Fixed-time group consensus of second-order multi-agent systems based on event-triggered control

Wu, Xiaoshuai; Sun, Fenglan; Zhu, Wenwu; Kurths, Jürgen

doi:10.1088/1674-1056/acb9ee

Cited by 5 publications

(9 citation statements)

References 31 publications

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“…It is necessary to set control protocols to guide the agents achieve different states in a system, which is referred as group consensus of MASs. [23][24][25][26][27][28][29][30][31] In Reference 25, the group consensus for discrete-time MASs without second-order velocity information is investigated, of these, cooperative-competitive is considered between the agents in the system. Meanwhile, taking into account the effects of input delay, communication delay, and packet loss.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Consider the first-order MAS (1) consisting of ten agents. Select the initial position x(0) = (10,23,13,30,11,20,18,25,36,12) T of the agents.…”

Section: Group Consensus With Reference States Of the First-order Masmentioning

confidence: 99%

“…When multiple agents cooperate to complete tasks, due to the difference between the ultimate goal and the execution environment, or the requirement to decompose a task into multiple sub‐tasks, the goal of different agents in a system may be different. It is necessary to set control protocols to guide the agents achieve different states in a system, which is referred as group consensus of MASs 23‐31 . In Reference 25, the group consensus for discrete‐time MASs without second‐order velocity information is investigated, of these, cooperative‐competitive is considered between the agents in the system.…”

Section: Introductionmentioning

confidence: 99%

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Group consensus of multi‐agent systems with reference states via pinning control

Wu,

Sun,

Han

et al. 2023

Intl J Robust & Nonlinear

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This article investigates the group consensus via pinning control for continuous‐time first‐order and second‐order multi‐agent systems (MASs) with reference states. For the group consensus of first‐order MASs, the dependence between the agent's state and the control input is considered. For second‐order MASs, group consensus control without the velocity information of agents is considered. Instead, the virtual velocity estimation controller is designed. Meanwhile, for the designed control protocols, not only under fixed topology, but also under switching topology are considered. It is demonstrated that group consensus could be obtained under the proposed control protocols by using graph theory and stability theory. Finally, a series of numerical examples are provided to verify the control performance of the propounded control protocols.

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Section: Literature Reviewmentioning

confidence: 99%

“…Consider the first-order MAS (1) consisting of ten agents. Select the initial position x(0) = (10,23,13,30,11,20,18,25,36,12) T of the agents.…”

Section: Group Consensus With Reference States Of the First-order Masmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Group consensus of multi‐agent systems with reference states via pinning control

Wu,

Sun,

Han

et al. 2023

Intl J Robust & Nonlinear

Self Cite

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“…Many scholars have devoted themselves to exploring strategies to control rumor propagation. [33][34][35] Ke et al considered using non-smooth control functions to reflect the rebuttal of government and media to rumor propagation, and established a model of reaction-diffusion rumor propagation. [36] Askarizadeh et al proposed a soft rumor control model, in which people avoid the spread of rumors by consulting with trusted friends or reputable authorities.…”

Section: Introductionmentioning

confidence: 99%

An improved ISR-WV rumor propagation model based on multichannels with time delay and pulse vaccination

et al. 2023

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The rapid development of the Internet has broadened the channels of information dissemination, which makes rumors spread faster, more widely and cause more negative impact. In this paper, an improved ISR-WV rumor propagation model integrating multi-channels is proposed by considering the system time delay, and the influence of different propagation channels on the dynamic process is further analyzed. Moreover, the basic reproduction number R 0, rumor-free equilibrium, and rumor-prevailing equilibrium, as well as their stability, are deduced. Then, an optimal control problem with pulse vaccination is designed. Finally, the validity of the model and theoretical results are verified by numerical simulations and a practical application. The results show that the rumor propagation threshold R 0 is more sensitive to the propagation rate of the information base channel. The shorter the thinking time τ 1 required for the ignorant to react after obtaining the information, the larger the final propagation scale, under this condition, the time delay τ 2 generated by the spreader producing the video is negatively related to the final propagation scale; conversely, a longer τ 1 implies that people tend to be calmer, which can suppress the spread of rumors, under this condition, τ 2 has little effect on the final propagation scale. In addition, the results also prove that timely implementation of the pulse vaccination control strategy of popular science education can effectively control the rumor propagation and reduce its negative impact.

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“…In Refs. [17,18], an eventtriggered control (ETC) mechanism for consensus control was proposed by constructing combinations of measurement errors, which implies inter-agent communication only when a specific event is triggered. Dynamic event-triggered control (DETC) is a mechanism further develop by Girard et al in Ref.…”

Section: Introductionmentioning

confidence: 99%

Team-based fixed-time containment control for multi-agent systems with disturbances

Zhao 赵,

Wang 王,

Lai 赖

et al. 2023

Chinese Phys. B

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This paper investigates the fixed-time containment control (FCC) problem of multi-agent systems (MASs) under discontinuous communication. A saturation function is used in the controller to achieve the containment control in MASs. One difference from using a symbolic function is that it avoids the differential calculation process for discontinuous functions, which further ensures the continuity of the control input. Considering the discontinuous communication, a dynamic variable is constructed that is always non-negative between any two communications of the agent. Based on the designed variable, the dynamic event-triggered algorithm is proposed to achieve FCC, which can effectively reduce controller updates. In addition, we further design a new event-triggered algorithm to achieve FCC, called the team-trigger mechanism, which combines the self-triggering technique with the proposed dynamic event trigger mechanism. It has faster convergence time than the proposed dynamic event triggering technique and achieves the tradeoff between communication cost, convergence time and number of triggers in MASs. Finally, Zeno behavior is excluded and the validity of the proposed theory is confirmed by simulation.

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Fixed-time group consensus of second-order multi-agent systems based on event-triggered control

Cited by 5 publications

References 31 publications

Group consensus of multi‐agent systems with reference states via pinning control

Group consensus of multi‐agent systems with reference states via pinning control

An improved ISR-WV rumor propagation model based on multichannels with time delay and pulse vaccination

Team-based fixed-time containment control for multi-agent systems with disturbances

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