Bounded consensus of double-integrator stochastic multi-agent systems-Reference-Cited by-同舟云学术

Bounded consensus of double-integrator stochastic multi-agent systems

Published:2022 Issue:11 Volume:15 Page:3243
ISSN:1937-1632
Container-title:Discrete and Continuous Dynamical Systems - S
language:
Short-container-title:DCDS-S

Author:

Luo Mei¹,Wang Jinrong¹,Liao Yumei²

Affiliation:

1. Department of Mathematics, Guizhou University, Guiyang, Guizhou 550025, China

2. Department of Mathematics, Guizhou Education University, Guiyang, Guizhou 550018, China

Abstract

<p style='text-indent:20px;'>In the framework of fixed topology and stochastic switching topologies, we study the mean-square bounded consensus(MSBC) of double-integrator stochastic multi-agent systems(SMASs) including additive system noises and communication noises. Combining algebra, graph theory and random analysis, we obtain several equivalent conditions for double-integrator SMASs to reach MSBC. In addition, the simulation examples also verify the correctness of the theoretical results.</p>

Publisher

American Institute of Mathematical Sciences (AIMS)

Subject

Applied Mathematics,Discrete Mathematics and Combinatorics,Analysis

Reference59 articles.

1. J. W. Brewer.Kronecker products and matrix calculus in system theory. Special issue on the mathematical foundations of system theory, IEEE Trans. Circuits and Systems, 25 (1978), 772-781.

2. X. K. Cao, M. Fečkan, D. Shen, J. Wang.Iterative learning control for multi-agent systems with impulsive consensus tracking, Nonlinear Anal. Model. Control, 26 (2021), 130-150.

3. B. B. Chang, X. W. Mu, Z. Yang and J. Y. Fang, Event-based secure consensus of muti-agent systems under asynchronous DoS attacks, Applied Mathematics and Computation, 401 (2021), 126120, 11 pp.

4. G. Chen, L. Y. Wang, C. Chen, G. Yin.Critical connectivity and fastest convergence rates of distributed consensus with switching topologies and additive noises, IEEE Trans. Automat. Control, 62 (2017), 6152-6167.

5. Z. Y. Chen, Y. Liu, W. He, H. Qiao, H. Ji.Adaptive-neural-network-based trajectory tracking control for a nonholonomic wheeled mobile robot with velocity constraints, IEEE Transactions on Industrial Electronics, 68 (2021), 5057-5067.

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Stochastic convergence problems on switching networks: An event-triggered method;Chaos, Solitons & Fractals;2023-05

2. Necessary and sufficient conditions for mean‐square bounded consensus of multiagent systems with additive noise;Mathematical Methods in the Applied Sciences;2023-04-11

3. Event-triggered control for second-order multi-agent systems under denial-of-service attacks and white noises;Journal of the Franklin Institute;2023-04

4. Resilient control of double-integrator stochastic multi-agent systems under denial-of-service attacks;Journal of the Franklin Institute;2022-11

5. Finite‐time adaptive consensus of stochastic multi‐agent systems with node‐based and edge‐based adaptive law design methods;International Journal of Adaptive Control and Signal Processing;2022-09-13