Resilient control for wireless networked control systems

Ji, Kun; Dong, Wei

doi:10.1007/s12555-011-0210-7

Cited by 30 publications

(12 citation statements)

References 12 publications

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“…In Ref. [12], an intelligent resilient control algorithm for a wireless networked control system, based on a quantification of the concept of resiliency in terms of quality of control, is proposed. The authors developed an intelligent resilient control algorithm that ensures operational normalcy in face of wireless interference incidents, such as radio frequency jamming or signal blocking.…”

Section: Resilient Systemsmentioning

confidence: 99%

Resilience Enhancement in Cyber-Physical Systems: A Multiagent-Based Framework

Januário¹,

Leitão²,

Cardoso³

et al. 2017

Multi-Agent Systems

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The growing developments on networked devices, with different communication platforms and capabilities, made the cyber-physical systems an integrating part of most critical industrial infrastructures. Given their increasing integration with corporate networks, in which the industry 4.0 is the most recent driving force, new uncertainties, not only from the tangible physical world, but also from a cyber space perspective, are brought into play. In order to improve the overall resilience of a cyber-physical system, this work proposes a framework based on a distributed middleware that integrates a multiagent topology, where each agent is responsible for coordinating and executing specific tasks. In this framework, both physical and cyber vulnerabilities alike are considered, and the achievement of a correct state awareness and minimum levels of acceptable operation, in response to physical or malicious disturbances, are guaranteed. Experimental results collected with an IPv6-based simulator comprising several distributed computational devices and heterogeneous communication networks show the relevance and inherent benefits of this approach.

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Section: Resilient Systemsmentioning

confidence: 99%

Resilience Enhancement in Cyber-Physical Systems: A Multiagent-Based Framework

Januário¹,

Leitão²,

Cardoso³

et al. 2017

Multi-Agent Systems

View full text Add to dashboard Cite

show abstract

“…In [9], the authors propose a hybrid theoretical framework to analyse and design, in a quantitative and holistic way, robust and resilient control systems that can be subject to different types of disturbances, at different layers of the system. The work in [10] presents an intelligent resilient control algorithm for a wireless network control system based on the quantification of the concept of resiliency in terms of the quality of control. The authors developed an intelligent resilient control algorithm that maintains operational normalcy in face of wireless interference incidents, such as radio frequency jamming and signal blocking, while [11] proposes a resilient condition assessment monitoring system, able to dynamically adapt and reconfigure, depending on the assessed conditions.…”

Section: Resilient Systemsmentioning

confidence: 99%

A General Distributed Architecture for Resilient Monitoring over Heterogeneous Networks

Januário

Cardoso

Gil

2014

Technological Innovation for Collective Awareness Systems

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Abstract. The growing developments on networked devices, with different communication structures and capabilities made possible the emergence of new architectures for monitoring systems. In the case of heterogeneous distributed environments, where knowledge, processing devices, sensors and actuators are distributed throughout the network, the design of such systems are challenging in terms of integration and, markedly, in security and state-awareness of the overall system. This work proposes a general distributed architecture, with supporting methods, for building a resilient monitoring system that can adaptively accommodate both cyber and physical anomalies. Its implementation relies on multi-agent systems within a distributed middleware.

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“…The proposed solution uses well-established control theory to guarantee accuracy and system stability. Finally, we mention the recent work of Ji and Wei [10] that proposed a method to quantify the resilience of NICS in terms of quality of control. The authors also proposed a control algorithm for wireless NICS that is able to keep the process in a normal operating state while it is confronted with attacks such as Radio Frequency jamming and signal blocking.…”

Section: Related Workmentioning

confidence: 99%

An Experimental Study on the Impact of Network Segmentation to the Resilience of Physical Processes

Genge

Siaterlis

2012

Networking 2012

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Abstract. The fact that modern Networked Industrial Control Systems (NICS) depend on Information and Communication Technologies (ICT) is well known. Although many studies have focused on the security of NICS, today we still lack a proper understanding of the impact that network design choices have on the resilience of NICS, e.g., a network architecture using VLAN segmentation. In this paper we investigate the impact of process control network segmentation on the resilience of physical processes. We consider an adversary capable of reprogramming the logic of control hardware in order to disrupt the normal operation of the physical process. Our analysis that is based on the Tennessee-Eastman chemical process proves that network design decisions significantly increase the resilience of the process using as resilience metric the time that the process is able to run after the attack is started, before shutting down. Therefore a resilience-aware network design can provide a tolerance period of several hours that would give operators more time to intervene, e.g., switch OFF devices or disconnect equipment in order to reduce damages.

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Resilient control for wireless networked control systems

Cited by 30 publications

References 12 publications

Resilience Enhancement in Cyber-Physical Systems: A Multiagent-Based Framework

Resilience Enhancement in Cyber-Physical Systems: A Multiagent-Based Framework

A General Distributed Architecture for Resilient Monitoring over Heterogeneous Networks

An Experimental Study on the Impact of Network Segmentation to the Resilience of Physical Processes

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