Multiple-agent hybrid control architecture

G - Physics – 05 – B

Patent

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Details

G05B 19/04 (2006.01) G05B 19/045 (2006.01) G06F 9/00 (2006.01) G06F 9/44 (2006.01)

Patent

CA 2235973

A Multiple-Agent Hybrid Control Architecture (MAHCA) uses agents to analyze, design, and implement intelligent control of distributed processes. A single agent can be configured to control a local process and a network of agents can be configured to control more complex distributed processes. Each agent includes a Knowledge Base Builder (22) which supports manual input from users, a Planner (24) which generates a statement representing the desired behavior of the system as an existentially quantified logic expression, an Inferencer (26) which determines whether this statement is a theorem currently active in the Knowledge Base (28) and if it does the Inferencer generates the current control action schedule, an Adapter (30) which replaces or modifies statements that do not follow from the current status of the Knowledge Base, and a Knowledge Decoder (32) which supports automatic input from other agents. Multiple agents interact through messages and can be either permanent or temporary.

Cette architecture hybride de commande à agents multiples recourt à des agents pour analyser, concevoir et mettre en oeuvre la commande intelligente de processus répartis. Un agent seul peut être configuré pour commander un processus local et un réseau d'agents peut être configuré pour commander des processus distribués plus complexes. Chaque agent comprend un constructeur (22) de base de connaissances acceptant des introductions manuelles de la part des utilisateurs, un planificateur (24) qui produit un énoncé représentant le comportement souhaité du système sous forme d'expression logique quantifiée existentiellement, un raisonneur (26) qui détermine si cet énoncé est un théorème actuellement actif dans la base de connaissances (28) et, si tel est le cas, qui produit un plan actuel d'actions de commande, un adaptateur (30) qui remplace ou modifie des énoncés ne découlant pas de l'état actuel de la base de connaissances, et un décodeur (32) de connaissances qui accepte des introductions automatiques de la part d'autres agents. Ces agents multiples interagissent par des messages et peuvent se révéler permanents ou temporaires.

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