor unit in the presence of sensor and actuator faults are developed, using finite deterministic automata. This is the first contribution of the paper. The desired performance of the unit was formulated in the form of rules guaranteeing the desired behavior of a p

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5

Xie, Yifan, Xiang Yin, and Shaoyuan Li. "Opacity Enforcing Supervisory Control using Non-deterministic Supervisors." IFAC-PapersOnLine 53, no. 2 (2020): 1763–69. http://dx.doi.org/10.1016/j.ifacol.2020.12.2315.

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6

Yoo, T. S., and S. Lafortune. "Decentralized Supervisory Control With Conditional Decisions: Supervisor Existence." IEEE Transactions on Automatic Control 49, no. 11 (2004): 1886–904. http://dx.doi.org/10.1109/tac.2004.837595.

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7

Tae-Sic Yoo and S. Lafortune. "Decentralized supervisory control with conditional decisions: supervisor realization." IEEE Transactions on Automatic Control 50, no. 8 (2005): 1205–11. http://dx.doi.org/10.1109/tac.2005.852556.

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8

Delbridge, Rick, and James Lowe. "Manufacturing Control: Supervisory Systems on the `New' Shopfloor." Sociology 31, no. 3 (1997): 409–26. http://dx.doi.org/10.1177/0038038597031003003.

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Primary ethnographic research is drawn on in this paper so as to examine the nature of supervisory systems in two manufacturing organisations which have both, to varying degrees, implemented `new' manufacturing techniques such as just-in-time and total quality management and have organised around `teams'. Debates in industrial sociology and the labour process have understandably concentrated on the implications of such developments for workers; the important and problematic role of supervisors in realising managerial objectives has been largely neglected. This paper analyses the nature of supe

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9

Reijnen, Ferdie F. H., Toby R. Erens, Joanna M. van de Mortel-Fronczak, and Jacobus E. Rooda. "Supervisory controller synthesis and implementation for safety PLCs." Discrete Event Dynamic Systems 32, no. 1 (2021): 115–41. http://dx.doi.org/10.1007/s10626-021-00350-4.

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AbstractThe development of supervisory controllers for cyber-physical systems is a laborious and error-prone process. Supervisor synthesis enables control designers to automatically synthesize a correct-by-construction supervisor from a model of the plant combined with a model of the control requirements. From the supervisor model, controller code can be generated which is suitable for the implementation on a programmable logic controller (PLC). Supervisors for industrial systems that operate in close proximity to humans have to adhere to strict safety standards. To achieve these standards, sa

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10

Ha, T. Y., Z. Binder, P. Horácek, and R. Perret. "Fuzzy Supervisory Control." IFAC Proceedings Volumes 31, no. 25 (1998): 121–24. http://dx.doi.org/10.1016/s1474-6670(17)36371-1.

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11

Dulhofer, Markus. "SUPERVISORY RESPONSIBILITY AND PRESENTEEISM DURING THE COVID-19 PANDEMIC ACROSS THE COUNTRIES OF THE EU27: A PARALLEL MEDIATION ANALYSIS MODEL APPROACH." Mostariensia 28, no. 2 (2025): 33–49. https://doi.org/10.47960/2831-0322.2024.2.28.33.

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The objective of this study is to examine the impact of supervisory responsibility on the prevalence of presenteeism in EU27 nations. Time pressure and job control were incorporated as mediators in the model. A parallel mediation analysis was performed. The European Working Condition Telephone Survey (2021) data were utilized for this purpose. The findings of this study indicate that supervisory responsibility elevates the probability of presenteeism. Although job control diminishes the probability of presenteeism, time constraint emerged as a markedly more potent catalyst for presenteeism. De

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12

Petersen, Johannes. "Control situations in supervisory control." Cognition, Technology & Work 6, no. 4 (2004): 266–74. http://dx.doi.org/10.1007/s10111-004-0164-0.

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13

Leite, Pedro A. C. F., Fabio L. Baldissera, and José E. R. Cury. "State-based supervisory control with restrictions on the supervisor realization." Discrete Event Dynamic Systems 30, no. 4 (2020): 671–93. http://dx.doi.org/10.1007/s10626-020-00319-9.

