Title :
Infinite-horizon, Multiple-Cumulant Cost Density-Shaping for stochastic optimal control
Author :
Zyskowski, M. ; Diersing, R.
fDate :
June 29 2011-July 1 2011
Abstract :
Recently for the LQG framework, cost density-shaping control paradigms for stochastic optimizations have been proposed. These new control methods have enabled the shape of a target cost density to be transformed into a linear control law. However, the theory developed so far pertains exclusively to the finite-horizon. The purpose of this work is to develop a Multiple-Cumulant Cost Density-Shaping (MCCDS) control solution as the terminal time approaches infinity. The first-generation benchmark for seismically-excited buildings will be used to validate the infinite-horizon MCCDS control law.
Keywords :
infinite horizon; linear quadratic Gaussian control; linear systems; optimal control; optimisation; stochastic systems; LQG framework; first-generation benchmark; infinite-horizon; linear control law; multiple-cumulant cost density-shaping control; seismically-excited building; stochastic optimal control; stochastic optimization; Benchmark testing; Buildings; Equations; Mathematical model; Optimization; Performance analysis; Shape; cost cumulant control; cost density-shaping; infinite horizon; stochastic optimal control; structural control;
Conference_Titel :
American Control Conference (ACC), 2011
Conference_Location :
San Francisco, CA
Print_ISBN :
978-1-4577-0080-4
DOI :
10.1109/ACC.2011.5991235