Leader-following consensus of single-integrator multi-agent systems under noisy and delayed communication

Djaidja, Sabir; Wu, Qinghe

doi:10.1007/s12555-014-0262-6

Cited by 21 publications

(8 citation statements)

References 18 publications

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“…The topology is described with an undirected graph shown in Fig. 3 The state trajectories of the agents and the leader for different values of k 1 (8,16,22) are shown in Figs. 4-6.…”

Section: Numerical Examplesmentioning

confidence: 99%

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Leader-following consensus of discrete-time fractional-order multi-agent systems

Shahamatkhah

2018

Chinese Phys. B

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Leader-following consensus of fractional order multi-agent systems is investigated. The agents are considered as discrete-time fractional order integrators or fractional order double-integrators. Moreover, the interaction between the agents is described with an undirected communication graph with a fixed topology. It is shown that the leader-following consensus problem for the considered agents could be converted to the asymptotic stability analysis of a discrete-time fractional order system. Based on this idea, sufficient conditions to reach the leader-following consensus in terms of the controller parameters are extracted. This leads to an appropriate region in the controller parameters space. Numerical simulations are provided to show the performance of the proposed leader-following consensus approach.

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“…The topology is described with an undirected graph shown in Fig. 3 The state trajectories of the agents and the leader for different values of k 1 (8,16,22) are shown in Figs. 4-6.…”

Section: Numerical Examplesmentioning

confidence: 99%

“…In Ref. [16], a leader-following consensus control for first-order multi-agent systems in the presence of measurement noise and communication delays has been proposed. Consensus of secondorder discrete-time multi-agent systems with fixed topology has been addressed in Ref.…”

Section: Introductionmentioning

confidence: 99%

Leader-following consensus of discrete-time fractional-order multi-agent systems

Shahamatkhah

2018

Chinese Phys. B

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“…From the viewpoint of the current literature, leaderfollowing distributed consensus control mainly focuses on simple systems such as single and double integrator systems. Early work on the single integrator model [18]- [20] considered system states such as voltage or output power and it was concluded that consensus can be reached if the network is connected. The double integrator model [21]- [23] typically is considered to be a dynamic mechanical system, where the states are position and velocity.…”

Section: Introductionmentioning

confidence: 99%

Leader-following Consensus Control of a Distributed Linear Multi-agent System using a Sliding Mode Strategy

Zhang

Zhao

et al. 2020

2020 European Control Conference (ECC)

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A distributed leader-following consensus control framework is proposed for a linear system. The linear system is first transformed into a regular form. Then a linear sliding mode is designed to provide high robustness, and the corresponding consensus protocol is proposed in a fully distributed fashion. When matched disturbances are present, it can be demonstrated that the system states reach the sliding mode in finite time and consensus can be achieved asymptotically using Lyapunov theory and the invariant set theorem. Simulation results validate the effectiveness of the proposed algorithm.

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“…In [28], the leaderless consensus of the MAS with noise and time‐delay was studied under the assumption that the directed communication topology had a spanning tree, and an asymptotic unbiased mean square linear

χ

‐consensus was reached. Djaidja and Wu [29] studied the leaderless mean square consensus of the single‐integrator MAS with multiplicative measurement noises. Zhang et al .…”

Section: Introductionmentioning

confidence: 99%

p th moment consensus of multi‐agent systems with relative state‐dependent measurement noises and time delays

Zhou

2018

IET Control Theory & Applications

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Leader-following consensus of single-integrator multi-agent systems under noisy and delayed communication

Cited by 21 publications

References 18 publications

Leader-following consensus of discrete-time fractional-order multi-agent systems

Leader-following consensus of discrete-time fractional-order multi-agent systems

Leader-following Consensus Control of a Distributed Linear Multi-agent System using a Sliding Mode Strategy

p th moment consensus of multi‐agent systems with relative state‐dependent measurement noises and time delays

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