A Controllability Problem of Finite-Field Networks*

Wanjie Zhu, Jinde Cao, Xinli Shi
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Abstract

In this paper, the controllability of finite-field network (FFN) with single input is investigated through an algebra-theoretic perspective. An algebraic criterion on the matrix pair for controllability is derived, distinguishing FFNs from the classic real/complex-valued networks, and involving the algebraic structure caused by the system matrix pair. Basing on this, we further study a minimal controllability problem, i.e., finding a minimum number of agents to be affected by input, to make the system controllable. For FFN with single input, we present that the minimum number desired depends on the number of elementary divisors of the system matrix, if the given base satisfies certain condition. Meanwhile, we provide the corresponding method of constructing an optimal solution to the minimal controllability problem. In the end, we show that the set of all controllable pairs is dense in some sense by figuring the probability of the occurrence of a controllable pair.
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有限域网络的可控性问题*
本文从代数理论的角度研究了单输入有限域网络的可控性。推导了矩阵对可控性的代数判据,将ffn与经典的实/复值网络区分开来,并涉及系统矩阵对引起的代数结构。在此基础上,我们进一步研究了最小可控性问题,即寻找受输入影响的最小智能体数量,使系统可控。对于单输入FFN,如果给定基满足一定条件,则期望的最小数取决于系统矩阵的初等因数的个数。同时,给出了构造最小可控性问题最优解的相应方法。最后,通过计算一个可控对出现的概率,证明了所有可控对的集合在某种意义上是密集的。
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