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High-Performance Consensus Control in Networked Systems With Limited Bandwidth Communication and Time-Varying
IEEE Transactions on Neural Networks and Learning Systems
|February 18, 2016
Summary
This study introduces novel event-triggered algorithms for multiagent systems to achieve average consensus with reduced communication rates. The protocol enables efficient information exchange using binary sequences, maintaining consensus performance.
Area of Science:
- Control Theory
- Networked Systems
- Distributed Computing
Background:
- Multiagent systems require efficient coordination under data rate and energy constraints.
- Existing encoder-decoder consensus protocols face challenges in reducing control input update rates without performance degradation.
Purpose of the Study:
- To develop a consensus protocol for discrete-time first-order multiagent systems operating over directed, time-varying digital networks.
- To address the challenge of limited communication data rates by enabling binary symbolic sequence exchange.
- To reduce the update rate of control inputs while maintaining consensus performance.
Main Methods:
- Proposed novel event-triggered dynamic encoding and decoding algorithms.
- Developed a scheme for selecting time-varying quantization levels for communication channels.
- Presented a consensus protocol based on the developed algorithms.
- Analyzed the relationship between system/network parameters and convergence rate.
Main Results:
- Achieved average consensus in directed and time-varying digital networks.
- Demonstrated that convergence rate depends on network scale, quantization levels, system parameter, and network structure.
- Showcased exponential convergence rate using only 1-bit information exchange per time step between adjacent agents.
Conclusions:
- The proposed event-triggered protocol effectively reduces communication requirements for multiagent systems.
- Average consensus can be achieved with high efficiency even with minimal information exchange (1-bit).
- The findings are applicable to coordinated control in networked systems with bandwidth limitations.
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