Journal
AUTOMATICA
Volume 125, Issue -, Pages -Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.automatica.2020.109385
Keywords
Networked control systems; Vectorization operation; Matrix decomposition; Stochastically stable
Funding
- National Natural Science Foundation of China [62021003, 61533002, 62088101, 6192530]
- National Key R&D Program of China [2018YFB1700100]
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This paper investigates the stability and controller design of Networked Control Systems (NCSs) with network-induced delays and random sampling intervals. By considering moment stability and Lyapunov stability and using a new matrix decomposition method, conditions for stability and a stabilization controller design are derived. The proposed approach is validated through a benchmark example to demonstrate its effectiveness.
In this paper, the stability of and controller design for networked control systems (NCSs) with network-induced delays and random sampling intervals are investigated. Specifically, the network-induced delays and sampling intervals are assumed random following a joint probability density function. For stability analysis, the system is modeled in the discrete-time domain. In this context, both the moment stability and Lyapunov stability are considered, for which conditions guaranteeing stability are derived leveraging a vectorization technique. By introducing a new matrix decomposition method, the stabilization controller is designed so that the closed-loop system is stochastically stable in the presence of random sampling intervals and network-induced delays. Finally, a benchmark example is provided to validate the effectiveness of the proposed approach. (C) 2020 Published by Elsevier Ltd.
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