Interface for Multi-Agent Platform Systems

Ponci, Ferdinanda; Deshmukh, A.; Monti, Antonello; Cristaldi, L.; Ottoboni, R.

doi:10.1109/imtc.2005.1604571

Cited by 10 publications

(6 citation statements)

References 1 publication

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“…We are not interested in the details of the waveform while at the main elements of the power flow. The consistency of the VTB model of the system with the physical system under analysis has been previously validated, as presented in [7].…”

Section: Resultsmentioning

confidence: 99%

“…A multi-agent system structure has been chosen to realize the integration between the data acquisition, the control and the simulation sections, [3], [4], [7]. In particular we can mention the following categories of agents: • data-acquisition agents: this category of agents is able to provide measurement data to the agent-system.…”

Section: The Multi-agent System Structurementioning

confidence: 99%

“…In [7] a measurement application that builds ActiveX technology on the top of socket programming to enable users to easily configure the agents of a distributed system is introduced. As a result, users in different network locations may request services to external applications to accomplish complex tasks such as diagnosis or transient simulation for the analysis of "what-if" scenarios.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Multi Agent Systems: an Example of Dynamic Reconfiguration

Deshmukh

Ponci

Monti

et al. 2006

2006 IEEE Instrumentation and Measurement Technology Conference Proceedings

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A multi-agent framework for monitoring and control of power electronics systems may comprise agents with different tasks: strictly measurement, control, computation, decision making, simulation and more. Each task is best performed within a dedicated environment: LabVIEW, Matlab, custom simulators and more. The focus of this work is a heterogeneous agent-based monitoring and control system; the aim of this work is to allow the use of interactive and proactive capabilities proper of agents within this complex environment. For this purpose interfaces between the agent environment and the measurement, control and simulation environment have been implemented. The application presented in this work is a limitedpower, power electronics system. The experimental results of this application demonstrate how a multi-agent architecture can be usefully employed to coordinate the roles and operations performed by the agents. In particular, the results show the capability of the multi-agent system to perform load reconfiguration to allow for a sudden increase in power demand.

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Section: Resultsmentioning

confidence: 99%

Section: The Multi-agent System Structurementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Multi Agent Systems: an Example of Dynamic Reconfiguration

Deshmukh

Ponci

Monti

et al. 2006

2006 IEEE Instrumentation and Measurement Technology Conference Proceedings

Self Cite

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“…There are some works which attempt to bring together multi-agent systems and these tools. For instance, Ponci et al (2005) and Conte et al (2009) propose a LabVIEW implementation of multi-agent systems in which agents are considered as virtual instruments. By this way authors lose the advantages of multi-agent simulators, such as the possibility of large scale simulation, or the use of multi-agent specific models.…”

Section: Mas Related Workmentioning

confidence: 99%

Meeting the challenges of decentralised embedded applications using multi-agent systems

Jamont

Occello

2015

IJAOSE

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Today, embedded applications become large scale and strongly constrained. They require a decentralised embedded intelligence generating challenges for embedded systems. A multi-agent approach is well suited to model and design decentralised embedded applications. It is naturally able to take up some of these challenges. But some specific points have to be introduced, enforced or improved in multi-agent approaches to reach all features and all requirements. In this article, we present a study of specific activities that can complement multi-agent paradigm in the 'embedded' context. We use our experience with the DIAMOND method to introduce and illustrate these features and activities.Keywords: multi-agent systems; MAS; collective intelligence; embedded multi-agent systems; agent oriented analysis; agent design; collective cyber-physical systems; real world applications.Reference to this paper should be made as follows: Jamont, J-P. and Occello, M. (2015) 'Meeting the challenges of decentralised embedded applications using multi-agent systems', Int.

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“…In [18], [19], authors use labview to implement their multiagent system. In their simulations an agent is implemented as a virtual instrument.…”

Section: B Physical Environment Models Are Not Realisticmentioning

confidence: 99%