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Event-triggered quantized consensus control for multi-agent systems with limited communication bandwidth
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DOI：10.1007/s11071-026-12894-x.png)
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Abstract
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This paper investigates an event-triggered quantized consensus control method for strict-feedback multi-agent systems. The systems are subject to external disturbances. Only the first state is measurable. Extended state observers based controller is employed to estimate the other states and disturbances. To effectively conserve communication resources, an event-triggered strategy is adopted to dynamically regulate the timing of data transmission, significantly reducing the communication frequency. Moreover, a dynamic quantizer is employed to quantify the system’s states and an encoder–decoder structure is designed to transmit data, which reduces the communication word length to a finite number of bits. Theoretical analysis proves that the multi-agent system can reach consensus within a specified maximum quantization level while the communication graph contains a directed spanning tree. Simulations and experiments are conducted to validate the proposed method, demonstrating its ability to significantly reduce the amount of transmitted data.
Keywords:
Dynamic quantization
Event-triggered control
Encoder–decoder structure
Multi-agent systems
Quantized consensus
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6
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1.4W
Citations:
4.1W
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