Stability of Model-Based Networked Control Systems With Time-Varying Transmission Times
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- 13 September 2004
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Automatic Control
- Vol. 49 (9), 1562-1572
- https://doi.org/10.1109/tac.2004.834107
Abstract
In model-based networked control systems (MB-NCSs), an explicit model of the plant is used to produce an estimate of the plant state behavior between transmission times. In this paper, the stability of MB-NCSs is studied when the controller/actuator is updated with the sensor information at nonconstant time intervals. Networked control systems with transmission times that are varying either within a time interval or are driven by a stochastic process with identically independently distributed and Markov-chain driven transmission times are studied. Sufficient conditions for Lyapunov stability are derived. For stochastically modeled transmission times almost sure stability and mean-square sufficient conditions for stability are introduced.Keywords
This publication has 14 references indexed in Scilit:
- On the model-based control of networked systemsAutomatica, 2003
- State and output feedback control in model-based networked control systemsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Feedback control systems as users of a shared network: communication sequences that guarantee stabilityPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Stabilizing a linear system by switching control and output feedback with dwell timePublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Optimal control of networked systems via asynchronous communication channels with irregular delaysPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Trading computation for bandwidth: reducing communication in distributed control systems using state estimatorsIEEE Transactions on Control Systems Technology, 2002
- Robust model predictive control: A surveyPublished by Springer Nature ,1999
- A new general sufficient condition for almost sure stability of jump linear systemsIEEE Transactions on Automatic Control, 1997
- Stability Results for Discrete-Time Linear Systems with Markovian Jumping ParametersJournal of Mathematical Analysis and Applications, 1993
- A survey of stability of stochastic systemsAutomatica, 1969