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14

Ropero, Miguel Angel. "Women’s access to supervisory jobs and gender inequality." International Journal of Manpower 39, no. 5 (2018): 687–709. http://dx.doi.org/10.1108/ijm-10-2016-0196.

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Purpose The purpose of this paper is to analyze the effects on the gender wage gap of women’s access to supervisory jobs within each establishment in the Spanish labor market. Previous empirical studies have found that promoting women to supervisory positions has decreased the wage difference between genders among workers beneath them. However, these studies did not take into account the endogeneity problem associated with job choice. Design/methodology/approach The author uses a switching model to control for this endogeneity problem under certain assumptions. Findings Using matched employer–

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15

Narayanan, S., Heath A. Ruff, Narasimha Rao Edala, et al. "Human-Integrated Supervisory Control of Uninhabited Combat Aerial Vehicles." Journal of Robotics and Mechatronics 12, no. 6 (2000): 628–39. http://dx.doi.org/10.20965/jrm.2000.p0628.

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Uninhabited aerial vehicles are aircraft without the onboard presence of pilot or aircrew. Even though the human is removed from the direct control of the aircraft, the human is typically involved in the process as a supervisor in a multiple task telerobotics control system. The supervisor must receive the appropriate information for efficient decision making and input the information required to augment the autonomous control of the vehicle as necessary. This article presents an approach that applies human operator modeling methods to perform semiotic analysis and identifies the content and f

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16

Leduc, Ryan J., and Yu Wang. "Sampled-Data Supervisory Control." IFAC Proceedings Volumes 43, no. 12 (2010): 343–49. http://dx.doi.org/10.3182/20100830-3-de-4013.00057.

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17

Dubreil, Jeremy, Philippe Darondeau, and Herve Marchand. "Supervisory Control for Opacity." IEEE Transactions on Automatic Control 55, no. 5 (2010): 1089–100. http://dx.doi.org/10.1109/tac.2010.2042008.

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18

Furness, R. J., A. Galip Ulsoy, and C. L. Wu. "Supervisory Control of Drilling." Journal of Engineering for Industry 118, no. 1 (1996): 10–19. http://dx.doi.org/10.1115/1.2803630.

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A supervisory process control approach to machining is presented in this paper, and demonstrated by application to a drilling operation. The supervisory process control concept incorporates optimization and control functions in a hierarchical structure. This approach utilizes feedback measurements to parameterize the constraints of a process optimization problem whose solution determines both strategies and references for process control. For this particular drilling operation, a three-phase strategy (utilizing a combination of feed, speed, and torque control) evolved due to inherent variation

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19

Eva Wu, N., and Ron J. Patton. "Reliability and supervisory control." IFAC Proceedings Volumes 36, no. 5 (2003): 137–42. http://dx.doi.org/10.1016/s1474-6670(17)36483-2.

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20

Rodriguez, J. A., J. A. Romagnoli, and G. C. Goodwin. "Supervisory Multiple Model Control." IFAC Proceedings Volumes 31, no. 11 (1998): 435–41. http://dx.doi.org/10.1016/s1474-6670(17)44965-2.

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21

Rodriguez, J. A., J. A. Romagnoli, and G. C. Goodwin. "Supervisory multiple regime control." Journal of Process Control 13, no. 2 (2003): 177–91. http://dx.doi.org/10.1016/s0959-1524(02)00004-5.

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22

Leduc, Ryan J., Yu Wang, and Fahim Ahmed. "Sampled-data supervisory control." Discrete Event Dynamic Systems 24, no. 4 (2013): 541–79. http://dx.doi.org/10.1007/s10626-013-0172-4.

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23

Moor, Thomas. "Fault-Tolerant Supervisory Control." IFAC-PapersOnLine 48, no. 7 (2015): 124–31. http://dx.doi.org/10.1016/j.ifacol.2015.06.483.

