Resilient Event-triggered Average Consensus Under Denial of Service Attack and Uncertain Network

Amini, Amir; Azarbahram, Ali; Mohammadi, Arash; Asif, Amir

doi:10.1109/codit.2019.8820659

Cited by 4 publications

(3 citation statements)

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“…The last couple of years have instead witnessed tremendous efforts to extend analysis and design methodologies to distributed systems which are the quintessential form of network systems. Most of the research in this area has been developed for consensus-like problems [13][14][15][40][41][42][43]. In this section, we first present a distributed consensus algorithm which is resilient to DoS, and then we discuss some of the (many) open problems in this area.…”

Section: Distributed Systemsmentioning

confidence: 99%

“…As mentioned at the beginning of Sect. 3.4, most of the research in this area has been developed for consensus-like problems [13][14][15][40][41][42][43]. Problems of this type are somehow "manageable" in the sense that they involve systems with stable or neutrally stable dynamics (like integrators in the context of consensus), which considerably simplifies analysis and design.…”

Section: Network With Complex Dynamicsmentioning

confidence: 99%

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Resilient Control Under Denial-of-Service: Results and Research Directions

Persis

Tesi

2021

Lecture Notes in Control and Information Sciences

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The question of security is becoming central for the current generation of engineering systems which more and more rely on networks to support monitoring and control tasks. This chapter addresses the question of designing network control systems that are resilient to Denial-of-Service, that is to phenomena which render a communication network unavailable to use. We review recent results in this area and discuss some of the research challenges.

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Section: Distributed Systemsmentioning

confidence: 99%

Section: Network With Complex Dynamicsmentioning

confidence: 99%

Resilient Control Under Denial-of-Service: Results and Research Directions

Persis

Tesi

2021

Lecture Notes in Control and Information Sciences

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“…T HE cooperative control of multi-agent systems (MASs) has certainly been among the most referred topics in the field of systems engineering in the past decade [1]- [5]. The control of collaborative MASs is inevitably linked with the concept of networked control systems (NCSs) [6]- [9]. For instance, when a networked group of interconnected agents performs a specific mission, the resiliency of network to measurement failures in transmission channels is considered among the essential concerns that should be taken into account.…”

Section: Introductionmentioning

confidence: 99%

Event-Triggered Tracking Formation of Networked Nonlinear Intelligent Transportation Systems Surrounded by Random Disturbances

Azarbahram

Amini

Pariz

2022

IEEE Trans. Intell. Transport. Syst.

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The paper proposes an intermittent communication mechanism for the tracking consensus of high-order nonlinear multi-agent systems (MASs) surrounded by random disturbances. Each collaborating agent is described by a class of high-order nonlinear uncertain strict-feedback dynamics which is disturbed by a wide stationary process representing the external noise. The resiliency level of this networked control system (NCS) to the failures of physical devices or unreliability of communication channels is analyzed by introducing a linear auxiliary trajectory of the system. More precisely, the unreliability of communication channels sometimes makes an agent incapable of sensing the local information or receiving it from neighboring nodes. Therefore, an intermittent communication scheme is proposed among the follower agents as a consequence of employing the linear auxiliary dynamics. The closed-loop networked system signals are proved to be noise-to-state practically stable in probability (NSpS-P). It has been justified that each agent follows the trajectory of the corresponding local auxiliary virtual system practically in probability. The simulation experiments finally quantify the effectiveness of our proposed approach in terms of providing a resilient performance against unreliability of communication channels and reaching the tracking consensus.

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