Finite-Time Consensus of Second-Order Switched Nonlinear Multi-Agent Systems

Zou, Wencheng; Shi, Peng; Xiang, Zhengrong; Shi, Yan

doi:10.1109/tnnls.2019.2920880

Cited by 254 publications

(105 citation statements)

References 43 publications

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“…In consensus control, many control strategies are proposed for different problems, such as fault-tolerant control [19], synovial control [20] and event triggering control [21], etc. The adaptive control is an important method to deal with nonlinear systems.…”

Section: Introductionmentioning

confidence: 99%

Adaptive NN Control for Nonlinear Multi-Agent Systems With Unknown Control Direction and Full State Constraints

2021

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Section: Introductionmentioning

confidence: 99%

Adaptive NN Control for Nonlinear Multi-Agent Systems With Unknown Control Direction and Full State Constraints

2021

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“…Synchronization, as a typical collective behavior of neural networks, takes different forms, such as exponential synchronization [7], finite-time synchronization [8], robust synchronization [9], and asymptotical synchronization [10]. Zou et al [11] studied the practical finite-time consensus problem for the second-order heterogeneous switched nonlinear multi-agent systems. In the current references related to fuzzy cellular neural networks, Xing and Peng [12] stud-The associate editor coordinating the review of this manuscript and approving it for publication was Engang Tian .…”

Section: Introductionmentioning

confidence: 99%

Fixed-Time Synchronization of Fuzzy Cellular Neural Networks With Time-Varying Delays and Discontinuous Activations

Liu

Sun

2020

IEEE Access

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The present paper investigates the fixed-time synchronization for fuzzy cellular neural networks with time-varying delays and discontinuous activations. In the framework of differential inclusions, new and useful fixed-time synchronization criteria for the networks considered are established by utilizing the discontinuous state feedback control and constructing Lyapunov functionals, which significantly generalize and improve recent works in the literature. Numerical simulations are given to show the effectiveness of the fixed-time synchronization schemes. INDEX TERMS Delayed fuzzy cellular neural networks, discontinuous activations, state feedback control, fixed-time synchronization.

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Section: Introductionmentioning

confidence: 99%

“…In addition, the aforementioned finite‐time control literature 33‐37 for nonlinear systems were further extended to the finite‐time consensus researches for nonlinear multiagent systems, for instance, see References 38‐41. The finite‐time consensus investigation was concerned in Reference 38 for the nonlinear multiagent system, and the practical finite‐time consensus was explored in Reference 39 for the second‐order heterogeneous switched nonlinear multiagent system. By employing the finite‐time control method, the disturbed consensus protocols were designed in Reference 40 for the high‐order nonlinear multiagent system, and the synchronization was derived in Reference 41 by combining the finite‐time control technique with the homogenous system theories for the second‐order nonlinear multiagent system with a leader‐follower architecture.…”

Section: Introductionmentioning

confidence: 99%

Practical finite‐time sampled‐data output consensus for a class of nonlinear multiagent systems via output feedback

Mao

Huang

Xiang

et al. 2020

Intl J Robust & Nonlinear

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This article devotes a practical finite‐time sampled‐data output consensus investigation for a class of nonlinear multiagent systems with unavailable velocities and undirected topology via output feedback. Noticing that the focused multiagent system features nonlinearities with non‐Lipschitz restriction, and the outputs of the agents are detectable only at the sampling instants, a reduced‐order observer with the sampled output measurement is established for each follower to evaluate the unavailable velocity, and the distributed finite‐time sampled‐data consensus protocols, which are constructed by the established reduced‐order observer as well as the sampled output measurement of the agents, are developed by combining the techniques of adding a power integral and backstepping. By selecting a suitable Lyapunov function candidate, we can verify that the developed sampled‐data consensus protocols which work under the allowable sampling period and the appropriate design parameters can solve the considered practical finite‐time output consensus problem. Finally, two simulation examples, include a numerical and an engineering simulations, are provided to reveal the effectiveness and availability of the proposed consensus scheme.

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Finite-Time Consensus of Second-Order Switched Nonlinear Multi-Agent Systems

Cited by 254 publications

References 43 publications

Adaptive NN Control for Nonlinear Multi-Agent Systems With Unknown Control Direction and Full State Constraints

Adaptive NN Control for Nonlinear Multi-Agent Systems With Unknown Control Direction and Full State Constraints

Fixed-Time Synchronization of Fuzzy Cellular Neural Networks With Time-Varying Delays and Discontinuous Activations

Practical finite‐time sampled‐data output consensus for a class of nonlinear multiagent systems via output feedback

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