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arXiv 1807.03412math.OC
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大规模线性系网络的图子控制

Graphon Control of Large-scale Networks of Linear Systems

Shuang Gao, Peter E. Caines

摘要:

用标准方法实现超大规模复杂网络的控制目标是非常困难的。本文利用图子理论和无穷维系统理论,提出并发展了复杂网络系统的近似控制理论。首先,图子动力系统模型制定在一个适当的无限维空间,以表示任意大小的网络的线性动力系统,并定义收敛的网络系统的序列在空间中的限制。研究了图子动力系统的精确能控性和近似能控性。其次,研究了复杂网络系统的最小能量状态到状态控制问题和线性二次型调节器问题。在每种情况下解决了graphon极限系统的控制问题,并定义了近似值,从而为原始控制问题提供控制律。此外,建立了逼近格式的收敛性。系统的控制设计方法是在这个框架内开发的。最后,给出了具有随机抽样权重的网络的数值例子来说明图子控制方法的有效性。

英文摘要:

To achieve control objectives for extremely large-scale complex networks using standard methods is essentially intractable. In this work a theory of the approximate control of complex network systems is proposed and developed by the use of graphon theory and the theory of infinite dimensional systems. First, graphon dynamical system models are formulated in an appropriate infinite dimensional space in order to represent arbitrary-size networks of linear dynamical systems, and to define the convergence of sequences of network systems with limits in the space. Exact controllability and approximate controllability of graphon dynamical systems are then investigated. Second, the minimum energy state-to-state control problem and the linear quadratic regulator problem for systems on complex networks are considered. The control problem for graphon limit systems is solved in each case and approximations are defined which yield control laws for the original control problems. Furthermore, convergence properties of the approximation schemes are established. A systematic control design methodology is developed within this framework. Finally, numerical examples of networks with randomly sampled weightings are presented to illustrate the effectiveness of the graphon control methodology.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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