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Adaptive Dynamic Event-Triggered Fault-Tolerant Consensus for Nonlinear Multiagent Systems With Directed/Undirected
IEEE Transactions on Cybernetics
|March 11, 2022
Summary
This study introduces a novel dynamic adaptive event-triggered mechanism for fault-tolerant consensus in nonlinear multiagent systems (MASs), ensuring reliable control without Zeno behavior.
Area of Science:
- Control Theory
- Networked Systems
- Robotics
Background:
- Achieving fault-tolerant consensus in nonlinear multiagent systems (MASs) is crucial for reliable distributed operations.
- Existing event-triggered mechanisms can be further optimized for efficiency and robustness.
Purpose of the Study:
- To develop a novel dynamic adaptive event-triggered mechanism (DAETM) for fault-tolerant consensus in nonlinear MASs.
- To design a distributed dynamic adaptive event-triggered fault-tolerant controller (DDAETFTC) to enhance system performance and reliability.
Main Methods:
- A general dynamic adaptive event-triggered mechanism (DAETM) was proposed, improving upon existing static and dynamic approaches.
- A new distributed dynamic adaptive event-triggered fault-tolerant controller (DDAETFTC) was designed for nonlinear MASs.
- Criteria were derived to guarantee asymptotic consensus for both directed and undirected networks.
Main Results:
- The proposed DDAETFTC ensures asymptotic consensus for nonlinear MASs under both directed and undirected network topologies.
- The developed DAETM prevents Zeno behavior, ensuring practical implementation.
- The results are applicable to linear MASs as well.
Conclusions:
- The novel DAETM and DDAETFTC provide an effective solution for fault-tolerant consensus in nonlinear MASs.
- The proposed control strategy enhances system reliability and avoids Zeno behavior.
- This work contributes to the advancement of robust control for distributed systems.
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