NDLI: Controllability and observability of networked singular systems

Content Provider	IET Digital Library
Author	Zhu, Zhen Hua Guan, Zhi Hong Li, Tao Chen, Jie Jiang, Xiao Wei
Abstract	The controllability and observability of networked systems are studied, where the network topology is directed and the nodes are time-invariant singular linear systems. Under the regularity assumption, a specific condition for the R-controllability of the network with single-input single-output node-systems is first established. Furthermore, necessary and sufficient conditions are derived for the R-controllability and C-controllability of the network with multi-input multi-output node systems. It is shown that the controllability of the overall system is an integrated result of the network topology, the subsystem dynamics, the external inputs, and the inner interactions. Additionally, corresponding observability criteria for such systems are also obtained, which indicate that the observability of the whole system depends only on the parameters of its subsystem. Finally, several examples are given to illustrate the proposed results.
Starting Page	763
Ending Page	771
Page Count	9
ISSN	17518644
Volume Number	13
e-ISSN	17518652
Issue Number	Issue 6, Apr (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-cta/13/6
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-cta.2018.5010
Journal	IET Control Theory & Applications
Publisher Date	2019-01-31
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	C-controllability Continuous Time System Controllability Corresponding Observability Criteria Discrete Control System Discrete Time System Linear System Multiinput Multioutput Node System Necessary Condition Network Topology Networked Singular System Observability R-controllability Regularity Assumption Single-output Node-System Specific Condition Stability Stability in Control Theory Sufficient Condition Time-invariant Singular Linear System
Content Type	Text
Resource Type	Article
Subject	Control and Optimization Control and Systems Engineering Human-Computer Interaction Electrical and Electronic Engineering Computer Science Applications

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