Self-organizing control systems (SOCS) have control over and have responsibility for other (often physically embodied) systems and employ self-organizing properties to achieve that task. SOCSs can be defined as a group of interacting components that is functioning as a whole in absence of an external supervisor. Various parts are laid out as to promote a specific function. The global behavior of the system emerges from local interactions of these entities. Being open and dynamically structured, SOCSs do not need to be explicitly configured to accomodate for system changes. The self-organizing systems theory has been applied to for various types of naval support systems using the cellular automaton paradigm. A cellular automaton is a system made up of many discrete cells, each of which may be in one of a finite number of states. A cell (or automaton) may change only at fixed regular intervals and only in accordance with fixed rules that depend on cells own properties and those of the neighbours within a certain proximity. Two case studies - generalized model of a chilled water system (CWS) and an adaptive ship evacuation routing system - are presented here. The CWS control is relocated to an autonomously functioning architectural layer that is directly interfaced to the physical platform system. This so-called reactive layer, which is functionally and geographically distributed, is in charge of actually configuring the platform system (i.e. operating valves, pumps etc.) and sensing its status. It is responsible for carrying out an immediate corrective reaction in response to failures or damage of the platform system, i.e. closing of the leaking part of the circuit and reconfiguring the rest of the system using a distributed gradient descent method to guarantee the cooling of other users. This is achieved by operating valves, pumps etc., and by sending messages to neighbouring agents according to a set of rules which is implemented into each agent in the reactive layer. A similar approach is applied to evacuation routing. The aim is to provide optimal evacuation routes for passengers and to provide efficient attack routes for damage control teams. A gradient-based approach is used in which information propagates throughout the network of sensors (e.g. smoke sensors) and actuators (e.g. direction signs or sound devices). On top of this approach an optimization algorithm simulating 'virtual ants'is applied to deal with capacity restrictions of corridors and to initiate the exploration of alternative routes from any give location to an exit.


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    Title :

    Naval applications of self-organizing systems


    Additional title:

    Anwendung selbstorganisierender Systeme auf Schiffen


    Contributors:

    Published in:

    Publication date :

    2004


    Size :

    8 Seiten, 1 Bild, 21 Quellen



    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English




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