Data-driven global robust optimal output regulation of uncertain partially linear systems

摘要

In this paper, a data-driven control approach is developed by reinforcement learning ( RL ) to solve the global robust optimal output regulation problem ( GROORP ) of partially linear systems with both static uncertainties and nonlinear dynamic uncertaint