Multi-Group Formation Tracking Control for Second-Order Nonlinear Multi-Agent Systems Using Adaptive Neural Networks

Zhang, Siwei; Li, Tao; Cheng, Ximing; Li, Jie; Xue, Bingchuan

doi:10.1109/access.2021.3137205

Cited by 4 publications

(5 citation statements)

References 32 publications

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“…Let the gain α = 5, β = 8, and choose ρ * = 1. Suppose that the time intervals in which aperiodic DoS attacks occur are [20,25], [30,35], [40,45], and [50, 55].…”

Section: Simulationmentioning

confidence: 99%

“…Select α = 6, β = 10 and ρ * = 0.5. Suppose that the time intervals in which aperiodic DoS attacks occur are [20,25], [30,35], [40,45] under switching topology. Figure 7 shows the trajectories of all agents of the MAS ( 5) and ( 6) with switching topology under DoS attacks.…”

Section: Simulationmentioning

confidence: 99%

“…Compared with the traditional formation control problem, bipartite formation enables agents to achieve two formation structures in opposite directions. Zhang et al [25] explored the multi-group formation for nonlinear MASs based on a neural network approximator. Utilizing signed directed topology, Yang et al [26] explored the bipartite leader-following consensus issues.…”

Section: Introductionmentioning

confidence: 99%

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Bipartite Formation Control of Nonlinear Multi-Agent Systems with Fixed and Switching Topologies under Aperiodic DoS Attacks

Li,

Wang

et al. 2024

Electronics

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This paper concentrates on bipartite formation control for nonlinear leader-following multi-agent systems (MASs) with fixed and switching topologies under aperiodic Denial-of-Service (DoS) attacks. Firstly, distributed control protocols are proposed under the aperiodic DoS attacks based on fixed and switching topologies. Then, considering control gains, as well as attack frequency and attack length ratio of the aperiodic DoS attacks, using algebraic graph theory and the Lyapunov stability method, some criteria are acquired to ensure that the nonlinear leader-following MASs with either fixed or switching topologies can realize bipartite formation under aperiodic DoS attacks. Finally, numerical simulations are carried out to validate the correctness of the theoretical results.

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“…Let the gain α = 5, β = 8, and choose ρ * = 1. Suppose that the time intervals in which aperiodic DoS attacks occur are [20,25], [30,35], [40,45], and [50, 55].…”

Section: Simulationmentioning

confidence: 99%

Section: Simulationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Bipartite Formation Control of Nonlinear Multi-Agent Systems with Fixed and Switching Topologies under Aperiodic DoS Attacks

Li,

Wang

et al. 2024

Electronics

Self Cite

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“…[19][20][21] A distributed controller related to adaptive control method is designed for nonlinear high-order MASs, in which NN technology is applied to deal with the unknown term of the system. [22][23][24] It is worth noting that the constraint problem is not in Betracht kommen.…”

Section: Introductionmentioning

confidence: 99%

“…Under the condition of imprecise communication topology, a distributed control scheme is designed based on adaptive control and BLF 19‐21 . A distributed controller related to adaptive control method is designed for nonlinear high‐order MASs, in which NN technology is applied to deal with the unknown term of the system 22‐24 . It is worth noting that the constraint problem is not in Betracht kommen.…”

Section: Introductionmentioning

confidence: 99%

Distributed adaptive NN control for nonlinear multi‐agent systems with function constraints on states

Yuan

Liu

et al. 2022

Intl J Robust & Nonlinear

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An adaptive neural network (NN) distributed tracking control strategy is proposed for nonlinear strict-feedback multi-agent systems, which is affected by time-varying full state constraints. The influence of asymmetric state constraints is also considered. The constraint bounds are related to both state vectors and time. Different from the usual constant boundary or function boundary, the constraint boundary adopted in this article not only considers the influence of state variables, but also takes time into consideration, which makes the constraint boundary more flexible and more difficult to solve. In addition, in order to solve the disturbance of the unknown function in the system, this article adopts the NN technology to realize the approximation effect of the unknown function, and designs a adaptive distributed controller based on the asymmetric obstacle Lyapunov function and backward step method, the closed-loop signals are proved to be CSUUB.

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Bipartite Containment Disturbance Rejection Using Disturbance Observers

Wang

Zhan

2022

IEEE Access

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This paper mainly addresses bipartite containment control of multi-agent systems (MASs) subject to exogenous disturbances. With dynamic gain technique independent of any global information, the disturbance observer method is applied to estimate disturbances generated by heterogeneous nonlinear exosystems. Two disturbance observer-based controllers are accordingly presented via state feedback approach and output feedback approach. By means of appropriate Lyapunov method, it is shown that the bipartite containment control is realized under sufficient criteria. Finally, simulations are employed to validate the effectiveness and correctness of our proposed controllers.INDEX TERMS Bipartite containment control, disturbance observer, heterogeneous nonlinear exosystems, feedback control.

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Multi-Group Formation Tracking Control for Second-Order Nonlinear Multi-Agent Systems Using Adaptive Neural Networks

Abstract: Date of publication xxxx 00, 0000, date of current version xxxx 00, 0000.

Cited by 4 publications

References 32 publications

Bipartite Formation Control of Nonlinear Multi-Agent Systems with Fixed and Switching Topologies under Aperiodic DoS Attacks

Bipartite Formation Control of Nonlinear Multi-Agent Systems with Fixed and Switching Topologies under Aperiodic DoS Attacks

Distributed adaptive NN control for nonlinear multi‐agent systems with function constraints on states

Bipartite Containment Disturbance Rejection Using Disturbance Observers

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