4,772 research outputs found

    Automatic Control Synthesis for Agents and Their Cooperation in MAS

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    Automatic synthesis of control for a kind of DES (discrete-event systems) is discussed and an approach to it is proposed and presented. The approach consists in the proposal of the control synthesis procedure based on bipartite directed graphs yielding both the feasible control trajectories and the corresponding state ones. Soundness of the approach is tested on examples. Then, the usage of the approach is combined with the supervisor synthesis in order to complement it. Applicability of such approach is demonstrated by means of several illustrative examples of both the single agents and the agent cooperation in MAS

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

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    International audienceToday embedded applications become large scale andstrongly constrained. They require a decentralized embedded intelligencegenerating challenges for embedded systems. A multi-agent approach iswell suited to model and design decentralized embedded applications.It is naturally able to take up some of these challenges. But somespecific points have to be introduced, enforced or improved in multiagentapproaches to reach all features and all requirements. In thisarticle, we present a study of specific activities that can complementmulti-agent paradigm in the ”embedded” context.We use our experiencewith the DIAMOND method to introduce and illustrate these featuresand activities

    Supervising Impossibility of Performance as a Defense

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    Self-organising agent communities for autonomic resource management

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    The autonomic computing paradigm addresses the operational challenges presented by increasingly complex software systems by proposing that they be composed of many autonomous components, each responsible for the run-time reconfiguration of its own dedicated hardware and software components. Consequently, regulation of the whole software system becomes an emergent property of local adaptation and learning carried out by these autonomous system elements. Designing appropriate local adaptation policies for the components of such systems remains a major challenge. This is particularly true where the system’s scale and dynamism compromise the efficiency of a central executive and/or prevent components from pooling information to achieve a shared, accurate evidence base for their negotiations and decisions.In this paper, we investigate how a self-regulatory system response may arise spontaneously from local interactions between autonomic system elements tasked with adaptively consuming/providing computational resources or services when the demand for such resources is continually changing. We demonstrate that system performance is not maximised when all system components are able to freely share information with one another. Rather, maximum efficiency is achieved when individual components have only limited knowledge of their peers. Under these conditions, the system self-organises into appropriate community structures. By maintaining information flow at the level of communities, the system is able to remain stable enough to efficiently satisfy service demand in resource-limited environments, and thus minimise any unnecessary reconfiguration whilst remaining sufficiently adaptive to be able to reconfigure when service demand changes

    Simulation based design environment for multi-agent systems in buildings

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    With increasing experience and understanding of the behavior of users in buildings, it is very often difficult to properly build a control system that operates in the real world. To explore such a potential, this paper addresses a new approach to building automation systems that utilizes hybrids systems in order to model large scale systems typically arising in multi-agents. In fact hybrid systems are crucial for solving complex problems and for designing real-time controllers that can be used to automatically regulate HVAC (Heating, Ventilation and Air-Conditioning) systems and building components. A statechart formalism is also used for modelling of the entire building system behaviour in the structural analysis paradigm, in order to achieve a comfortable indoor climate while fulfilling operating constraints. Particularity, this paper concerns the relevance and reliability of integrating control and building performance simulation environments by run-time coupling, over TCP/IP protocol suite. In addition, this paper involves a case-study with two important steps; first consists of experiments obtained in TU Delft test-cell, and then simulation results are obtained with the use of run-time coupling approach
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