Robust containment control of heterogeneous non‐linear multi‐agent systems via power series approach

Li, Shaobao; Zhang, Jie; Er, Meng Joo; Luo, Xiaoyuan; Yang, Zhenyu; Wang, Weining

doi:10.1049/iet-cta.2018.5385

Cited by 4 publications

(2 citation statements)

References 31 publications

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“…Active control theories are generally more effective than passive and semi‐active controllers in refraining the harmful response [3], including robust control method [4], sliding mode control strategy [5], and optimal control theory [6]. In the complex marine environment, however, external disturbances are not always periodic, accompanied by the inherited random characteristics of waves, currents, and winds [7].…”

Section: Introductionmentioning

confidence: 99%

Adaptive neural network H∞$H_\infty$ control for offshore platform with input delay and nonlinearity

Zhang,

Ma,

Wang

et al. 2023

IET Control Theory & Appl

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In this work, an adaptive learning robust controller is proposed to suppress the vibration of offshore platforms, which are subject to waves, winds, varying control delays and parametric perturbations. To realize nonlinear uncertainty approximation under the bounded performance, the controller incorporates both an online adaptive part and an offline fixed part. The adaptive part constructed by neural networks adjusts online, while the fixed part is obtained by regulating the performance. Importantly, adaptive updating strategy does not require accurate values or upper bounds for real‐time control delay or uncertainty. Several comparable experiments demonstrate the feasibility and effectiveness in vibration‐suppression of the designed adaptive controller in shallow/deep water. This scheme significantly reduces system response variations due to structural and hydrodynamic uncertainty, as well as additional random environmental forces caused by winds.

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Section: Introductionmentioning

confidence: 99%

Adaptive neural network H∞$H_\infty$ control for offshore platform with input delay and nonlinearity

Zhang,

Ma,

Wang

et al. 2023

IET Control Theory & Appl

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“…To the best of our knowledge, the existing researches on robust containment control of MASs [22][23][24] only consider parametric uncertainties in nonlinear heterogeneous dynamics described in special forms with locally Lipschitz conditions. Also, because of utilizing adaptive control in controller design, there exists some assumptions on the corresponding graphs which limits the range of communication graphs.…”

Section: Introductionmentioning

confidence: 99%

Robust containment control of heterogeneous multi‐agent systems with structured uncertainty and external disturbances

Atrianfar

Karimi

2021

Intl J Robust & Nonlinear

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This article considers the robust containment control problem of heterogeneous linear multi-agent systems subject to structured uncertainties and external disturbances. By introducing a new neighborhood error of follower agents, the containment control problem can be formulated into output regulation problem.By employing a distributed compensator and robust H ∞ control approach, sufficient conditions in terms of linear matrix inequalities are derived to ensure that all followers asymptotically converge to the convex hull spanned by the leaders with the prescribed H ∞ performance under fixed topology. A numerical example is provided to verify the effectiveness of the proposed method.

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Fault-Tolerant Containment Control for Linear Multi-Agent Systems: An Adaptive Output Regulation Approach

Zhang¹,

Ding²,

2019

IEEE Access

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This paper addresses the problem of fault-tolerant containment control (FTCC) for linear multi-agent systems (MASs) with process faults. First, distributed observers for followers are designed by utilizing their relative output estimation errors. Then, a new distributed adaptive FTCC law based upon the output regulation theory is proposed, where a distributed adaptive observer is implemented to estimate the synthesized information for leaders. It is shown that no matter whether there exist faults or not, all the followers can asymptotically move into a convex hull formed by the leaders. Finally, an example is given to illustrate the effectiveness of the designed distributed control law. INDEX TERMS Fault-tolerant containment control, multi-agent systems, process faults, output regulation.

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Robust containment control of heterogeneous non‐linear multi‐agent systems via power series approach

Cited by 4 publications

References 31 publications

Adaptive neural network H∞$H_\infty$ control for offshore platform with input delay and nonlinearity

Adaptive neural network H∞$H_\infty$ control for offshore platform with input delay and nonlinearity

Robust containment control of heterogeneous multi‐agent systems with structured uncertainty and external disturbances

Fault-Tolerant Containment Control for Linear Multi-Agent Systems: An Adaptive Output Regulation Approach

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