Controllability and Observability of Heterogeneous Networked Systems With Non-Uniform Node Dimensions and Distinct Inner-Coupling Matrices

Aleena Thomas;Abhijith Ajayakumar;Raju K. George
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Abstract

In this paper, controllability and observability of a heterogeneous networked system with Linear Time Invariant (LTI) nodal systems having Multiple-Inputs and Multiple-Outputs (MIMO) aligned in a weighted and directed network topology are studied. Apart from the heterogenity in nodal dynamics, the inner-coupling matrices that quantify the interactions among nodes are also different. In contrast to the existing literature, the system under consideration has distinct node dimensions, which adds to the generality. Necessary and sufficient conditions for controllability and observability as well as certain necessary conditions for controllability of a class of networked systems are established. These conditions show the dependence of network controllability and observability on various node and network-specific factors. As a practical application, a three-sector economy is modelled as a heterogeneous networked system with distinct node dimensions and its controllability is analysed. Computational time in floating point operations (flops) of the proposed methods are estimated, which indicates their efficiency on comparison with the classical conditions. This is illustrated by computational comparison of the existing and proposed schemes, applied to a randomly generated networked system. Also, robustness of the proposed schemes are analysed with the example of randomly generated networked systems. All the results are supported with illustrative numerical examples.
具有非均匀节点维数和不同内耦合矩阵的异构网络系统的可控性和可观察性
本文研究了具有多输入多输出(MIMO)的线性时不变(LTI)节点系统在加权有向网络拓扑结构中的可控性和可观察性问题。除了节点动力学的异质性外,量化节点间相互作用的内耦合矩阵也不同。与现有文献相比,所考虑的系统具有不同的节点维度,这增加了通用性。建立了一类网络系统的可控性和可观测性的充分必要条件以及可控性的若干必要条件。这些条件表明网络的可控性和可观测性依赖于各种节点和网络特定因素。作为实际应用,本文将三部门经济建模为具有不同节点维度的异构网络系统,并分析了其可控性。对所提方法的浮点运算计算时间进行了估计,并与经典条件进行了比较。这是通过计算比较现有的和提出的方案,应用于一个随机生成的网络系统。并以随机生成的网络系统为例,对所提方案的鲁棒性进行了分析。所有的结果都得到了数值实例的支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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