Controllability of Multilayer Networked Sampled-data Systems
This paper explores the state controllability of multilayer networked sampled-data systems with inter-layer couplings, where zero-order holders (ZOHs) are on the control and transmission channels. The effects of both single- and multi-rate sampling on controllability of multilayer networked linear time-invariant (LTI) systems are analyzed, with some sufficient and/or necessary controllability conditions derived. Under specific conditions, the pathological sampling of single node systems could be eliminated by the network structure and inner couplings among different nodes and different layers. The representative drive-response inter-layer coupling mode is studied, and it reveals that the whole system could be controllable due to the inter-layer couplings even if the response layer is uncontrollable itself. Moreover, simulated examples show that the modification of sampling rate on local channels could lay a positive or negative effect on the controllability of the whole system. All the results indicate that the controllability of the multilayer networked sampled-data system is collectively affected by mutually coupled factors.
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
Controllability of Networked Sampled-data Systems
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…
Controllability of Coarsely Measured Networked Linear Dynamical Systems (Extended Version)
We consider the controllability of large-scale linear networked dynamical systems when complete knowledge of network structure is unavailable and knowledge is limited to coarse summaries. We provide conditions under whic…
Community DetectionStochastic Block ModelQuantifying the Controllability of Coarsely Characterized Networked Dynamical Systems
We study the controllability of large-scale networked dynamical systems when complete knowledge of network structure is unavailable. In particular, we establish the power of learning community-based representations to un…
Community DetectionStochastic Block ModelStructural Controllability of Networked Relative Coupling Systems
This paper studies controllability of networked systems in which subsystems are of general high-order linear dynamics and coupled through relative variables (called networked relative coupling systems, NRCSs in abbreviat…
AllControllability of networked multiagent systems based on linearized Turing's model
Turing's model has been widely used to explain how simple, uniform structures can give rise to complex, patterned structures during the development of organisms. However, it is very hard to establish rigorous theoretical…