Managed Complexity in An Agent-based Vent Fan Control System Based on Dynamic Re-configuration

Discenzo, Fred M.; Maturana, Francisco; Chung, Dukki

doi:10.1007/978-3-540-73849-7_38

Cited by 3 publications

(3 citation statements)

References 5 publications

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“…However, in current research [5], [14], [16], proactive capabilities have also been part of agents to learn and predict behaviors from the physical device. Because of the real-time nature of the physical devices, responsiveness is also defined in terms of the ability to manage real-time tasks that are periodic or continuous in nature.…”

Section: Background Work In the Area Of Agent Control Devicesmentioning

confidence: 99%

Envisioning an Agent-OS for Autonomous Cooperative Systems

Maturana

Tichý²,

Vrba³

2006

2006 IEEE International Conference on Systems, Man and Cybernetics

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The Autonomous Cooperative System environment was built as a low priority control task inside programmable logical controllers. It added the functionality of an agent-based operating system. The ACS kernel evolved in this manner for a long time almost independent of the controller operating system. Although ACS has been successfully deployed on commercial controllers, new releases of Logix will cause complications in the integration of the software and adoption of future functionality. There is necessity to evolve ACS to be seamless integrated with the controllers. This new challenge implies changes to the Logix OS for the creation of the agents. There are critical implications that would radically affect the agent infrastructure. In this document, we discuss the results of the transformation.

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Section: Background Work In the Area Of Agent Control Devicesmentioning

confidence: 99%

Envisioning an Agent-OS for Autonomous Cooperative Systems

Maturana

Tichý²,

Vrba³

2006

2006 IEEE International Conference on Systems, Man and Cybernetics

Self Cite

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“…Employing these robots was found to increase both the line efficiency and production rate, regardless of the type of failure and repair processes associated with the robots. Other investigations on the effect of reconfiguration in unreliable systems can be found in Discenzo et al (2002), Nourelfath et al (2002), Discenzo et al (2004) and Wu et al (2006). All their solutions only consider the application of reconfiguration to failure or degradation process and do not make decisions on PM actions.…”

Section: Introductionmentioning

confidence: 99%

Integrated reconfiguration and age-based preventive maintenance decision making

et al. 2007

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The use of manufacturing system reconfiguration in conjunction with maintenance operations has not been previously reported in the literature. This research attempts to incorporate reconfiguration into Preventive Maintenance (PM) actions for improved system performance in terms of reduced total cost. This paper presents an Integrated Reconfiguration and Age-Based Maintenance (IRABM) policy and applies it to a parallel-serial manufacturing system. The expected total cost of implementing the IRABM policy is estimated and minimized through a simulation-based heuristic optimization procedure. Using this method, it is possible to systematically identify the conditions under which the integration of reconfiguration into maintenance is cost effective. In addition, numerical examples demonstrate that the manufacturing system could have a higher probability of fulfilling production requirements at a lower cost under the IRABM policy compared to the conventional age-based PM policy. The influences of the input parameters associated with reconfiguration, production, and reliability on the performance of IRABM policy also are studied.

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“…In current research (Discenzo, 2002), , (Shen, 2001), proactive capabilities have also been part of agents to learn and predict behaviors of the physical device. Real-time distributed control conditions affecting the agents is a new area which has only recently been investigated (Balasubramanian, 2000).…”

Section: Background Work In the Area Of Agent Control Devicesmentioning

confidence: 99%