Abstract: This article proposes a novel neural-network-based robust adaptive synchronization and tracking control strategy for multimotor driving servo systems. By designing a hyperbolic tangent ...
Abstract: Although tracking control of servo mechanisms has been extensively studied, optimal tracking control of servo mechanisms via reinforcement learning (RL) is still a challenging problem, ...
Institute of Materials Science and Engineering, Washington University in St. Louis, St. Louis, Missouri 63130, United States ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results