库普曼算子的谱理论在动力系统和控制理论中的应用

I. Mezić
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引用次数: 53

摘要

最近的贡献扩展了库普曼算子理论从动力系统到控制的适用性。稳定性理论被重新表述为库普曼算子的谱性质[1],在我们处理线性系统和非线性系统的方式之间提供了一个很好的联系,并打开了在完全非线性环境中使用经典线性理论的大门,例如极点放置理论。在最优控制的背景下,新概念如等稳态被证明是有用的。在这里,我们使用Kato分解对一般LTI系统进行了Koopman展开。我们也用库普曼特征函数的零水平集来解释稳定和不稳定子空间。然后利用库普曼特征函数的共轭性质将这些结果推广到全局稳定系统。最后,我们讨论了如何用算子理论重新表述经典的Hamilton-Jacobi-Bellman最优控制集,并指出了谱算子理论在max-plus代数中的适用性。微分正性等几何理论也与Koopman算子的谱理论有关[2],在吸引子是不动点或极限环的情况下,为更一般的准周期和混沌吸引子的情况指明了道路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On applications of the spectral theory of the Koopman operator in dynamical systems and control theory
Recent contributions have extended the applicability of Koopman operator theory from dynamical systems to control. Stability theory got reformulated in terms of spectral properties of the Koopman operator [1], providing a nice link between the way we treat linear systems and nonlinear systems and opening the door for the use of classical linear e.g. pole placement theory in the fully nonlinear setting. New concepts such as isostables proved useful in the context of optimal control. Here, using Kato Decomposition we develop Koopman expansion for general LTI systems. We also interpret stable and unstable subspaces in terms of zero level sets of Koopman eigenfunctions. We then utilize conjugacy properties of Koopman eigenfunctions to extend these results to globally stable systems. In conclusion, we discuss how the classical Hamilton-Jacobi-Bellman setting for optimal control can be reformulated in operator-theoretic terms and point the applicability of spectral operator theory in max-plus algebra to it. Geometric theories such as differential positivity have been also related to spectral theories of the Koopman operator [2], in cases when the attractor is a fixed point or a limit cycle, pointing the way to the more general case of quasiperiodic and chaotic attractors.
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