We present a method for optimizing inputs of multibody systems for a subsequently performed parameter identification. Herein, optimality with respect to identifiability is attained by maximizing the information content in measurements described by the Fisher information matrix. For solving the resulting optimization problem, the adjoint system of the sensitivity differential equation system is employed. The proposed approach combines these two well-established methods and can be applied to multibody systems in a systematic, automated manner. Furthermore, additional optimization goals can be added and used to find inputs satisfying, for example, end conditions or state constraints.

中文翻译：

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通过使用扩展的伴随方法，为多体系统优化输入设计。

我们提出了一种优化多体系统输入的方法，用于随后执行的参数识别。在此，通过使由费舍尔信息矩阵描述的测量中的信息含量最大化来实现关于可识别性的最优性。为了解决由此产生的最优化问题，采用了灵敏度微分方程系统的伴随系统。所提出的方法结合了这两种公认的方法，可以以系统，自动化的方式应用于多体系统。此外，可以添加其他优化目标并将其用于查找满足（例如）最终条件或状态约束的输入。