Distributed Fault-Tolerant NE Seeking for Multiagent Games in Switching Networks

This paper investigates fault-tolerant distributed Nash equilibrium (NE) seeking for noncooperative games in high-order nonlinear MASs over switching communication networks. Motivated by networked signal processing applications, the considered setting addresses practical challenges including limited information exchange, unmeasurable states, and actuator faults. The proposed distributed NE seeking scheme realizes gradient-play iterations within a backstepping-embedded distributed control architecture. An adaptive distributed observer is constructed to enable each agent to perform local information processing and communication using only neighbor information. In addition, fuzzy logic systems are incorporated as adaptive nonlinear approximators to compensate for uncertainties and actuator faults. Finally, rigorous convergence properties are established via Lyapunov analysis, and numerical simulations validate the effectiveness of the proposed approach.