Reinforced unscented Kalman filter for consensus achievement of uncertain multi‐agent systems subject to actuator faults

Publication date: 20 March 2024

Published in: International Journal of Robust and Nonlinear Control (Search for Journal in Brave)

zbMATH Keywords

state estimation Lyapunov stability reinforcement learning multi-agent systems fault detection and reconstruction

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Multi-agent systems (93A16) Consensus (93D50)

Cites Work

Stochastic stability of the unscented Kalman filter with intermittent observations
Distributed adaptive fault-tolerant control of uncertain multi-agent systems
Robust unknown input observer-based fault estimation of leader-follower linear multi-agent systems
Distributed consensus control for multi-agent systems using terminal sliding mode and Chebyshev neural networks
Stochastic stability of the discrete-time extended Kalman filter

This page was built for publication: Reinforced unscented Kalman filter for consensus achievement of uncertain multi‐agent systems subject to actuator faults