Self-Learning Distributed MPC for Multirobot Systems with State-Dependent Uncertainties
Distributed model predictive control (DMPC) is an effective method for constrained cooperative control of multirobot systems(MRSs). However, conventional DMPC usually relies on known system models and periodic communication, which may lead to degraded performance and unnecessary resource consumption in the presence of...