Limbic System-Inspired Performance-Guaranteed Control for Nonlinear Multi-Agent Systems With Uncertainties

Scola, Ignácio Rubio; Carrillo, Luis Rodolfo García; Hespanha, João P.

doi:10.1109/tnnls.2021.3121232

Cited by 7 publications

(2 citation statements)

References 43 publications

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“…It is noteworthy that, in reality, systems frequently encounter nonlinear dynamics, sensor noise, non-ideal environmental variables, etc. Therefore, most practical multi-agent systems are nonlinear [14][15][16].…”

Section: Introductionmentioning

confidence: 99%

Leader-Following Consensus of Discrete-Time Nonlinear Multi-Agent Systems with Asymmetric Saturation Impulsive Control

Yuan,

Chen,

Tian

et al. 2024

Mathematics

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Impulsive control is an effective approach for coordinating multi-agent systems in practical environments due to its high robustness and low cost. However, impulsive control exhibits characteristics such as high amplitude and rapid variation, potentially presenting threats to the equipment. Additionally, multi-agent systems are constrained by input saturation due to limitations in physical controller structures and information-processing capabilities. These saturation constraints may be asymmetrical. Therefore, it is necessary to consider the saturation constraint when implementing impulsive control, as it can also mitigate the threats posed by the impulse to agents. This paper investigates the leader-following consensus for a class of discrete-time nonlinear multi-agent systems, proposing an asymmetric saturation impulsive control protocol to reduce the energy consumption and damage to the equipment. Regarding the handle of asymmetric saturation, an approach is proposed that eliminates the need for transformation from the asymmetric case to the symmetric case, which retains the saturation function and directly introduces the sector condition to deal with saturation nonlinearity. Furthermore, based on Lyapunov stability theory and matrix theory, sufficient conditions for leader-following consensus in discrete-time nonlinear multi-agent systems under asymmetric saturation impulsive control are established, and the admissible region of the system is estimated. Finally, numerical simulations are provided to verify the validity of the theoretical results.

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Section: Introductionmentioning

confidence: 99%

Leader-Following Consensus of Discrete-Time Nonlinear Multi-Agent Systems with Asymmetric Saturation Impulsive Control

Yuan,

Chen,

Tian

et al. 2024

Mathematics

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“…Liu [22] studied the problem of adaptive cooperative output regulation based on nonlinear multi-agent systems. In [23], the double integrator LISIC (DILISIC) was introduced for a nonlinear multi-agent system with uncertain high-order dynamics and external perturbations.…”

Section: Introductionmentioning

confidence: 99%

Distributed Multiple High-Speed Trains Consensus Control Based on Event-Triggered Mechanism

Zhang

Liu

2022

Symmetry

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This paper studies the consensus control problem of multiple high-speed trains with nonlinear running resistance based on a distributed event-triggered control protocol. Firstly, the multiple high-speed trains are established as a multi-agent model with a leader–follower. For the system whose leader has an unknown input, the effective state observers are introduced to observe the state of the train. Then, an observer-based event-triggered strategy is designed to determine the time when the train state is transmitted to the local controller and adjacent trains. The proposed control scheme is based on local information, and the solutions of the state observer and the gain symmetric matrices parameters of the distributed event-triggered control strategy are constructed in the form of linear matrix inequalities (LMI). Through the Lyapunov stability theory, sufficient conditions for the stable and safe operation of multiple high-speed trains systems are obtained. Finally, a simulation example is given to demonstrate the effectiveness of the proposed method.

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Bayesian machine learning framework for characterizing structural dependency, dynamics, and volatility of cryptocurrency market using potential field theory

C.V.,

Negi,

Aprem

2025

Expert Systems with Applications

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Limbic System-Inspired Performance-Guaranteed Control for Nonlinear Multi-Agent Systems With Uncertainties

Cited by 7 publications

References 43 publications

Leader-Following Consensus of Discrete-Time Nonlinear Multi-Agent Systems with Asymmetric Saturation Impulsive Control

Leader-Following Consensus of Discrete-Time Nonlinear Multi-Agent Systems with Asymmetric Saturation Impulsive Control

Distributed Multiple High-Speed Trains Consensus Control Based on Event-Triggered Mechanism

Bayesian machine learning framework for characterizing structural dependency, dynamics, and volatility of cryptocurrency market using potential field theory

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