Bipartite Tracking of Linear Multi-Agent Systems Under Actuator Saturation With Relative Output Feedback

Bhowmick, Sourav; Panja, Surajit

doi:10.1109/tcsii.2020.2989198

Cited by 12 publications

(1 citation statement)

References 32 publications

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“…The most straightforward idea to overcome the above drawback is to construct an observer for each agent to online estimate their full state information, which has been well realized by many researchers in the field (e.g., [18], [27]- [30], [45]). However, the state-observer-based method has its inherent limitations in saturated MAS consensus control designs.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Relative Output-Feedback Consensus for Multi-Agent Systems Subject to Actuator Saturation

Huang

Yuan

2020

IEEE Access

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This paper deals with the problem of leaderless consensus control for a class of nonintrospective linear multi-agent systems (MASs) subject to input saturation and external disturbances. A novel dynamic relative output-feedback saturated consensus control protocol is proposed, which utilizes not only relative system outputs but also relative controller states from neighboring agents for distributed feedback control. With this new controller structure, the associated control synthesis conditions that guarantee optimal disturbance attenuation performance are fully characterized as linear matrix inequalities (LMIs) using a complete form of Lyapunov function matrix, which can be solved efficiently via convex optimization. The proposed approach unifies the designs for both continuous-time and discrete-time MASs. Two application examples are used to demonstrate effectiveness and usefulness of the proposed results.

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Section: Introductionmentioning

confidence: 99%

Dynamic Relative Output-Feedback Consensus for Multi-Agent Systems Subject to Actuator Saturation

Huang

Yuan

2020

IEEE Access

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Bipartite tracking for Euler–Lagrange systems via prescribed‐time hierarchical control based on the matrix‐weighted signed digraphs

Gu,

Han,

Xiao

et al. 2024

Intl J Robust & Nonlinear

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The goal of this article is to investigate the bipartite tracking control problem using a prescribed‐time convergence method for Euler–Lagrange systems (ELSs) with external disturbances. Agent interactions are represented by a matrix‐weighted signed directed graph. There are not only cooperative but also adversarial interactions. An essential component of the system, the prescribed‐time hierarchical control (PTHC) algorithm, including a more general time‐varying function, is newly developed to guarantee that all agents converge to the same leader state but with opposite signs within a prescribed time. The salient feature of the introduced method lies in the fact that the convergence time of the control objective can be prespecified by the user. The state transformation, the property of the matrix‐weighted Laplacian, and the generalized Lyapunov stability argument are employed to theoretically validate the proposed algorithms. Finally, the effectiveness of the algorithm is confirmed through the execution of numerical examples.

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Fixed-time and predefined-time group-bipartite consensus for uncertain networked Euler-Lagrange systems

Peng,

Ji,

Guo

et al. 2025

Information Sciences

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Bipartite Tracking of Linear Multi-Agent Systems Under Actuator Saturation With Relative Output Feedback

Cited by 12 publications

References 32 publications

Dynamic Relative Output-Feedback Consensus for Multi-Agent Systems Subject to Actuator Saturation

Dynamic Relative Output-Feedback Consensus for Multi-Agent Systems Subject to Actuator Saturation

Bipartite tracking for Euler–Lagrange systems via prescribed‐time hierarchical control based on the matrix‐weighted signed digraphs

Fixed-time and predefined-time group-bipartite consensus for uncertain networked Euler-Lagrange systems

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