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24

Jayasiri, Awantha, George K. I. Mann, and Raymond G. Gosine. "Modular Supervisory Control and Hierarchical Supervisory Control of Fuzzy Discrete-Event Systems." IEEE Transactions on Automation Science and Engineering 9, no. 2 (2012): 353–64. http://dx.doi.org/10.1109/tase.2011.2181364.

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25

Tousi, Mani M., Idin Karuei, Shahin Hashtrudi-Zad, and Amir G. Aghdam. "Supervisory control of switching control systems." Systems & Control Letters 57, no. 2 (2008): 132–41. http://dx.doi.org/10.1016/j.sysconle.2007.08.002.

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26

Logan, Mary S., and Daniel C. Ganster. "An Experimental Evaluation of a Control Intervention to Alleviate Job-Related Stress." Journal of Management 31, no. 1 (2005): 90–107. http://dx.doi.org/10.1177/0149206304271383.

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This article reports the results of a randomized field experiment that tested the effects of a control-enhancing stress intervention among unit managers of a trucking company. Individuals who managed geographically dispersed profit centers were randomly assigned to either an intervention group (N = 34) or a no-intervention group (N = 30). The intervention increased perceptions of control after 4 months, but only for those managers with supportive supervisors. In conjunction with supervisory support, the intervention produced improvements in job satisfaction, but not general well-being outcomes

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27

Sreenivas, R. S. "On the existence of finite state supervisors for arbitrary supervisory control problems." IEEE Transactions on Automatic Control 39, no. 4 (1994): 856–61. http://dx.doi.org/10.1109/9.286270.

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28

Yoon, Tae-Woong, and Jung-Su Kim. "NEW SUPERVISORY CONTROL USING CONTROL-RELEVANT SWITCHING." IFAC Proceedings Volumes 38, no. 1 (2005): 91–96. http://dx.doi.org/10.3182/20050703-6-cz-1902.00236.

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29

Lienhard, Andreas. "Supervisory Control and Court Management." International Journal for Court Administration 2, no. 1 (2009): 30. http://dx.doi.org/10.18352/ijca.110.

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30

Bagri, Aditya, Richa Netto, and Dhruvil Jhaveri. "Supervisory Control and Data Acquisition." International Journal of Computer Applications 102, no. 10 (2014): 1–5. http://dx.doi.org/10.5120/17848-8797.

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31

MAKI, Takeshi, and Hideki KURIMURA. "Gas pipeline supervisory control system." Journal of the Japanese Association for Petroleum Technology 52, no. 6 (1987): 543–48. http://dx.doi.org/10.3720/japt.52.543.

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32

Koutsoukos, X. D., P. J. Antsaklis, J. A. Stiver, and M. D. Lemmon. "Supervisory control of hybrid systems." Proceedings of the IEEE 88, no. 7 (2000): 1026–49. http://dx.doi.org/10.1109/5.871307.

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33

Seow, Kiam Tian. "Supervisory Control of Blockchain Networks." IEEE Transactions on Systems, Man, and Cybernetics: Systems 50, no. 1 (2020): 159–71. http://dx.doi.org/10.1109/tsmc.2019.2895345.

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34

Fortado, Bruce. "Informal Supervisory Social Control Strategies." Journal of Management Studies 31, no. 2 (1994): 251–74. http://dx.doi.org/10.1111/j.1467-6486.1994.tb00774.x.

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35

Gaushell, D. J., and H. T. Darlington. "Supervisory control and data acquisition." Proceedings of the IEEE 75, no. 12 (1987): 1645–58. http://dx.doi.org/10.1109/proc.1987.13932.

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36

Mainhardt, Ana Maria, Andrew Wintenberg, Stéphane Lafortune, and Anne-Kathrin Schmuck. "Formulating Attacks with Supervisory Control." IFAC-PapersOnLine 58, no. 1 (2024): 1–6. http://dx.doi.org/10.1016/j.ifacol.2024.07.001.

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37

Phoha, V. V., A. U. Nadgar, A. Ray, and S. Phoha. "Supervisory control of software systems." IEEE Transactions on Computers 53, no. 9 (2004): 1187–99. http://dx.doi.org/10.1109/tc.2004.67.

