4.7 Article

Resilient control for networked control systems with dynamic quantization and DoS attacks

Publisher

WILEY
DOI: 10.1002/rnc.6961

Keywords

denial-of-service attacks; event-triggered communication; networked control systems; quantization

Ask authors/readers for more resources

This article investigates the resilient control for networked control systems in the presence of denial-of-service (DoS) attacks using a sampled-data and dynamic quantization scheme. A novel dynamic quantization strategy is designed for signal transmissions in the presence of DoS attacks. An estimator is introduced to design control laws and sufficient conditions are provided for the asymptotic stability of the system. An event-triggered communication scheme is also designed to reduce network resource consumption.
In this article, the resilient control for networked control systems in the presence of denial-of-service (DoS) attacks is investigated in a sampled-data and dynamic quantization scheme. A novel dynamic quantization strategy is designed for signal transmissions from encoding systems to decoding systems, in which the quantized states are transmitted through networks with a risk of DoS attacks. An estimator is introduced to the design of control laws. Some sufficient conditions in terms of quantization levels, DoS attack duration and frequencies are given for the asymptotic stability of networked control systems. Furthermore, an event-triggered communication scheme is designed for signal transmissions in control channels to reduce network resource consumption. The Zeno behavior is excluded in the designed event-triggered communication scheme. The quantization levels can be adaptively adjusted according to real-time situations. Finally, the effectiveness of the proposed strategy is illustrated by simulations.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available