Abstract
In this paper, a bounded optimal control for maximizing the reliability of randomly excited nonlinear oscillators with fractional derivative damping is proposed. First, the partially averaged Itô equations for the energy processes of individual degree of freedom are derived by using the stochastic averaging method. Second, the dynamical programming equations for the control problems of maximizing the reliability function and maximizing the mean first passage time are established from the partially averaged Itô equations by using the dynamical programming principle. The optimal control law is derived from the dynamical programming equation and control constraints. Third, the conditional reliability function and mean first passage time of the optimally controlled system are obtained by solving the backward Kolmogorov equation and Pontryagin equation associated with the fully averaged Itô equation, respectively. The application of the proposed procedure and effectiveness of the control strategy are illustrated by using two examples. Besides, the effect of fractional derivative order on the reliability of the optimally controlled system is examined.
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Chen, L., Lou, Q., Zhuang, Q. et al. A bounded optimal control for maximizing the reliability of randomly excited nonlinear oscillators with fractional derivative damping. Acta Mech 223, 2703–2721 (2012). https://doi.org/10.1007/s00707-012-0722-0
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DOI: https://doi.org/10.1007/s00707-012-0722-0