Title :
Infinite horizon robustly stable seismic protection of cable-stayed bridges using cost cumulants
Author :
Pham, Khanh D. ; Sain, Michael K. ; Liberty, Stanley R.
Author_Institution :
Dept. of Electr. Eng., Notre Dame Univ., IN, USA
fDate :
June 30 2004-July 2 2004
Abstract :
The basic idea behind infinite horizon state feedback k-cost-cumulant (kCC) control is to seek a constant state feedback law which minimizes the value of a finite linear combination of the first k cost cumulants of a traditional integral quadratic cost associated with a linear stochastic system, when there is no specification of a large terminal time. The paper begins with the development of matrix algebraic equations for the cost cumulants. These equations permit the incorporation of classes of linear feedback controllers for linear dynamical systems defined on infinite horizon. The infinite horizon control problem with the optimization goal of a finite linear combination of the first k cost cumulants is then stated. Because the control optimization problem at hand involves matrix equality constraints, the optimal feedback solution is investigated by utilizing a Lagrange multipliers technique. The efficacy and applicability of this control paradigm, based upon the first three cost cumulants, are demonstrated on the second earthquake generation benchmark for response control of cable-stayed bridges (Caicedo, J.M., et al., 2003). The simulation results indicate that the cost cumulants in the infinite horizon case offer significant improvements in robust stability margin while keeping comparable levels of structural performance when comparing to those of the baseline LQG in the benchmark.
Keywords :
bridges (structures); building; control system synthesis; higher order statistics; infinite horizon; linear quadratic Gaussian control; matrix algebra; robust control; state feedback; stochastic systems; cable-stayed bridges; infinite horizon control; infinite horizon state feedback; integral quadratic cost; k cost cumulant control; linear stochastic system; matrix algebraic equations; robust stability;
Conference_Titel :
American Control Conference, 2004. Proceedings of the 2004
Conference_Location :
Boston, MA, USA
Print_ISBN :
0-7803-8335-4