Consensus stability in multi-agent systems with periodically switched communication topology using Floquet theory

Maadani, Mohammad; Butcher, Eric A.

doi:10.1177/0142331220969055

Cited by 6 publications

(2 citation statements)

References 29 publications

(32 reference statements)

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“…This measure shows whether the proposed scheme will deviate the convergence of the agents when facing future changes of the state and output of the system and distributions [256]. Lyapunov-based stability is known as one of the primary methods for testing the stability of MASs [257]. The Routh-Hurwitz stability criterion was also applied for a stability analysis of high-order consensus problems [258].…”

Section: Performance Indicatorsmentioning

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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Section: Performance Indicatorsmentioning

confidence: 99%

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

Nezamoddini

Gholami

2022

Smart Cities

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“…In the distributed consensus algorithm, all the agents can only access to the local information which is received from the neighbors. The consensus problem of multi-agent system is divided into leader-following (Maadani and Butcher, 2021) and leader-less (Shang et al, 2021). The aim of the leader-following consensus problem is that all the follower agents follow the leader states (Zou et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Mean square consensus of heterogeneous multi-agent systems in the presence of actuator faults

Nazemorroaya

Shafieirad

Zahiripour

2022

Transactions of the Institute of Measurement and Control

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This paper presents the mean square consensus of multi-agent systems in the presence of actuator faults and stochastic disturbances. The dynamics of agents are considered to be heterogeneous. In addition, the information exchange between agents is modeled by a directed graph. The actuator faults are assumed as bias fault and loss of effectiveness fault. Using the adaptive control method and neural networks, a distributed controller is designed for the consensus problem of heterogeneous multi-agent systems with actuator faults and stochastic disturbances. Also, by applying Lyapunov theory, it is proved that the distributed controller guarantees the mean square consensus of heterogeneous multi-agent systems in the presence of bias faults, loss of effectiveness faults, and stochastic disturbances. Eventually, two numerical simulations are provided to show the ability of the distributed controller in the consensus problem.

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Non-pump Type Multi-hydraulic Synchronous Control Strategy

et al. 2021

2021 4th International Conference on Robotics, Control and Automation Engineering (RCAE)

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Consensus stability in multi-agent systems with periodically switched communication topology using Floquet theory

Cited by 6 publications

References 29 publications

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

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

Mean square consensus of heterogeneous multi-agent systems in the presence of actuator faults

Non-pump Type Multi-hydraulic Synchronous Control Strategy

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