A neural network multiagent architecture applied to industrial networks for dynamic allocation of control strategies using standard function blocks

IEEE Transactions on Industrial Electronics

Volumn 57, Issue 5, 2010, Pages 1823-1834

  MacHado, Vinicius ^a   Neto, Adrião Duarte Dória ^b   De Melo, Jorge Dantas ^b  

^a FEDERAL UNIVERSITY OF PIAUÍ   (Brazil)

^b FEDERAL UNIVERSITY OF RIO GRANDE DO NORTE   (Brazil)

Author keywords

Automation; Fieldbus foundation; LabVIEW; Multiagent systems (MASs)

Indexed keywords

AGENT PLATFORM; ARTIFICIAL NEURAL NETWORK; AUTOMATED PROCESS; CONTROL STRATEGIES; DATA TRAFFIC; DYNAMIC ALLOCATIONS; FAULT PATTERNS; FAULT SCENARIOS; FIELDBUS; FIELDBUS FOUNDATIONS; FIELDBUS NETWORKS; FOUNDATION FIELDBUS; FOUNDATION FOR INTELLIGENT PHYSICAL AGENTS; FUNCTION BLOCK; IN-FIELD; INDUSTRIAL NETWORKS; INTELLIGENT ALGORITHMS; LABORATORY TEST; LABVIEW; MULTIAGENT ARCHITECTURE; MULTIAGENT SYSTEMS (MASS); PROBLEM DETECTION; PROBLEM RESOLUTION; USER INTERVENTION;

DISTRIBUTED PARAMETER CONTROL SYSTEMS; FACTORY AUTOMATION; FLOATING BREAKWATERS; FOUNDATIONS; GATEWAYS (COMPUTER NETWORKS); INTELLIGENT AGENTS; LEARNING ALGORITHMS; MULTI AGENT SYSTEMS; TELECOMMUNICATION NETWORKS;

NEURAL NETWORKS;

EID: 77951171783     PISSN: 02780046     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIE.2009.2031196     Document Type: Article

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