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Consensus Control of Saturated Multi-Agent Systems with Heterogeneous Asymmetric Saturation Constraints Under
Zhanxiu Wang1,2, Jikun Yang3, Hao Yang1
1School of Artificial Intelligence, Yancheng Teachers University, Yancheng 224002, China.
Sensors (Basel, Switzerland)
|March 28, 2026
Summary
This study shows distributed protocols achieve consensus in multi-agent systems despite varying saturation constraints. The consensus algorithm tolerates heterogeneous asymmetric saturation, proving its robustness.
Area of Science:
- Control Theory
- Networked Systems
- Systems Engineering
Background:
- Multi-agent systems (MAS) are crucial for distributed tasks.
- Saturation constraints in agents can degrade system performance.
- Heterogeneous and asymmetric constraints pose significant challenges to consensus.
Purpose of the Study:
- To investigate consensus control for continuous-time MAS with heterogeneous asymmetric saturation.
- To analyze the impact of directed switching topologies on consensus.
- To establish the robustness of consensus algorithms under complex saturation conditions.
Main Methods:
- Utilizing asymptotic stability theory.
- Applying the comparison principle for system analysis.
- Developing distributed control protocols for MAS.
Main Results:
- Conventional distributed protocols achieve consensus despite heterogeneous asymmetric saturation.
- The consensus algorithm demonstrates inherent tolerance to non-identical saturation levels.
- Theoretical results are validated through numerical simulations.
Conclusions:
- Consensus control is achievable in MAS with complex saturation constraints.
- The developed protocols are robust to variations in agent saturation.
- This research advances the understanding of MAS control under practical limitations.
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