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Stochastic optimal control of MDOF nonlinear systems under combined harmonic and wide-band noise excitations

机译:谐波和宽带噪声激励共同作用下的MDOF非线性系统的随机最优控制

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摘要

A strategy for stochastic optimal control of multi-degrees-of-freedom (MDOF) strongly nonlinear systems under combined harmonic and wide-band noise excitations is proposed. First, a stochastic averaging procedure is developed to obtain the partially averaged It stochastic differential equations for weakly controlled strongly nonlinear systems under combined harmonic and wide-band noise excitations. Then, the dynamical programming equation for stochastic optimal control problem is derived and solved to yield the optimal control law. Finally, the responses of optimally controlled MDOF nonlinear systems are predicted by solving the Fokker-Planck-Kolmogorov equation associated with the fully averaged It stochastic differential equations. As an example, the stochastic optimal control of two coupled Duffing oscillators under combined harmonic and wide-band noise excitations is worked out in detail to illustrate the strategy. The effectiveness of the proposed control strategy is verified using the results from Monte Carlo simulation.
机译:提出了一种在谐波和宽带噪声激励共同作用下的多自由度(MDOF)强非线性系统的随机最优控制策略。首先,开发了一种随机平均程序,以获得在谐波和宽带噪声激励下弱控制的强非线性系统的部分平均It随机微分方程。然后,推导并求解了随机最优控制问题的动态规划方程,得到了最优控制律。最后,通过求解与完全平均的It随机微分方程相关的Fokker-Planck-Kolmogorov方程,可以预测最优控制的MDOF非线性系统的响应。例如,详细研究了在谐波和宽带噪声组合激励下两个耦合Duffing振荡器的随机最优控制,以说明该策略。蒙特卡罗模拟的结果验证了所提出控制策略的有效性。

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