Multi-agent replicator controller for sustainable vibration control of smart structures mariantonieta

  • Gutierrez Soto
  • , Hojjat Adeli

Research output: Contribution to journalArticlepeer-review

61 Scopus citations

Abstract

Developed in the artificial intelligence community, an intelligent agent is an autonomous abstract or software entity that observes through sensors and acts upon an environment in an adaptive or intelligent manner. In a centralized control system, one central controller uses the global measurement data collected from all the sensors installed in the structure to make control decisions and to dispatch them to control devices. The centralized controller itself represents a single point of potential failure. To overcome this shortcoming, decentralized control is used to improve redundancy. This paper introduces three ideas to vibration control of smart structures: agent technology, replicator dynamics from evolutionary game theory, and energy minimization. It presents two new methods: 1) a single-agent Centralized Replicator Controller (CRC) and a decentralized Multi-Agent Replicator Controller (MARC) for vibration control of smart structures. The use of agents and a decentralized approach enhances the robustness of the entire vibration control system. The proposed control methodologies are applied to vibration control of a 3-story steel frame and a 20-story steel benchmark structure subjected to two sets of seismic loadings: historic earthquake accelerograms and artificial earthquakes and compared with the corresponding centralized and decentralized conventional Linear Quadratic Regulator (LQR) control algorithm.

Original languageEnglish
Pages (from-to)4300-4322
Number of pages23
JournalJournal of Vibroengineering
Volume19
Issue number6
DOIs
StatePublished - Sep 1 2017

Bibliographical note

Publisher Copyright:
© JVE INTERNATIONAL LTD.

Funding

Mariantonieta Gutierrez Soto received Ph.D. degree in Civil Engineering from the Ohio State University, Columbus, OH, U.S.A. in 2017 under mentorship and guidance of renowned Prof. Hojjat Adeli. She was recipient of the Ohio State University Presidential Fellowship in 2016 and received the Distinguished Graduate Student awards in 2011 and 2017. She is currently Assistant Professor at the Department of Civil Engineering, University of Kentucky, Lexington, KY, U.S.A. Her current research interests include vibration control, damage detection and sustainable engineering for multi-hazard resilience of infrastructure. Hojjat Adeli is Professor of Civil, Environmental, and Geodetic Engineering at The Ohio State University. He has authored over 570 scientific publications including 16 books since he received his Ph.D. from Stanford University in 1976. He has presented Keynote/Plenary Lectures at 104 research conferences held in 43 different countries. Among his numerous awards include a Special Medal in Recognition of Outstanding Contribution to the Development of Computational Intelligence from The Polish Neural Network Society, Eduardo Renato Caianiello Award for Excellence in Scientific Research from Italian Society of Neural Networks, an Honorary Doctorate from Vilnius Gediminas Technical University, Lithuania, and membership in the Spanish Royal Academy of Engineering. In 2010, he was profiled as Engineering Legend in ASCE journal of Leadership and Management in Engineering. He is a Distinguished Member of ASCE, a Fellow of AAAS, IEEE, AIMBE, and the American Neurological Association Society.

Funders
Italian Society of Neural Networks
Polish Neural Network Society
Vilnius Gediminas Technical University
Ohio Water Resources Center, Ohio State University
Royal Academy of Engineering

    Keywords

    • Advanced damping systems
    • Artificial intelligence
    • Decentralized control
    • Earthquake engineering
    • Game theory
    • Multi agent systems
    • Replicator dynamics
    • Smart structures
    • Vibration control

    ASJC Scopus subject areas

    • General Materials Science
    • Mechanical Engineering

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