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State-Feedback, Finite-Horizon, Cost Density-Shaping Control for the Linear Quadratic Gaussian Framework

Author

Listed:
  • M. J. Zyskowski

    (Hamilton Sundstrand—Electric Systems)

  • M. K. Sain

    (University of Notre Dame)

  • R. W. Diersing

    (University of Southern Indiana)

Abstract

A Multiple-Cumulant Cost Density-Shaping (MCCDS) control is proposed for the case when the system is linear and the cost is quadratic. This linear optimal control results from the minimization of an analytic, convex, non-negative function of cost cumulants and target cost cumulants. The MCCDS control allows the designer to shape the initial cost density with respect to a target density approximated by target cost cumulants. A numerical experiment shows that MCCDS control compares favorably with competing control paradigms in terms of official performance measures for inter-story drifts and per-story accelerations used in the first-generation structure benchmark for seismically excited buildings.

Suggested Citation

  • M. J. Zyskowski & M. K. Sain & R. W. Diersing, 2011. "State-Feedback, Finite-Horizon, Cost Density-Shaping Control for the Linear Quadratic Gaussian Framework," Journal of Optimization Theory and Applications, Springer, vol. 150(2), pages 251-274, August.
    • Handle: RePEc:spr:joptap:v:150:y:2011:i:2:d:10.1007_s10957-011-9836-0
    DOI: 10.1007/s10957-011-9836-0
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    References listed on IDEAS

    as
    1. K.D. Pham & M.K. Sain & S.R. Liberty, 2002. "Cost Cumulant Control: State-Feedback, Finite-Horizon Paradigm with Application to Seismic Protection," Journal of Optimization Theory and Applications, Springer, vol. 115(3), pages 685-710, December.
    2. Chris John Myers (ed.), 2010. "Stochastic Control," Books, IntechOpen, number 788, January-J.
    Full references (including those not matched with items on IDEAS)

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