Composite Antidisturbance Control for Hidden Markov Jump Systems With Multi-Sensor Against Replay Attacks
East China University of Science and Technology · Anhui University of Technology · +1 more institution
Abstract
This article discusses the problem of composite $\mathcal {H}_{\infty }$ control for hidden Markov jump systems subject to replay attacks. Since it is difficult to obtain the mode information of the system directly in practice, a hidden Markov model is adopted to facilitate subsequent works. The hidden state represents the actual system dynamics that cannot be known exactly, but can be observed by the detector. Considering the multi-disturbance phenomenon, one of which is norm bounded and another is produced by an exogenous system, a composite $\mathcal {H}_{\infty }$ control scheme based on disturbance observer is designed to improve the antidisturbance ability of the system. In addition, with the help of…
Citation impact
- FWCI
- 33.49
- Percentile
- 100%
- References
- 28
Authors
4Topics & keywords
- Hidden Markov model
- Composite number
- Computer science
- Control theory (sociology)
- Jump
- Markov process
- Markov chain
- Control (management)
- Peace, Justice and strong institutions