Leader-following consensus of multi-agent systems via novel sampled-data event-triggered control

Zhao, Can; Liu, Xinzhi; Zhong, Shouming; Shi, Kaibo; Liao, Daixi; Zhong, Qishui

doi:10.1016/j.amc.2020.125850

Cited by 15 publications

(8 citation statements)

References 29 publications

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“…The critical task is to design a distributed protocol only using the local information to drive each of agents reach an agreement on certain global interests. Leader–following consensus implies that all agents follow a leader, while leaderless‐following consensus represents that agents approach to the agreement of all their states without objective node 11 …”

Section: Introductionmentioning

confidence: 99%

“…Leader-following consensus implies that all agents follow a leader, while leaderless-following consensus represents that agents approach to the agreement of all their states without objective node. 11 Generally speaking, there are roughly two types of communicating topologies among agents, that is, the fixed topologies and the switching topologies. The fixed topologies can model the stationary and reliable communicating network where multiagent systems operating in, which the communicating paths among agents maintain unchanged during the working process.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Adaptive mean‐square consensus of heterogeneous multiagent systems with stochastic switching topologies

Huang,

Tu,

Liu

et al. 2023

Intl J Robust & Nonlinear

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The leader–following consensus of linear heterogeneous multiagent systems is investigated in this paper. To comply with the most practical scenario, the communicating topologies among agents are assumed to switch stochastically and driven by a continuous‐time discrete‐state Markov process, whose state space corresponds to all the possible topologies. A novel distributed adaptive compensator is designed for the followers to reconstruct the exogenous signals without knowing the Laplacian matrix who is regarded as a global information, and sufficient conditions are given to ensure the compensator converges to the dynamic of the leader asymptotically in the mean square sense. Then, based on the compensator, we solved the consensus problem both by distributed state and measurement output feedback control schemes under output regulation framework, which allow followers to have nonidentical state dimensions. Finally, the theoretical results are demonstrated by a numerical example.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Adaptive mean‐square consensus of heterogeneous multiagent systems with stochastic switching topologies

Huang,

Tu,

Liu

et al. 2023

Intl J Robust & Nonlinear

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“…Zhang et al (2021) discussed the MASs containment control problem by means of two kinds of distributed event-triggered mechanisms, in which the event-triggered control protocols are the state feedback control law and the dynamic output feedback control protocol. Combining the sampling data skill, event-triggered scheme, and impulsive protocol, Zhao et al (2021) proposed an event-triggered controller based on sampling data for MASs. Li et al (2021a) developed a time-varying formation control protocol under event-triggered scheme to eliminate continuous communication, further reducing unnecessary computational cost successfully.…”

Section: Introductionmentioning

confidence: 99%

Command-filtered adaptive containment control of fractional-order multi-agent systems via event-triggered mechanism

Chen

Yuan

2022

Transactions of the Institute of Measurement and Control

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In this paper, the containment control problem of a class of fractional-order nonlinear multi-agent systems is studied, in which the multi-agent system contains unmeasured states and system nonlinearity. An adaptive neural network backstepping controller combined with event-triggered mechanism is proposed to ensure all followers can converge to the convex hull spanned by the leaders. The command filter is introduced into the proposed fractional-order control system to obtain fractional derivatives for virtual control functions continuously and avoid “explosion of complexity.” From the Lyapunov stability theory, all the signals can remain semi-global uniformly ultimately bounded in the closed-loop system. Numerical example and simulation results confirm the feasibility of the proposed control method.

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“…As a result, the considerable amount of works addressed the stabilization and synchronization problem of dynamical systems with input delays in the literatures. [24][25][26][27][28] In particular, the Smith predictor (SP)-based control strategy have procured a greater attention among research communities for various dynamical systems with input delays. [29][30][31] Although, it cannot achieve productive performances ahead the time-varying input delays.…”

Section: Introductionmentioning

confidence: 99%

“…Moreover, it is a very general issue and at the same time, provoking technical challenges in the real‐time applicability. As a result, the considerable amount of works addressed the stabilization and synchronization problem of dynamical systems with input delays in the literatures 24‐28 . In particular, the Smith predictor (SP)‐based control strategy have procured a greater attention among research communities for various dynamical systems with input delays 29‐31 .…”

Section: Introductionmentioning

confidence: 99%

Disturbance estimation and synchronization control design for nonlinear complex dynamical networks with input delays

Sakthivel

Harshavarthini

Kwon

2022

Intl J Robust & Nonlinear

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The synchronization problem of complex dynamical networks (CDNs) with nonlinearities, uncertainties, time-varying input delays and disturbances is investigated in this article. The key objective of this work is to estimate both the matched and mismatched disturbance signals, which is accomplished by making use of improved-equivalent-input-disturbance estimator (IEIDE) technique. Subsequently, the impact of time-delays in control input can be effectively handled by means of extended Smith predictor (ESP) approach. To be precise, an unified dynamic output feedback control protocol is developed for dealing the disturbances and input delays by combining IEIDE and ESP strategy for nonlinear CDNs. Moreover, Lyapunov stability theory is utilized for the resultant closed-loop system to deduce the linear matrix inequality (LMI)-based sufficient stability conditions, which ensure the asymptotic synchronization of the considered system. In addition, the unpredictable disturbance signals are estimated with high precision based on the proposed control design. More precisely, the desired gain matrices are obtained by solving the LMI-based conditions. In the final analysis, the simulation results of the Lur'e system are provided to examine the practicability and efficacy of the developed control strategy.

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Leader-following consensus of multi-agent systems via novel sampled-data event-triggered control

Cited by 15 publications

References 29 publications

Adaptive mean‐square consensus of heterogeneous multiagent systems with stochastic switching topologies

Adaptive mean‐square consensus of heterogeneous multiagent systems with stochastic switching topologies

Command-filtered adaptive containment control of fractional-order multi-agent systems via event-triggered mechanism

Disturbance estimation and synchronization control design for nonlinear complex dynamical networks with input delays

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