supported in part by the National Science and Technology Major Project(2021ZD0112302);the National Natural Science Foundation of China(62222301,61890930-5,62021003)。
This article develops a novel data-driven safe Q-learning method to design the safe optimal controller which can guarantee constrained states of nonlinear systems always stay in the safe region while providing an opti...
National Natural Science Foundation of China(Nos.62173303 and 62273307);Natural Science Foundation of Zhejiang Province(No.LQ24F030023)。
A distributed model predictive control(DMPC)method based on robust control barrier function(RCBF)is developed to achieve the safe formation target of multi-autonomous mobile robot systems in an uncertain disturbed env...