Admissible output consensualization control for singular multi-agent systems with time delays

Xi, Jianxiang; He, Ming; Liu, Hao; Zheng, Jianfei

doi:10.1016/j.jfranklin.2016.07.021

Cited by 143 publications

(88 citation statements)

References 30 publications

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“…Besides introducing a novel method for clustering, a major contribution of this paper is proposing a criterion for checking whether or not a high-order LTI (Linear TimeInvariant) multiagent system can reach group consensus, which generalizes the existing well-known necessary and sufficient condition for consensus achievement [24][25][26][27][28]. In fact, the existing condition on consensus is a particular instance of the condition for group consensus presented here.…”

Section: Complexitymentioning

confidence: 99%

A Novel Clustering Method Based on Quasi-Consensus Motions of Dynamical Multiagent Systems

2017

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This paper presents a novel approach for clustering, which is based on quasi-consensus of dynamical linear high-order multiagent systems. The graph topology is associated with a selected multiagent system, with each agent corresponding to one vertex. In order to reveal the cluster structure, the agents belonging to a similar cluster are expected to aggregate together. To establish the theoretical foundation, a necessary and sufficient condition is given to check the achievement of group consensus. Two numerical instances are furnished to illustrate the results of our approach.

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Section: Complexitymentioning

confidence: 99%

A Novel Clustering Method Based on Quasi-Consensus Motions of Dynamical Multiagent Systems

2017

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“…Additionally, artificial systems and practice systems simultaneously operate to compose a paralleled system based on social computing, which could reciprocally compare the running process for artificial and actual objects to accomplish effective control and management of the real systems. Actually, the social computing methods based on artificial system no longer are to approach practical complex systems as the sole criterion, but is a replaceable or realizable form [8,9].…”

Section: Introductionmentioning

confidence: 99%

An Overview of Approach of Social Computing and Experimental Simulation

Tan

Cai

Gu³

et al. 2017

Advances in Computer Science Research

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Abstract. In this current article, it is endeavor to explore the possible methods that are from qualitative to quantitative and also combine computer technology to address social system interaction. A distributed paralleled model based on social computing is established to analyze different experiment data and wish to overcome the limitations of complex systems. At the same time, some simulation results will be illustrated in the follow section to further prove the feasibility of experiment.

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“…At present, in the uncertain information that have been recognized by people, their uncertainty can be summarized as randomness, ambiguity, grayness and uncertainty [5,6]. The randomness is expressed and processed by the probability in mathematics.…”

Section: Introductionmentioning

confidence: 99%

The Application of the Unascertained Rational Number In Calculating the Gravitational Acceleration

Li¹,

Cai

Tan

et al. 2017

Advances in Computer Science Research

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Abstracts. This article starts with solving the actual problems, raises the definition of unascertained rational numbers and the unascertained rational number method in the calculation of the gravitational acceleration, which implements the unascertained rational number in the application of the practical problems. It is more scientific to calculate the acceleration of gravity by using the method of unascertained rational number according to the calculation result.

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Admissible output consensualization control for singular multi-agent systems with time delays

Cited by 143 publications

References 30 publications

A Novel Clustering Method Based on Quasi-Consensus Motions of Dynamical Multiagent Systems

A Novel Clustering Method Based on Quasi-Consensus Motions of Dynamical Multiagent Systems

An Overview of Approach of Social Computing and Experimental Simulation

The Application of the Unascertained Rational Number In Calculating the Gravitational Acceleration

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