In this paper, we introduce a nonlinear time-varying coupling law, which can be designed in a fully decentralized manner and achieves approximate synchronization with arbitrary precision, under only mild assumptions on the individual vector fields and the underlying (undirected) graph structure. The proposed coupling law is motivated by the so-called funnel control method studied in adaptive control under the observation that arbitrary precision synchronization can be achieved for heterogeneous multi-agent systems by a high-gain coupling; consequently we call our novel synchronization method ‘(node-wise) funnel coupling.’ By adjusting the conventional proof technique in the funnel control study, we are even able to obtain asymptotic synchro...
Diffusively coupled networks, in which different components of a network adjust their behavior accor...
This work provides a multi-agent extension of output-feedback model reference adaptive control (MRAC...
In this chapter we discuss a novel decentralized adaptive strategy to synchronize complex networks. ...
In this paper, we introduce a nonlinear time-varying coupling law, which can be designed in a fully ...
In this paper, we introduce a nonlinear time-varying coupling law, which can be designed in a fully ...
In this paper, we introduce a nonlinear time-varying coupling law, which can be designed in a fully ...
International audienceWhen a group of heterogeneous node dynamics are diffusively coupled with a hig...
Practical synchronization of the heterogeneous multi-agent system is studied in this paper. In parti...
This work deals with state synchronization of heterogeneous linear agents with unknown dynamics. The...
International audienceThis work deals with state synchronization of heterogeneous linear agents with...
A challenging task in synchronization of multi-agent systems is steering the network towards a coher...
International audienceIn this work, we propose an emergent dynamics based tool to approximate the sy...
In this thesis, we investigate linearly coupled dynamic networks made up of identical oscillators. W...
The Authors The behavior of heterogeneous multi-agent systems is studied when the coupling matrices ...
A new approach to distributed consensus optimization is studied in this paper. The cost function to ...
Diffusively coupled networks, in which different components of a network adjust their behavior accor...
This work provides a multi-agent extension of output-feedback model reference adaptive control (MRAC...
In this chapter we discuss a novel decentralized adaptive strategy to synchronize complex networks. ...
In this paper, we introduce a nonlinear time-varying coupling law, which can be designed in a fully ...
In this paper, we introduce a nonlinear time-varying coupling law, which can be designed in a fully ...
In this paper, we introduce a nonlinear time-varying coupling law, which can be designed in a fully ...
International audienceWhen a group of heterogeneous node dynamics are diffusively coupled with a hig...
Practical synchronization of the heterogeneous multi-agent system is studied in this paper. In parti...
This work deals with state synchronization of heterogeneous linear agents with unknown dynamics. The...
International audienceThis work deals with state synchronization of heterogeneous linear agents with...
A challenging task in synchronization of multi-agent systems is steering the network towards a coher...
International audienceIn this work, we propose an emergent dynamics based tool to approximate the sy...
In this thesis, we investigate linearly coupled dynamic networks made up of identical oscillators. W...
The Authors The behavior of heterogeneous multi-agent systems is studied when the coupling matrices ...
A new approach to distributed consensus optimization is studied in this paper. The cost function to ...
Diffusively coupled networks, in which different components of a network adjust their behavior accor...
This work provides a multi-agent extension of output-feedback model reference adaptive control (MRAC...
In this chapter we discuss a novel decentralized adaptive strategy to synchronize complex networks. ...