Controlling complex networked systems is a real-world puzzle that remains largely unsolved. Despite recent progress in understanding the structural characteristics of network control energy, target state and system dynamics have not been explored. We examine how varying the final state mixture affects the control energy of canonical and conformity-incorporated dynamical systems. We find that the control energy required to drive a network to an identical final state is lower than that required to arrive a non-identical final state. We also demonstrate that it is easier to achieve full control in a conformity-based dynamical network. Finally we determine the optimal control strategy in terms of the network hierarchical structure. Our work offers a realistic understanding of the control energy within the final state mixture and sheds light on controlling complex systems.

中文翻译：

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控制复杂网络朝向不同混合态的能量。

控制复杂的网络系统是一个现实难题，至今仍未解决。尽管最近在了解网络控制能量的结构特征方面取得了进展，但尚未探索目标状态和系统动力学。我们研究了变化的最终状态混合如何影响规范的和整合了整合的动力学系统的控制能量。我们发现，将网络驱动到相同的最终状态所需的控制能量低于达到不同的最终状态所需的控制能量。我们还证明，在基于一致性的动态网络中更容易实现完全控制。最后，我们根据网络层次结构确定最佳控制策略。