Adaptive Variable Impulsive Synchronization of Multi-agent Systems

Gao, Lei; Xiao, Jing; Guo, Xiaoxuan; Ou, Shifeng; Zhou, Yangjun; Wu, Ning; Feng, Yubin; Yao, Zhiyang

doi:10.1007/s42835-019-00315-6

Cited by 6 publications

(3 citation statements)

References 42 publications

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“…In various control methods, adaptive control can change its own characteristics to maintain high work quality when the information of the system and environment is incomplete. In addition, adaptive control is one of the effective control techniques to realize the consensus of MASs and some related results are obtained, see References 10‐16. For example, in Reference 11, the synchronization problem of uncertain chaotic system was solved by designing the sliding mode adaptive controllers.…”

Section: Introductionmentioning

confidence: 99%

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Adaptive and optimal regulation controller design for fractional linear multi‐agent systems

Zhou,

Wu,

Cao

et al. 2023

Optim Control Appl Methods

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SummaryThis express brief is concerned with the adaptive and optimal regulation control for fractional linear multi‐agent systems (MASs). Firstly, the adaptive control strategy is applied to address the regulation issue for fractional linear MASs with time varying edges. Under the designed adaptive control protocols with adaptive edge‐dependent synchronization gain, the regulation condition is achieved by constructing a Lyapunov functional with the edges. Secondly, the optimal control approach is used to solve the regulation issue for fractional linear MASs with constant edges. The optimization gain is chosen by minimizing an appropriate performance function. Moreover, the synchronization objectives are also achieved based on the proposed the regulation conditions. Finally, the correctness of the theoretical analysis and the feasibility of the designed controllers are verified by two numerical examples.

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Section: Introductionmentioning

confidence: 99%

“…In Reference 14, the consensus of linear MASs with cyber attacks was considered based on the adaptive event‐triggered control. The adaptive synchronization of MASs was discussed by the variable impulsive control in Reference 15. It is worth noting that the aforementioned works only consider the consensus of integer‐order MASs.…”

Section: Introductionmentioning

confidence: 99%

Adaptive and optimal regulation controller design for fractional linear multi‐agent systems

Zhou,

Wu,

Cao

et al. 2023

Optim Control Appl Methods

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show abstract

“…The best advantage of the comparison system method is the simplified system model, which is better than the existing Lyapunov stability-based methods to some extent. There are some research works to address control schemes with variable impulsive control and comparison system method [47][48][49]. However, owing to the analytical complexity of stochastic impulsive control system, there are few existing results to investigate the consensus of stochastic perturbed MAS with variable impulsive control.…”

Section: Introductionmentioning

confidence: 99%

Leader-Following Consensus of Stochastic Perturbed Multi-Agent Systems via Variable Impulsive Control and Comparison System Method

Xiao¹,

Guo²,

Feng³

et al. 2020

IEEE Access

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In this paper, we explore the consensus control scheme of stochastic perturbed nonlinear multi-agent systems with impulsive protocol and comparison system method. The effective variable impulsive consensus method is used to remove the restriction of fixed impulsive instants, which is more reliable and flexible in practical applications. From the theory of impulsive differential system, comparison system and stochastic differential system, some sufficient consensus conditions are derived and the relation between the system parameters and impulsive time window is analyzed extensively. The effectiveness of the proposed control method is confirmed by the numerical simulations finally.

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An Improved Spectral Clustering Algorithm Using Fast Dynamic Time Warping for Power Load Curve Analysis

Leng

Liu

et al. 2020

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Adaptive Variable Impulsive Synchronization of Multi-agent Systems

Cited by 6 publications

References 42 publications

Adaptive and optimal regulation controller design for fractional linear multi‐agent systems

Adaptive and optimal regulation controller design for fractional linear multi‐agent systems

Leader-Following Consensus of Stochastic Perturbed Multi-Agent Systems via Variable Impulsive Control and Comparison System Method

An Improved Spectral Clustering Algorithm Using Fast Dynamic Time Warping for Power Load Curve Analysis

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