复杂网络的目标控制:如何节省控制能量
Tao Meng1, Gaopeng Duan1, Aming Li1,2
1Center for Systems and Control, College of Engineering, Peking University, Beijing 100871, China.
Physical review. E
|August 16, 2023
概括
研究人员发现,设置无法控制节点的初始状态可以在复杂网络中指数级减少控制能量. 这种方法为实际的网络控制应用提供了显著的能源节约.
科学领域:
- 网络科学 网络科学
- 控制理论 控制理论
- 系统工程 系统工程
背景情况:
- 由于高能耗要求,控制复杂的网络是一个重大挑战.
- 减少控制能量的现有方法通常涉及增加驱动节点或减少目标节点.
- 在实际应用中,控制能源的成本仍然是主要障碍.
研究的目的:
- 研究复杂网络中指数级降低控制能量的方法.
- 为了确定不可控制节点的能量最佳初始状态.
- 通过初始状态操纵和最佳输入时间制定最小化控制能量的策略.
主要方法:
- 理论分析以确定任何网络结构的能量最佳初始状态.
- 数字模拟来验证控制能量的指数降低.
- 为控制输入注入的最佳时间制定战略.
主要成果:
- 为无法控制的节点设置特定的初始状态可以指数地减少所需的控制能量.
- 确定了能源最佳的初始状态,并证明了它们对所有网络类型的存在.
- 减少最佳和实际初始状态之间的距离进一步节省了控制能量.
- 控制输入的最佳时机也可以导致指数级的能量减少.
结论:
- 操纵无法控制节点的初始状态是一种高效的策略,用于节能控制网络.
- 提出的方法为降低现实世界复杂系统中的控制能源成本提供了显著的潜力.
- 结果为优化各种网络应用中的控制策略提供了实用的见解.
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