论文标题
部分可观测时空混沌系统的无模型预测
Stable and Historic Behavior in Replicator Equations Generated by Similar-Order Preserving Mappings
论文作者
论文摘要
储层计算是预测湍流的有力工具，其简单的架构具有处理大型系统的计算效率。然而，其实现通常需要完整的状态向量测量和系统非线性知识。我们使用非线性投影函数将系统测量扩展到高维空间，然后将其输入到储层中以获得预测。我们展示了这种储层计算网络在时空混沌系统上的应用，该系统模拟了湍流的若干特征。我们表明，使用径向基函数作为非线性投影器，即使只有部分观测并且不知道控制方程，也能稳健地捕捉复杂的系统非线性。最后，我们表明，当测量稀疏、不完整且带有噪声，甚至控制方程变得不准确时，我们的网络仍然可以产生相当准确的预测，从而为实际湍流系统的无模型预测铺平了道路。
One could observe drastically different dynamics of zero-sum and non-zero-sum games under replicator equations. In zero-sum games, heteroclinic cycles naturally occur whenever the species of the population supersede each other in a cyclic fashion (like for the Rock-Paper-Scissors game). In this case, the highly erratic oscillations may cause the divergence of the time averages. In contrast, it is a common belief that the most ``reasonable" replicator equations of non-zero-sum games satisfy ``The Folk Theorem of Evolutionary Game Theory" which asserts that (i) a Nash equilibrium is a rest point; (ii) a stable rest point is a Nash equilibrium; (iii) a strictly Nash equilibrium is asymptotically stable; (iv) any interior convergent orbit evolves to a Nash equilibrium. In this paper, we propose two distinct vast classes of replicator equations generated by similar-order preserving mappings which exhibit stable as well as mean historic behavior. In the latter case, the time averages of the orbit will slowly oscillate during the evolution of the system and do not converge to any limit. This will eventually cause the divergence of higher-order repeated time averages.
