Virtual leader-follower synchronization controller design for distributed parameter multi-agent systems with time-varying disturbances

Zheng, Jiangtao; Zong, Xiju; Ge, Hao; Zheng, Zeyang; Makuwatsine, Munashe Cane

doi:10.1016/j.neucom.2021.04.025

Cited by 5 publications

(2 citation statements)

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“…Moreover, this paper further concerned with the optimal control design problem and the optimization gain is chosen by minimizing an appropriate performance function. Compared the existing results, 6,7,10‐12 the selection of constant edge‐dependent synchronization gains in this paper can minimize the cost of the controller.…”

Section: Resultsmentioning

confidence: 91%

“…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: Resultsmentioning

confidence: 91%

Section: Introductionmentioning

confidence: 99%