Consensus of Linear Multi-Agent Systems with Persistent Disturbances via Distributed Output Feedback

Mo, Lipo; Guo, Shaoyan

doi:10.1007/s11424-018-7265-y

Cited by 27 publications

(13 citation statements)

References 23 publications

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“…us, our model only considers some basic social factors, with the idiosyncrasy of individuals embodied by random noises. To the best of our knowledge, most of the parallel social systems are composed of individuals and communities, which are agent-based and networked [27][28][29][30][31][32], with some of the analytical properties potentially acquirable by relevant theories in system science [26,33]. It is worth nothing that the primary goal of virtual simulation systems is not for mimicking the real-world counterparts quantitatively, instead, they should be very helpful for verifying, interpreting, and enlightening the underlying factors and the possibility of some of the phenomena and mechanisms, qualitatively.…”

Section: Introductionmentioning

confidence: 99%

Modeling and Simulation Analysis of Journal Impact Factor Dynamics Based on Submission and Citation Rules

et al. 2020

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The variation of the journal impact factor is affected by many statistical and sociological factors such as the size of citation window and subject difference. In this work, we develop an impact factor dynamics model based on the parallel system, which can be used to analyze the correlation between the impact factor and certain elements. The parallel model aims to simulate the submission and citation behaviors of the papers in journals belonging to a similar subject, in a distributed manner. We perform Monte Carlo simulations to show how the model parameters influence the impact factor dynamics. Through extensive simulations, we reveal the important role that certain statistics elements and behaviors play to affect impact factors. The experimental results and analysis on actual data demonstrate that the value of the JIF is comprehensively influenced by the average review time, average number of references, and aging distribution of citation.

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Section: Introductionmentioning

confidence: 99%

Modeling and Simulation Analysis of Journal Impact Factor Dynamics Based on Submission and Citation Rules

et al. 2020

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“…It should be pointed out that distributed formation control has extensive applications in the cooperative operation of satellite clusters, the coordinated assembly of multiple robots, and the collaborative attack of multiple unmanned aerial ships, and Ren [14] summarized the existing formation control approaches including the virtualstructure one, the behavior-based one, and the consensus-based one and pointed out that the consensus-based approach can achieve distributed formation control and can develop the precise mathematical analysis. e consensus-based formation of linear swarm systems as well as their controllability was discussed in [15][16][17].…”

Section: Introductionmentioning

confidence: 99%

Formation Tracking for High-Order Time-Invariant Swarm Systems with Limited Energy and Fixed Topologies

et al. 2020

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The current paper investigates design and analysis problems of formation tracking for high-order linear time-invariant swarm systems, where communication topologies among agents have leader-following structures and the whole energy supply is limited. Firstly, the communication topology of a swarm system is depicted by a directed graph with a spanning tree, where the communication channels from the leader to followers are directional and the communication channels among followers are bidirectional, and a new formation tracking protocol with an energy integral term and a given upper bound is proposed to achieve formation tracking with the limited energy. Then, sufficient conditions for time-varying formation tracking design and analysis with the limited energy are presented, respectively, which include two/three linear matrix inequality constraints associated with the maximum and minimum nonzero eigenvalues of the Laplacian matrix of a communication topology. Especially, time-invariant formation tracking criteria are further deduced. Finally, two numerical examples are revealed to verify main theoretical conclusions.

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“…Cooperative control of MAS originated from bioscience, where many researchers aroused great interest in birds, bees, and fishes in nature. Many scholars found that the above cooperative behavior among agents is based on the swarm consensus [10][11][12][13][14][15][16][17], and all agents could perform tasks that cannot be achieved by a single one as a formation structure. e formation control, as a fundamental and key issue of cooperative control, refers to a team of interacting agents to perform complex tasks together in a certain geometric structure, which is applied to many fields, such as networking system of satellite clusters, movements of mobile robotics [18,19], cooperative attack of multiple missiles [20], and unmanned aerial vehicle formations [21,22].…”

Section: Introductionmentioning

confidence: 99%

Energy-Limited Time-Varying Formation Control for Second-Order Multiagent Systems

et al. 2020

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The energy-limited time-varying formation (ETVF) control problem of second-order multiagent systems (MAS) is addressed for both leaderless and leader-following communication topologies in this paper. Different from the previous results, the joint consideration of energy limitation and formation design is more challenging and practical. First, an ETVF control protocol is presented, and the total energy supply is pregiven and limited, which is more common in practical applications. Then, by an orthogonal transformation, the formation control problem is converted into the consensus stabilization problem for second-order leaderless MAS, where sufficient conditions for the ETVF are derived by joint design of control gains and the total energy. At the same time, the explicit formula that forms the formation center function is obtained to depict the macroscopic movement of the multiagent system as a whole. Moreover, the proposed method is also extended to the leader-following communication structure. Finally, two examples are given to verify the effectiveness of our theoretical results.

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Consensus of Linear Multi-Agent Systems with Persistent Disturbances via Distributed Output Feedback

Cited by 27 publications

References 23 publications

Modeling and Simulation Analysis of Journal Impact Factor Dynamics Based on Submission and Citation Rules

Modeling and Simulation Analysis of Journal Impact Factor Dynamics Based on Submission and Citation Rules

Formation Tracking for High-Order Time-Invariant Swarm Systems with Limited Energy and Fixed Topologies

Energy-Limited Time-Varying Formation Control for Second-Order Multiagent Systems

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