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Civil-Comp Proceedings
ISSN 1759-3433 CCP: 93
PROCEEDINGS OF THE TENTH INTERNATIONAL CONFERENCE ON COMPUTATIONAL STRUCTURES TECHNOLOGY Edited by:
Paper 206
Optimal Structural Control under Stochastic Uncertainty: Stochastic Optimal Open-Loop Feedback Control K. Marti
Aerospace Engineering and Technology, Federal Armed Forces University Munich, Neubiberg/Munich, Germany K. Marti, "Optimal Structural Control under Stochastic Uncertainty: Stochastic Optimal Open-Loop Feedback Control", in , (Editors), "Proceedings of the Tenth International Conference on Computational Structures Technology", Civil-Comp Press, Stirlingshire, UK, Paper 206, 2010. doi:10.4203/ccp.93.206
Keywords: active structural control under stochastic uncertainty, optimal regulators, stochastic optimal open-loop feedback control, stochastic Hamiltonian, H-minimum control, two-point boundary value problems.
Summary
Active regulator strategies are considered [1] for stabilizing dynamic mechanical
structures under stochastic applied loadings. The problem is modeled in the framework of
stochastic optimal control for minimizing the expected total costs arising from the
displacements of the structure and the regulation costs. Due to the great advantages of
open-loop feedback controls, stochastic optimal open-loop feedback controls are
constructed by taking into account the random parameter variations in the stochastic
structural control problem. For finding first stochastic optimal open-loop controls, on
the remaining time intervals tb<=t<=tf with
t0<=tb<=tf, the
stochastic Hamilton function of the control problem is considered. Then, the class
of H-minimum controls can be determined by solving a finite-dimensional stochastic
optimization problem [2] for minimizing the conditional expectation of the stochastic
Hamiltonian subject to the remaining deterministic control constraints at each time point
t. Having a H-minimum control, the related two-point boundary value problem with
random parameters is formulated for the computation of the stochastic optimal state and
adjoint state trajectory. As a result of the linear-quadratic structure of the underlying control
problem, the state and adjoint state trajectory can be determined analytically to a large
extent. Inserting then these trajectories into the H-minimum control, stochastic optimal
open-loop controls are found on an arbitrary remaining time interval. These controls
then immediately yield a stochastic optimal open-loop feedback control law.
References
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