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A robust quantized consensus protocol for discrete-time multi-agent systems with additive noise.

Jiayu Chen1, Qiang Ling1

  • 1Department of Automation, University of Science and Technology of China, Hefei, China.

ISA Transactions
|November 27, 2018
PubMed
Summary
This summary is machine-generated.

This study introduces a robust consensus protocol for discrete-time integrator agents with communication limits. It achieves approximate consensus even with a single bit per time step and is resilient to network failures.

Keywords:
Additive noiseInput saturationMulti-agent systemQuantized consensus

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Area of Science:

  • Control Systems Engineering
  • Networked Systems

Background:

  • Achieving consensus in multi-agent systems is crucial for coordinated behavior.
  • Communication constraints, such as finite bit rates and noise, pose significant challenges.

Purpose of the Study:

  • To develop a novel consensus protocol for discrete-time integrator agents under communication constraints.
  • To ensure approximate consensus is achievable with minimal information and high robustness.

Main Methods:

  • Dynamic encoding and decoding algorithms for quantized state transmission.
  • Local control input computation with known input saturation bounds.
  • Analysis of protocol performance under finite bit rates and additive process noise.

Main Results:

  • Approximate consensus is guaranteed at any finite bit rate, including as low as one bit per time step.
  • The protocol is robust to communication link failures and node departures.
  • Additive process noise does not necessitate an increased bit rate for consensus.

Conclusions:

  • The proposed protocol effectively achieves approximate consensus in discrete-time multi-agent systems with communication constraints.
  • The protocol demonstrates enhanced robustness and requires less network information compared to prior methods.
  • The findings are validated through simulations, confirming the protocol's practical applicability.