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An event-triggered consensus protocol for quantized second-order multi-agent systems with network delay and process

Na Lin1, Qiang Ling1

  • 1Department of Automation, University of Science and Technology of China, Hefei 230027, China.

ISA Transactions
|June 30, 2021
PubMed
Summary
This summary is machine-generated.

This study introduces an event-triggered control protocol for multi-agent systems, reducing communication bit rates for quantized consensus under network delays and noise. The protocol achieves consensus efficiently, saving up to 50% bandwidth compared to traditional methods.

Keywords:
Bit rateEvent-triggeringMulti-agent systemsNetwork delayProcess noiseQuantized consensus

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Area of Science:

  • Control Theory
  • Networked Systems
  • Robotics

Background:

  • Quantized consensus in discrete-time second-order multi-agent systems is challenging due to bounded process noise.
  • Digital networks with finite bit rates and bounded delays introduce quantization errors and degrade control performance.
  • Network delay complicates information extraction from received data packets.

Purpose of the Study:

  • To propose an event-triggered distributed control protocol for quantized consensus in multi-agent systems.
  • To address challenges posed by bounded process noise, finite bit rates, and network delays.
  • To reduce communication bit rates while ensuring asymptotic consensus.

Main Methods:

  • Development of an event-triggered distributed control protocol utilizing a dynamic encoding-decoding policy.
  • Analysis of system behavior under bounded process noise and network delay.
  • Comparison with periodic sampling control strategies.

Main Results:

  • The proposed event-triggered protocol achieves asymptotic consensus in noise-free systems at a lower bit rate than periodic sampling.
  • The protocol effectively utilizes information from event-triggering instants to improve bit rate efficiency.
  • Consensus is guaranteed even with bounded process noise without requiring a higher bit rate.
  • Numerical simulations demonstrate up to 50% bit rate savings compared to periodic sampling.

Conclusions:

  • The event-triggered protocol offers a more efficient approach to quantized consensus in multi-agent systems.
  • Significant communication bit rate reduction is achievable without compromising consensus performance.
  • The protocol is robust to bounded process noise and network delays.