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The HoneyComb Paradigm for Research on Collective Human Behavior
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Observer-based quasi-bipartite consensus cloud control for multi-agent systems with stochastic communication

Chong Tan1, Shiliu Han2, Jun Hu3

  • 1Department of Mathematics, Harbin University of Science and Technology, Harbin 150080, China; School of Automation, Harbin University of Science and Technology, Harbin 150080, Heilongjiang Province, China; National Key Lab of Autonomous Intelligent Unmanned Systems, Beijing Institute of Technology, Beijing 100081, China.

ISA Transactions
|March 29, 2026
PubMed
Summary
This summary is machine-generated.

This study introduces quasi-bipartite consensus (QBC) for stochastic networked multi-agent systems (S-NMASs) using observer-based cloud control. Novel methods ensure system consensus despite noise and communication limits.

Keywords:
Cloud-based controlDynamic event-triggered mechanismNetworked multi-agent systemsQuasi-bipartite consensusStochastic communication protocol

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Area of Science:

  • Control Systems Engineering
  • Networked Systems
  • Stochastic Systems

Background:

  • Bipartite consensus is crucial for networked multi-agent systems (NMASs) with cooperative and antagonistic interactions.
  • Stochasticity, noise, and communication constraints challenge consensus achievement in discrete-time systems.

Purpose of the Study:

  • To develop a robust bipartite consensus control strategy for discrete-time stochastic NMASs (S-NMASs).
  • To introduce and analyze a new concept of quasi-bipartite consensus (QBC) in a probabilistic framework.
  • To design an observer-based cloud controller (CC) incorporating a dynamic event-triggered mechanism (DETM) and stochastic communication protocol (SCP).

Main Methods:

  • Application of a stochastic communication protocol (SCP) and a dynamic event-triggered mechanism (DETM) to manage network bandwidth.
  • Development of switched Lyapunov functions and stochastic analysis to derive consensus conditions.
  • Utilizing linear matrix inequalities (LMIs) for explicit computation of controller and observer gains.

Main Results:

  • Sufficient conditions for achieving quasi-bipartite consensus (QBC) are established, even with unknown SCP transition probabilities.
  • Explicit formulas for cloud controller (CC) and observer gains are derived.
  • The proposed DETM and SCP significantly enhance control performance and bandwidth efficiency.

Conclusions:

  • The study successfully demonstrates the achievement of QBC in S-NMASs under challenging conditions.
  • The proposed observer-based CC with DETM and SCP offers an effective solution for bipartite consensus control.
  • Simulation results validate the theoretical framework and the practical advantages of the developed methods.