Semiglobal Observer-Based Non-Negative Edge Consensus of Networked Systems With Actuator Saturation

Su, Housheng; Sun, Yaping; Zeng, Zhigang

doi:10.1109/tcyb.2019.2917006

Cited by 42 publications

(6 citation statements)

References 32 publications

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“…On the other hand, with the progress of output feedback technology (Zhang et al, 2016Zhao et al, 2020) and its application in consensus field (Su et al 2019a;Wang et al 2018Wang et al , 2019c, the formation control with output feedback technique has attracted much attention by Zhao et al (2019) and Yu et al (2019a). Zhao et al (2019) have studied the issues of observer-based formation tracking for second-order linear systems, and then Yu et al (2019a) developed an observer-based method to achieve collision avoidance and connectively maintenance for formation tracking.…”

Section: Introductionmentioning

confidence: 99%

Distributed adaptive time-varying formation control for Lipschitz nonlinear multi-agent systems

Yan

Zhang

Guo

et al. 2021

Transactions of the Institute of Measurement and Control

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In this paper, two kinds of distributed time-varying formation tracking problems for a class of Lipschitz nonlinear multi-agent systems are investigated, that is, the cases with leadless and leader-following formation. By devising a new type of edge-based adaptive algorithm, the controller of each agent can avoid the use of eigenvalues of Laplacian matrix in communication networks. The proposed algorithm only utilizes local information among neighbouring agents to form time-varying formation for nonlinear multi-agent systems with mismatched nonlinearities, and the formation tracking error is uniformly ultimately bounded. To accomplish the required time-varying formation characteristic, a predesigned formation compensation function is given. Finally, numerical simulation examples are presented to indicate the stability of the proposed algorithm, and a comparison is also given to show the superiority of the given algorithm.

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Section: Introductionmentioning

confidence: 99%

Distributed adaptive time-varying formation control for Lipschitz nonlinear multi-agent systems

Yan

Zhang

Guo

et al. 2021

Transactions of the Institute of Measurement and Control

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“…Many scholars recently have paid considerable attention to stochastic differential equations (SDEs), as they can be applied in many fields such as mathematics, physics, mechanics, biology, economics, complex networks, control engineering, multiagent systems, and financial markets [1][2][3][4][5][6][7][8]. However, these applications are largely dependent on the stability of the systems, namely, the long-time asymptotic behavior of the solutions to SDEs.…”

Section: Introductionmentioning

confidence: 99%

Dynamics of the Exponential Population Growth System with Mixed Fractional Brownian Motion

Liu

Zhu

et al. 2021

Complexity

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This paper examines the dynamics of the exponential population growth system with mixed fractional Brownian motion. First, we establish some useful lemmas that provide powerful tools for studying the stochastic differential equations with mixed fractional Brownian motion. We offer some explicit expressions and numerical characteristics such as mathematical expectation and variance of the solutions of the exponential population growth system with mixed fractional Brownian motion. Second, we propose two sufficient and necessary conditions for the almost sure exponential stability and the k th moment exponential stability of the solution of the constant coefficient exponential population growth system with mixed fractional Brownian motion. Furthermore, we conduct some large deviation analysis of this mixed fractional population growth system. To the best of the authors’ knowledge, this is the first paper to investigate how the Hurst index affects the exponential stability and large deviations in the biological population system. It is interesting that the phenomenon of large deviations always occurs for addressed system when 1 / 2 < H < 1 . Moreover, several numerical simulations are reported to show the effectiveness of the proposed approach.

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“…That is based on the information transmit between agents, design an appropriate control protocol, so that all agents can achieve together. Therefore, the consensus is a basic problem for the coordinated control of MAS 7‐15 . Liu et al 7 studied the distributed consensus problem for linear discrete‐time MAS with delays and noises in transmission channels.…”

Section: Introductionmentioning

confidence: 99%

Consensus of heterogeneous discrete‐time multi‐agent systems with noise over Markov switching topologies

Sun

Lei

Kurths

2020

Intl J Robust & Nonlinear

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This paper considers the mean‐square bounded consensus of heterogeneous discrete‐time multi‐agent systems with noise over fixed and Markov switching topologies. Firstly, a protocol is designed based on the agents' neighbor information with noise. Secondly, by using the Lyapunov function method, matrix analysis and probability theory, sufficient conditions for the mean‐square bounded consensus are given. Finally, several simulations are presented to illustrate the potential correctness of the results.

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Semiglobal Observer-Based Non-Negative Edge Consensus of Networked Systems With Actuator Saturation

Cited by 42 publications

References 32 publications

Distributed adaptive time-varying formation control for Lipschitz nonlinear multi-agent systems

Distributed adaptive time-varying formation control for Lipschitz nonlinear multi-agent systems

Dynamics of the Exponential Population Growth System with Mixed Fractional Brownian Motion

Consensus of heterogeneous discrete‐time multi‐agent systems with noise over Markov switching topologies

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