论文标题
网络采样数据系统的可控性
Controllability of Networked Sampled-data Systems
论文作者
论文摘要
探索了在控制和传输通道上具有零级持有人的网络采样数据系统的可控性，分别考虑了单速率和多速率采样模式。分析了采样对网络系统可控性的影响，并得出了一些必要和/或足够的可控性条件。与单个系统的采样控制不同，节点系统的病理采样可以通过网络结构和内部耦合的适当设计来消除。对于单数拓扑矩阵，单节节点的病理采样将导致整个系统失去可控性。此外，任何定期采样都不会影响具有特定节点动力学的网络系统的可控性。所有结果表明，网络系统是否处于病理采样之下，由相互耦合因子共同确定。
The controllability of networked sampled-data systems with zero-order holders on the control and transmission channels is explored, where single- and multi-rate sampling patterns are considered, respectively. The effects of sampling on the controllability of networked systems are analyzed, with some necessary and/or sufficient controllability conditions derived. Different from the sampling control of single systems, the pathological sampling of node systems could be eliminated by an appropriate design of network structure and inner couplings. While for singular topology matrices, the pathological sampling of single nodes will cause the entire system to lose controllability. Moreover, any periodic sampling will not affect the controllability of networked systems with specific node dynamics. All the results indicate that whether a networked system is under pathological sampling or not is jointly determined by mutually coupled factors.
