Input-to-state Consensus of Nonlinear Positive Multi-agent Systems Under State Feedback and Impulsive Control

Xue, Yiqing; Zhao, Ping

doi:10.1007/s12555-021-1069-x

Cited by 4 publications

(1 citation statement)

References 28 publications

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“…In this section, we provide an overview of relevant literature that addresses various aspects of consensus control in different settings. However, Xue and Zhao [41] introduced the concept of Input-to-State Consensus (ISC) for nonlinear positive multi-agent systems (MAS) under state feedback and impulsive control. Their work leverages the max-separable input-to-state stability (ISS) Lyapunov function method to establish sufficient conditions for ISC, which has important implications for controlling systems with non-negative constant leaders.…”

Section: Literature Reviewmentioning

confidence: 99%

Investigating Nonlinear Consensus Interaction in Multi-Agent Systems: Exploring Symmetry and Asymmetry

Abdulghafor

2024

IEEE Access

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This research introduces exponential quadratic stochastic consensus (EQSC), a novel approach to achieving consensus in multi-agent systems (MAS) under undirected graph topology. EQSC combines symmetric and asymmetric nonlinear interactions, leveraging quadratic random factors and matrix theories. The proposed method controls nonlinear redundancy within MAS, aiming for convergence through simplified calculations compared to linear and nonlinear consensus models. Our findings demonstrate that EQSC achieves consensus more rapidly than other models and is effective in communication scenarios where alternative models may fail. Theoretical analysis and simulations validate the effectiveness of EQSC in fostering consensus within MAS.INDEX TERMS EQSC, MAS, consensus.

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Section: Literature Reviewmentioning

confidence: 99%