控制器(灌溉)
非线性系统
计算机科学
控制理论(社会学)
能量(信号处理)
循环(图论)
拓扑(电路)
网络拓扑
复杂网络
开环控制器
控制(管理)
复杂系统
闭环
控制工程
数学
物理
人工智能
工程类
计算机网络
万维网
农学
组合数学
统计
生物
量子力学
作者
Yongzheng Sun,Siyang Leng,Ying‐Cheng Lai,Celso Grebogi,Wei Lin
标识
DOI:10.1103/physrevlett.119.198301
摘要
Controlling complex nonlinear networks is largely an unsolved problem at the present. Existing works focus either on open-loop control strategies and their energy consumptions or on closed-loop control schemes with an infinite-time duration. We articulate a finite-time, closed-loop controller with an eye toward the physical and mathematical underpinnings of the trade-off between the control time and energy as well as their dependence on the network parameters and structure. The closed-loop controller is tested on a large number of real systems including stem cell differentiation, food webs, random ecosystems, and spiking neuronal networks. Our results represent a step forward in developing a rigorous and general framework to control nonlinear dynamical networks with a complex topology.
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