A Performance Recovery Approach for Multiagent Systems With Actuator Faults in Noncooperative Games
- Resource Type
- Periodical
- Authors
- Wang, H.; Luo, H.; Jiang, Y.; Kaynak, O.
- Source
- IEEE Transactions on Industrial Informatics IEEE Trans. Ind. Inf. Industrial Informatics, IEEE Transactions on. 20(5):7853-7861 May, 2024
- Subject
- Power, Energy and Industry Applications
Signal Processing and Analysis
Computing and Processing
Communication, Networking and Broadcast Technologies
Optimization
Actuators
Games
Linear programming
Heuristic algorithms
Symmetric matrices
Multi-agent systems
Multiagent systems (MASs)
noncooperative games
performance recovery
plug-and-play (PnP)
- Language
- ISSN
- 1551-3203
1941-0050
This article proposes a distributed performance recovery method for multiagent systems with actuator faults in noncooperative games. The local agent (player) can only obtain the policy information of neighboring agents through the communication network. The strategies of nonneighbors in the cost function are unknown, and a leader–follower consensus algorithm is introduced to estimate nonneighbors' strategy. When the actuator faults occur in any agents and lead to performance degradation, i.e., the agents' strategy is biased from its optimal strategy. A distributed optimization control method is proposed to recover performance without changing the original control scheme. An observer-based residual feedback plug-and-play optimization method is used to ensure that the strategies of all agents can still converge to the optimal strategy (or close to the optimal strategy). Numerical case studies are applied to demonstrate the performance and effectiveness of the proposed method.