AN OPTIMIZATION ALGORITHM FOR THE COORDINATED HYBRID AGENT FRAMEWORK

H. Li, F. Karray, and O. Basir

References

  1. [1] W. Brennan, M. Fletcher, & D.H. Norrie, An agent-basedapproach to reconfiguration of real-time distributed controlsystems, IEEE Transactions on Robotics and Automation,18(4), 2002, 444–449.
  2. [2] J. Baeza, D. Gabriel, J. Bejar, & J. Lafuente, A distributed con-trol system based on agent architecture for wastewater treat-ment, Computer-Aided Civil and Infrastructure Engineering,17(2), 2002, 93–103.
  3. [3] M.G. Earl & R. D’Andrea, Modeling and control of a multi-agent system using mixed integer linear programming, Proc.41st IEEE Conf. on Decision and Control, Las Vegas, NV,USA, 1, 2002, 107–111.
  4. [4] V. Crespi, G. Cybenko, D. Rus, & M. Santini, Decentralizedcontrol for coordinated flow of multi-agent systems, Proc.2002 International Joint Conf. on Neural Networks (IJCNN),Honolulu, HI, USA, 2002, 2604–2609.
  5. [5] L.E. Garza, F.J. Cantu, & S. Acevedo, Faults diagnosis inindustrial processes with a hybrid diagnostic system, Proc.MICAI 2002: Advances in Artificial Intelligence. Second Mex-ican International Conf. on Artificial Intelligence, Merida,Yucatan, Mexico, 2002, 536–545.
  6. [6] Y. Indrayadi, H.P. Valckenaers, & H. Van Brussel, Dynamicmulti-agent dispatching control for flexible manufacturing sys-tems, Proc. 13th International Workshop on Database andExpert Systems Applications, Aix-en-Provence, France, 2002,489–493.
  7. [7] G.A.S. Pereira, B.S. Pimentel, L. Chaimowicz, & M.F.M.Campos, Coordination of multiple mobile robots in an object36carrying task using implicit communication, Proc. 2002 IEEEInternational Conf. on Robotics & Automation, WashingtonDC, USA, 2002, 281–286.
  8. [8] F. Karray, I. Song, & H. Li, A framework for coordinatedcontrol of multi-agent systems, The Stability Analysis of theCoordinated Hybrid Agent Framework, Proc. IEEE Interna-tional Symp. on Intelligent Control, Taipei, Taiwan, 2005,429–434.
  9. [9] H. Li, F. Karray, O. Basir, & I. Song, Multi-Agent BasedControl of a Heterogeneous System, Journal of AdvancedComputational Intelligence and Intelligent Informatics, 10(2),2006, 161–167.
  10. [10] W. Zhang & J. Hu, Dynamic buffer management using optimalcontrol of hybrid systems, Automatica, 44, 2008, 1831–1840.
  11. [11] J. Oldenburg & W. Marquardt, Disjunctive modeling foroptimal control of hybrid systems, Computers and ChemicalEngineering, 32, 2008, 2346–2364.
  12. [12] I. Hwang, J. Li, & D. Du, A numerical algorithm for optimalcontrol of a class of hybrid systems: differential transformationbased approach, International Journal of Control, 81(2), 2008,277–293.
  13. [13] M.S. Shaikh & P.E. Caines, On the hybrid optimal controlproblem: Theory and algorithms, IEEE Transactions on Au-tomatic Control, 52(9), 2007, 1587–1603.
  14. [14] H. Li, F. Karray, O. Basir, & I. Song, An optimizationframework for the coordinated hybrid agent system, Proc. IEEE2005 International Conf. on Systems, Man, and Cybernetics,Hawaii, USA, 2, 2005, 1730–1735.
  15. [15] Y. Shoham & M. Tennenholtz, On social laws for artificialagent societies: Off-line design, Artificial Intelligence, 73(1–2),1995, 231–252.
  16. [16] Y.C. Cho, C.G. Cassandras, & D.L. Pepyne, Forward decom-position algorithms for optimal control of a class of hybrid sys-tems, International Journal of Robust and Nonlinear Control,11(5), 2001, 497–513.
  17. [17] C.G. Cassandras, D.L. Pepyne, & Y. Wardi, Optimal controlof a class of hybrid systems, IEEE Transactions on AutomaticControl, 46(3), 2001, 398–415.
  18. [18] H. Li, F. Karray, O. Basir, & I. Song, A framework forcoordinated control of Multi-agent systems and its applications,IEEE Transactions on Systems, Man, and Cybernetics – PartA: Systems and Humans, 38(3), 2008, 534–548.

Important Links:

Go Back