Leader-following consensus of multi-agent system with a smart leader

Ma, Zongyuan; Liu, Zhongxin; Chen, Zengqiang

doi:10.1016/j.neucom.2016.06.042

Cited by 37 publications

(3 citation statements)

References 29 publications

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“…To track such an active leader, the state‐estimation rule and decentralised controller are designed based on neighbour agents' information. Different from [5], where the leader is not restricted by the other follower agents, Ma et al investigate LDRF‐consensus of MASs with a smart leader dependent of its neighbouring followers' position information in [6]. Assuming the communication topology to satisfy directed connectivity with a leader as a globally reachable node, the LDRF‐consensus protocol with heterogeneous input time‐delays is designed by the frequency domain method in [7].…”

Section: Introductionmentioning

confidence: 99%

Leader–following consensus problem of networked multi‐agent systems under switching topologies and communication constraints

Tan

Dong

et al. 2020

IET Control Theory & Appl

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The problem of leader–following consensus is investigated for heterogeneous discrete‐time linear networked multi‐agent systems with data packet losses and network delays. Two kinds of networked protocols are presented to derive the states of followers to reach an agreement on leader's state under the switching topologies, in the meanwhile, the asymptotic stability of all agents are guaranteed. Due to unavailable agents' states and communication constraints, the networked predictive control method is used to compensate network delays and data packet losses actively. Sufficient criteria of leader–following consensus and asymptomatic stability are obtained when at least one follower is connected to the leader by a directed edge. The simulation example is presented to illustrate that states of followers can track leader's state, and all agents' states also asymptotically converge to the equilibrium under the proposed theoretical results.

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Section: Introductionmentioning

confidence: 99%

Leader–following consensus problem of networked multi‐agent systems under switching topologies and communication constraints

Tan

Dong

et al. 2020

IET Control Theory & Appl

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“…In recent decades, studying multi-agent control has received more attention because of their enormous system applicability [1,5,18,22,32]. In many different articles, a variety of control objectives are specified and studied for multi-agent systems [6,10,11,19,21,25,37,38,41] that among them, the consensus approach has gained more publicity because of its applicability [40,45]. Consensus refers to a group of agents which reach a state agreement based upon local information exchange.…”

Section: Introductionmentioning

confidence: 99%

Finite-Time Consensus Using an Adaptive Terminal Sliding Mode Control Subjected to Input Saturation

Ren¹,

Huang²,

Mirabdollahi

2020

ITC

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In this paper, finite-time consensus of double-integrator multi-agent systems is investigated. A new adaptive-terminal sliding mode control is proposed to satisfy the goal within a finite time by considering disturbances and input saturation. The problem is solved for two cases. In the first case, the agents are subjected to disturbances with known upper bounds and input saturation parameters. For the case, the control inputs are designed based on a terminal sliding mode technique to achieve the consensus aim within the finite time as a summation of settling and reaching times. Then, a fast terminal sliding mode control is applied and the control inputs are modified to reduce the high dependency of reaching times to initial speeds. In the second case, the upper disturbance bounds are unknown. To handle this problem, the control laws are adopted by an adaptive-terminal sliding mode method. The upper bounds of disturbances are estimated in the finite time. In both cases, the maximum control efforts are adjusted to always be less than the saturation boundary by optional tuning parameters. The proposed methods efficiency is verified by numerical simulations.

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“…In reality, introduction of a leader for multi-agent systems can broaden the applications to ensure that all agents track the leader’s trajectory. For multi-agent systems, there also have been many researches on the leader-following consensus (Cui et al, 2016; Gao et al, 2015; Ma et al, 2016; Wang et al, 2014). When the multi-agent systems have multiple leaders, containment control is designed to drive all followers into a convex hull formed by the leaders.…”

Section: Introductionmentioning

confidence: 99%

Leader-following H∞ consensus of discrete-time nonlinear multi-agent systems based upon output feedback control

Liang

Liu

Chen

2019

Transactions of the Institute of Measurement and Control

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In this paper, the leader-following [Formula: see text] consensus problem for discrete-time nonlinear multi-agent systems with delay and parameter uncertainty is investigated, with the objective of designing an output feedback protocol such that the multi-agent system achieves leader-following consensus and has a prescribed [Formula: see text] performance level. By model transforming, the leader-following consensus control problem is converted into robust [Formula: see text] control problem. Based on the Lyapunov function technology and the linear matrix inequality method, some new sufficient conditions are derived to guarantee the consensus of discrete-time nonlinear multi-agent systems. The feedback gain matrix and the optimal [Formula: see text] performance index are obtained in terms of linear matrix inequalities. Finally, numerical examples are provided to illustrate the effectiveness of the theoretical results.

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Leader-following consensus of multi-agent system with a smart leader

Cited by 37 publications

References 29 publications

Leader–following consensus problem of networked multi‐agent systems under switching topologies and communication constraints

Leader–following consensus problem of networked multi‐agent systems under switching topologies and communication constraints

Finite-Time Consensus Using an Adaptive Terminal Sliding Mode Control Subjected to Input Saturation

Leader-following H∞ consensus of discrete-time nonlinear multi-agent systems based upon output feedback control

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