Designing Communication Networks to Decompose Network Control Problems

Published Online:https://doi.org/10.1287/ijoc.1030.0056

References

  • Amin M. Context-dependent network agents: EPRI/DoD complex interactive networks/systems initiative. (2001) . Technical report TP-1006094, Electric Power Research Institute, Palo Alto, CAGoogle Scholar
  • Boggs P. T., Tolle J. W. Sequential quadratic programming. Acta Numerica (1996) 4:1–51CrossrefGoogle Scholar
  • Camponogara E.Controlling Networks with Collaborative Nets (2000) . Ph.D. dissertation, Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PAGoogle Scholar
  • Camponogara E., Talukdar S. N. Distributed, asynchronous, model predictive control. (2001a) . Technical report, Department of Automation and Systems, Federal University of Santa Catarina, Florianópolis, BrazilGoogle Scholar
  • Camponogara E., Talukdar S. N. Matching network agents to tasks: Problem formulation, experiments, and polyhedral results. Proc. Oper. Res. Peripatetic Post-Graduate Programme (ORP3) Conf. (2001b) (IEEE CS Press, Paris, France) Google Scholar
  • Camponogara E., Talukdar S. N. Designing communication networks for distributed control agents. Eur. J. Oper. Res. (2004) 153:544–563CrossrefGoogle Scholar
  • Camponogara E., Jia D., Krogh B. H., Talukdar S. N. Distributed model predictive control. IEEE Control Systems Magazine (2002) 22:44–52CrossrefGoogle Scholar
  • Christie R. (2000) . Power system test case archive, http://www.ee.washington.edu/research/pstcaGoogle Scholar
  • Concordia C. Electric power sytems: Past, present, and future. IEEE Power Engrg. Rev. (1999) February):7–8CrossrefGoogle Scholar
  • Das I., Dennis J. E. A closer look at drawbacks of minimizing weighted sums of objectives for Pareto set generation in multicriteria optimization problems. Structural Optim. (1997) 14:63–69CrossrefGoogle Scholar
  • Ehrgott M., Gandibleux X. An annotated bibliography of multiobjective combinatorial optimization. (2000) . Technical report 62/2000, Fachbereich Mathematik, Universitat Kaiserslautern, Kaiserlautern, GermanyGoogle Scholar
  • Galiana F. D., Almeida K., Toussaint M., Griffin J., Atanackovic D., Ooi B. T., McGillis D. T. Assessment and control of the impact of FACTS devices on power system performance. IEEE Trans. Power Systems (1996) 11:1931–1936CrossrefGoogle Scholar
  • García C. B., Pret D. B., Morari M. Model predictive control: Theory and practice—a survey. Automatica (1989) 35:335–348CrossrefGoogle Scholar
  • Guéret C., Prins C., Sevaux M.Applications of Optimization with Xpress-MP (2000) (Dash Optimization Ltd., Blisworth, UK) Google Scholar
  • Hingorani N. G. Power electronics in electric utilities: Role of power electronics in future power systems. Proc. IEEE (1988) 76:481–482CrossrefGoogle Scholar
  • Isermann H. Proper efficiency and the linear vector maximum problem. Oper. Res. (1974) 22:189–191LinkGoogle Scholar
  • Lawrence C., Zhou J. L., Tits A. L. User’s guide for CFSQP version 2.5. (1994) . Technical report, Institute for Systems Research, University of Maryland, College Park, MDGoogle Scholar
  • Miettinen K. M.Nonlinear Multiobjective Optimization (1999) (Kluwer Academic Publishers, Boston, MA) Google Scholar
  • Morari M., Lee J. H. Model predictive control: Past, present and future. Comput. Chemical Engrg. (1999) 23:667–682CrossrefGoogle Scholar
  • Morgan M. G., Talukdar S. N. Nurturing R&D in the new electric power regime. IEEE Spectrum (1996) 33:32–33CrossrefGoogle Scholar
  • Morton T. E., Pentico D. W.Heuristic Scheduling Systems (1993) (John Wiley & Sons, New York) Google Scholar
  • Mosca E.Optimal, Predictive, and Adaptive Control (1995) (Prentice Hall, Englewood Cliffs, NJ) Google Scholar
  • Pavella M., Murthy P. G.Transient Stability of Power Systems: Theory and Practice (1994) (John Wiley & Sons, New York) Google Scholar
  • Pierce H. E., Colborn H. W., Coleman D. W., Marriage E. A., Richard J. C., Rindt L. J., Rubino L. J., Stagg G. W., Traub T. P., Vandergrift J., Winn C. E., Young C. C. Common format for exchange of solved load flow data. IEEE Trans. Power Apparatus Systems (1973) PAS-92:1916–1925CrossrefGoogle Scholar
  • Rawlings J. B. Tutorial: Model predictive control technology. Proc. Amer. Control Conf. (1999) San Diego, CA:662–676Google Scholar
  • Slotine J. J., Li W.Applied Nonlinear Control (1991) (Prentice Hall, Englewood Cliffs, NJ) Google Scholar
  • Talukdar S. N., Camponogara E. Collaborative nets. Proc. 33rd Hawaii Internat. Conf. System Sci. (2000) Maui, HICrossrefGoogle Scholar
  • Talukdar S. N., Camponogara E. Network control as a distributed, dynamic game. Proc. 34th Hawaii Internat. Conf. System Sci. (2001) Maui, HICrossrefGoogle Scholar
  • Talukdar S. N., Murthy S., Akkiraju R., Glover F., Kochenberger G. A. Asynchronous teams. Handbook of Metaheuristics (2003) (Kluwer Academic Publishers, Norwell, MA) 537–556CrossrefGoogle Scholar
  • Talukdar S. N., Baerentzen L., Gove A., de Souza P. S. Asynchronous teams: Cooperation schemes for autonomous agents. J. Heuristics (1998) 4:295–321CrossrefGoogle Scholar
  • Wendell R. E., Lee D. N. Efficiency in multiple objective optimization problems. Math. Programming (1977) 12:406–414CrossrefGoogle Scholar
INFORMS site uses cookies to store information on your computer. Some are essential to make our site work; Others help us improve the user experience. By using this site, you consent to the placement of these cookies. Please read our Privacy Statement to learn more.