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STOCHASTIC OPTIMAL CONTROL OF LINEAR MULTI-DEGREE-OF-FREEDOM SYSTEMS UNDER NONSTATIONARY RANDOM EXCITATIONS

机译:非平稳随机激励下线性多自由度系统的随机最优控制

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Stochastic optimal control is an important area of research in engineering systems that undergo disturbances such as earthquake excitations and blast waves. Controlling states such as positions of different parts in these systems is critical in situations in which the system has to operate within limited range of its states. The present investigation is concerned with the application of the stochastic optimal control strategy developed by To (2010) and its implementation as well as providing computed results of linear systems under nonstationary random excitations. In the strategy the feedback matrix is designed based on the achievement of the objectives for individual states in the system through the application of the Lyapunov equation of the system. Every diagonal element in the gain or associated gain matrix is related to the corresponding states. The strategy is applied to two two-degree-of-freedom (dof) systems representing buildings under earthquake excitations. Optimally controlled nonstationary random displacements were obtained by the proposed method and presented in this paper. The computed results include the time-dependent elements of the associated gain matrix. Three-dimensional (3D) graphical representations of the optimally controlled largest peaks of mean squares of displacements and velocities against elements of the feedback gain matrix were included. The latter 3D presentations are important for the design engineer who needs to choose elements of the gain matrix in order to achieve a specific objective in certain states of the system.
机译:随机最优控制是工程系统的重要研究领域,工程系统会受到地震激励和爆炸波等干扰的影响。在系统必须在其状态的有限范围内运行的情况下,控制状态(例如,这些系统中不同零件的位置)至关重要。本研究关注由To(2010)开发的随机最优控制策略的应用及其实现,以及在非平稳随机激励下提供线性系统的计算结果。在该策略中,通过应用系统的Lyapunov方程,基于实现系统中各个状态的目标来设计反馈矩阵。增益或关联的增益矩阵中的每个对角线元素都与相应的状态相关。该策略被应用于代表地震激励下的建筑物的两个两自由度(dof)系统。通过提出的方法获得了最优控制的非平稳随机位移,并在本文中进行了介绍。计算结果包括相关增益矩阵的时间相关元素。包括相对于反馈增益矩阵的元素的位移和速度均方根的最佳控制的最大峰值的三维(3D)图形表示。对于需要选择增益矩阵元素以便在系统某些状态下实现特定目标的设计工程师而言,后一种3D演示非常重要。

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