Research on consensus of multi-agent systems with and without input saturation constraints

Qi, Duo; Hu, Junhua; Liang, Xiaolong; Zhang, Jiaqiang; Zhang, Zhihao

doi:10.23919/jsee.2021.000081

Cited by 15 publications

(3 citation statements)

References 8 publications

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“…A multivehicle longitudinal cooperative formation system is essentially a typical multiagent system (MAS), which can complete tasks that an individual cannot complete alone [3]. The goal of a MAS is to enable multiple intelligent subsystems to cooperate with each other and perform complex cooperative tasks.…”

Section: Introductionmentioning

confidence: 99%

Data‐driven consistent control with data compensation for a class of unknown nonlinear multiagent systems with constraints

Liu

et al. 2023

IET Control Theory & Appl

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To solve the problem of longitudinal cooperative formation driving control of multiple vehicles, a novel model‐free adaptive control algorithm with data compensation under constraint conditions (COM‐cMFAC) is proposed in this manuscript. In the COM‐cMFAC algorithm, the pseudo partial derivative (PPD), which is a time‐varying parameter, is used to linearize the nonlinear dynamics of the multivehicle cooperative system by using dynamic linearization technology. Then, a COM‐cMFAC controller is designed. For the case of data packet loss, the proposed controller uses a data compensation mechanism that estimates and compensates for the lost data through the data collected at the previous moment to perform packet loss control. Additionally, the controller considers the constrained input and output problems that will occur in the actual control process and imposes input and output constraints. The main advantage of the COM‐cMFAC algorithm is that the entire control process only needs the input and output data of the multivehicle cooperative system, and it also has a good control effect in the case of packet loss. The stability of the proposed method is verified through strict mathematical analysis, and its effectiveness is verified by semiphysical experiments based on a MATLAB/Simulink and Carsim platform connection environment.

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Section: Introductionmentioning

confidence: 99%

Data‐driven consistent control with data compensation for a class of unknown nonlinear multiagent systems with constraints

Liu

et al. 2023

IET Control Theory & Appl

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“…In recent years, networked systems (NSs) have attracted much attention due to their wide application in pattern recognition (Hoppensteadt and Izhikevich, 2000), image encryption (Wei et al, 2019), and so on. Consensus, as one of the basic and important properties of NSs, has attracted more and more researchers’ interests (Qi et al, 2021; Ren et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Consensus of impulsive coupled networked delay systems under edge-based attacks

Zhang,

Li,

Sun

2023

Transactions of the Institute of Measurement and Control

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This paper investigates the consensus of impulsive coupled networked delay systems (NDSs) under edge-based attacks. First, an edge-based attack model is established, which is asynchronous and can change the states of nodes. Next, according to the number of edges allowed to be attacked at a time instant, the edge-based attack is divided into two cases. For each case, the sufficient condition is given to guarantee the system consensus against the edge-based attacks. Then, by considering a special type of edge-based attacks on the NDSs with star topology, a less conservative consensus criterion is obtained. Finally, two numerical examples are given to verify the correctness of the obtained results.

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“…This can not only pass-through obstacles safely but also reduce energy consumption. Furthermore, another key issue of multiple UAVs is that the desired control inputs cannot be implemented owing to the external disturbance, actuator saturation, and failure (Liu et al, 2020 , 2022 ; Duo et al, 2021 ; Yang et al, 2021 ; Wang and Dong, 2022 ).…”

Section: Introductionmentioning

confidence: 99%

Performance-guaranteed distributed control for multiple plant protection UAVs with collision avoidance and a directed topology

et al. 2022

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The urgent requirement for improving the efficiency of agricultural plant protection operations has spurred considerable interest in multiple plant protection UAV systems. In this study, a performance-guaranteed distributed control scheme is developed in order to address the control of multiple plant protection UAV systems with collision avoidance and a directed topology. First, a novel concept called predetermined time performance function (PTPF) is proposed, such that the tracking error can converge to an arbitrary small preassigned region in finite time. Second, combined with the two-order filter for each UAV, the information estimation from the leader is generated. The distributed protocol avoids the use of an asymmetric Laplace matrix of a directed graph and solves the difficulty of control design. Furthermore, by introducing with a collision prediction mechanism, a repulsive force field is constructed between the dynamic obstacle and the UAV, in order to avoid the collision. Finally, it is rigorously proved that the consensus of the multiple plant protection UAV system can be achieved while guaranteeing the predetermined time performance. A numerical simulation is carried out to verify the effectiveness of the presented method, such that the multiple UAVs system can fulfill time-constrained plant protection tasks.

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Research on consensus of multi-agent systems with and without input saturation constraints

Cited by 15 publications

References 8 publications

Data‐driven consistent control with data compensation for a class of unknown nonlinear multiagent systems with constraints

Data‐driven consistent control with data compensation for a class of unknown nonlinear multiagent systems with constraints

Consensus of impulsive coupled networked delay systems under edge-based attacks

Performance-guaranteed distributed control for multiple plant protection UAVs with collision avoidance and a directed topology

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