Fault-tolerant consensus of nonlinear multi-agent systems with directed link failures, communication noise and actuator faults

This paper investigates the consensus problem for the distributed multiagent system (MAS), where the trajectory of each agent is displayed by curvature and torsion, and the communication behaviors among agents are influenced by time delay and corrupted by noises. According to the Frenet–Serret formulas, a class of consensus protocols is designed for all agents, and a closed-loop system is obtained. Based on the Lyapunov method, several consensus criteria are derived, where the consensus criteria are characterized by curvature functions and torsion functions. Finally, one example shows the reliability of the proposed methods.

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“…Hence, L(ϱ ι )X(t) � L(ϱ ι )e(t), and system (28) can be shown by e′(t) � (I − P)Π(t)e(t) +(I − P)Σ(t)e(t − a) +(I − P)Σ(t)CW, (30)…”

Section: The Main Resultsmentioning

confidence: 99%

“…. By considering the directed link failures or recoveries, a fault-tolerant control strategy with Markovian switching topology is provided for a nonlinear MAS, and some sufficient conditions of stochastic consensus are obtained, where MAS is in the presence of communication noises and actuator faults [30].…”

Section: Introductionmentioning

confidence: 99%

Curvature- and Torsion-Based Consensus for the Markovian Switching Multiagent System with Communication of Noise Disturbance and Time Delay

Mou

Tong

Xian-yi

et al. 2021

Mathematical Problems in Engineering

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“…At the same time, new agents may join the system and start to create new connections and change the neighborhood map of the previous agents. Sometimes communications may fail due to link failures between two agents [56].…”

Section: Actionsmentioning

confidence: 99%

A Survey of Adaptive Multi-Agent Networks and Their Applications in Smart Cities

Nezamoddini

Gholami

2022

Smart Cities

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The world is moving toward a new connected world in which millions of intelligent processing devices communicate with each other to provide services in transportation, telecommunication, and power grids in the future’s smart cities. Distributed computing is considered one of the efficient platforms for processing and management of massive amounts of data collected by smart devices. This can be implemented by utilizing multi-agent systems (MASs) with multiple autonomous computational entities by memory and computation capabilities and the possibility of message-passing between them. These systems provide a dynamic and self-adaptive platform for managing distributed large-scale systems, such as the Internet-of-Things (IoTs). Despite, the potential applicability of MASs in smart cities, very few practical systems have been deployed using agent-oriented systems. This research surveys the existing techniques presented in the literature that can be utilized for implementing adaptive multi-agent networks in smart cities. The related literature is categorized based on the steps of designing and controlling these adaptive systems. These steps cover the techniques required to define, monitor, plan, and evaluate the performance of an autonomous MAS. At the end, the challenges and barriers for the utilization of these systems in current smart cities, and insights and directions for future research in this domain, are presented.

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“…Kar et al 17 described the consensus in MASs considering communication link failures and channel noise among agents. Tariverdi et al 18 presented a fault-tolerant consensus of MASs having non-linear dynamics. This study considered directed communication topologies with link failures and communication noise.…”

Section: Introductionmentioning

confidence: 99%

The consensus of non-linear agents under switching topology using dynamic inversion in the presence of communication noise and delay

Mondal

Tsourdos

2021

Proceedings of the Institution of Mechanical Engineers, Part G:

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In this study, a consensus protocol for non-linear multi-agent systems using the non-linear dynamic inversion (NDI) technique is presented. It is named as distributed NDI or DNDI. The agents are considered to be working in a randomly changing environment which is realistic. The randomness in the operating environment is introduced by random switching communication topology, delays, and noise. The consensus protocol is obtained as a closed-form expression, which is a critical requirement for real-time implementation. Also, various cases regarding the communication issues have been considered to study the performance of the DNDI controller. The simulation results are found to be satisfactory.

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Fault-tolerant consensus of nonlinear multi-agent systems with directed link failures, communication noise and actuator faults

Cited by 15 publications

References 27 publications

Curvature- and Torsion-Based Consensus for the Markovian Switching Multiagent System with Communication of Noise Disturbance and Time Delay

Curvature- and Torsion-Based Consensus for the Markovian Switching Multiagent System with Communication of Noise Disturbance and Time Delay

A Survey of Adaptive Multi-Agent Networks and Their Applications in Smart Cities

The consensus of non-linear agents under switching topology using dynamic inversion in the presence of communication noise and delay

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