Ronghua Zhang

Receding-horizon neuro-fuzzy reinforcement learning with experience replay for containment control of multi-agent systems

Containment control for multi-agent systems (MAS) under disturbances is an important research topic. Although numerous containment control methods have been proposed, learning-based optimal control approaches for MAS still suffer from the drawbacks of low policy interpretability and poor convergence efficiency. In this...