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Fault-tolerant properties of scale-free linear protocols for synchronization of homogeneous multi-agent systems

Anton A. Stoorvogel, Ali Saberi, Zhenwei Liu

TL;DR

This article establishes that the network decomposes into a number of basic bicomponents that achieves synchronization among all nodes in this basic bicomponent.

Abstract

Originally, protocols were designed for multi-agent systems (MAS) using information about the network which might not be available. Recently, there has been a focus on scale-free synchronization where the protocol is designed without any prior information about the network. As long as the network contains a directed spanning tree, a scale-free protocol guarantees that the network achieves synchronization. If there is no directed spanning tree then synchronization cannot be achieved. But what happens when these scale-free protocols are applied to such a network where the directed spanning tree no longer exists? This paper establishes that the network decomposes into a number of basic bicomponents which achieves synchronization among all nodes in this basic bicomponent. On the other hand, nodes which are not part of any basic bicomponent converge to a weighted average of the synchronized trajectories of the basic bicomponents. The weights are independent of the initial conditions and are independent of the designed protocol.

Fault-tolerant properties of scale-free linear protocols for synchronization of homogeneous multi-agent systems

TL;DR

This article establishes that the network decomposes into a number of basic bicomponents that achieves synchronization among all nodes in this basic bicomponent.

Abstract

Originally, protocols were designed for multi-agent systems (MAS) using information about the network which might not be available. Recently, there has been a focus on scale-free synchronization where the protocol is designed without any prior information about the network. As long as the network contains a directed spanning tree, a scale-free protocol guarantees that the network achieves synchronization. If there is no directed spanning tree then synchronization cannot be achieved. But what happens when these scale-free protocols are applied to such a network where the directed spanning tree no longer exists? This paper establishes that the network decomposes into a number of basic bicomponents which achieves synchronization among all nodes in this basic bicomponent. On the other hand, nodes which are not part of any basic bicomponent converge to a weighted average of the synchronized trajectories of the basic bicomponents. The weights are independent of the initial conditions and are independent of the designed protocol.
Paper Structure (12 sections, 8 theorems, 46 equations, 9 figures)

This paper contains 12 sections, 8 theorems, 46 equations, 9 figures.

Key Result

Theorem 1

The scale-free continuous-time state synchronization problem as formulated in Problem prob4 is solvable if the agent model eq1 is either asymptotically stable or satisfies the following conditions:

Figures (9)

  • Figure 1: A directed communication network and its bicomponents.
  • Figure 2: The 60-nodes communication network with spanning tree.
  • Figure 3: The communication network without spanning tree. The links are broken due to faults.
  • Figure 4: 30-node basic bicomponent for continuous-time MAS: disagreement dynamic among the agents and synchronized output trajectories.
  • Figure 5: 8-node basic bicomponent for continuous-time MAS: disagreement dynamic among the agents and synchronized output trajectories.
  • ...and 4 more figures

Theorems & Definitions (12)

  • Definition 1
  • Theorem 1
  • Theorem 2
  • Remark 1
  • Theorem 3
  • Theorem 4
  • Theorem 5
  • Theorem 6
  • Remark 2
  • Theorem 7
  • ...and 2 more