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38

Park, S. J. "Supervisory control for dynamic monopoly." IET Control Theory & Applications 6, no. 7 (2012): 992. http://dx.doi.org/10.1049/iet-cta.2011.0507.

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39

Felli, Paolo, Nitin Yadav, and Sebastian Sardina. "Supervisory Control for Behavior Composition." IEEE Transactions on Automatic Control 62, no. 2 (2017): 986–91. http://dx.doi.org/10.1109/tac.2016.2570748.

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40

Fraikin, Benoît, Marc Frappier, and Richard St-Denis. "Supervisory control theory with Alloy." Science of Computer Programming 94 (November 2014): 217–37. http://dx.doi.org/10.1016/j.scico.2014.04.016.

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41

Chen, Jessie Y. C., and Michael J. Barnes. "Supervisory Control of Multiple Robots." Human Factors: The Journal of the Human Factors and Ergonomics Society 54, no. 2 (2012): 157–74. http://dx.doi.org/10.1177/0018720811435843.

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42

Savignac, Christophe, and Benoît Bergeon. "Knowledge Specification for Supervisory Control." IFAC Proceedings Volumes 30, no. 25 (1997): 285–90. http://dx.doi.org/10.1016/s1474-6670(17)41338-3.

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43

Phoha, V. V., Xin Xu, A. Ray, and S. Phoha. "Supervisory Control of Malicious Executables †." IFAC Proceedings Volumes 36, no. 5 (2003): 1065–70. http://dx.doi.org/10.1016/s1474-6670(17)36634-x.

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44

Rasmussen, J., and L. P. Goodstein. "Decision Support in Supervisory Control." IFAC Proceedings Volumes 18, no. 10 (1985): 79–90. http://dx.doi.org/10.1016/s1474-6670(17)60202-7.

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45

Flordal, Hugo, and Robi Malik. "Compositional Verification in Supervisory Control." SIAM Journal on Control and Optimization 48, no. 3 (2009): 1914–38. http://dx.doi.org/10.1137/070695526.

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46

Zhang, J., M. T. Tham, A. J. Morris, and P. D. Roberts. "Knowledge Based Process Supervisory Control." IFAC Proceedings Volumes 25, no. 18 (1992): 269–74. http://dx.doi.org/10.1016/s1474-6670(17)49982-4.

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47

Moray, N., and J. Lee. "Human Intervention in Supervisory Control." IFAC Proceedings Volumes 25, no. 9 (1992): 43–46. http://dx.doi.org/10.1016/s1474-6670(17)50168-8.

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48

Verbakel, Jeroen J., Marc E. W. Vos de Wael, Joanna M. van de Mortel-Fronczak, Wan J. Fokkink, and Jacobus E. Rooda. "Supervisory control of roadside units." IFAC-PapersOnLine 55, no. 28 (2022): 79–86. http://dx.doi.org/10.1016/j.ifacol.2022.10.327.

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49

Morse, A. S. "Cyclic Switching and Supervisory Control." IFAC Proceedings Volumes 28, no. 14 (1995): 451–56. http://dx.doi.org/10.1016/s1474-6670(17)46871-6.

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50

Leduc, Ryan J., Aos Mulahuwaish, and Amal Alsuwaidan. "Timed fault-tolerant supervisory control." International Robotics & Automation Journal 10, no. 2 (2024): 48–61. http://dx.doi.org/10.15406/iratj.2024.10.00283.

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In Mulahuwaish,1–4 we investigated the problem of fault tolerance in the framework of untimed discrete-event systems (DES). This approach is different from the typical fault-tolerant methodology as the approach does not rely on detecting faults and switching to a new supervisor; it requires a supervisor to work correctly under normal and fault conditions. This is a passive approach that relies upon inherent redundancy in the system being controlled. In this paper we extend the work of Mulahuwaish1–4 to the timed DES (TDES) setting. We introduce our setting, and then provide a set of timed faul

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