… Development of supervisory control strategy for optimized fuel consumption of the compound
… Dynamic simulation and optimal control strategy for a parallel hybrid hydraulic excavator. …

… training data of each source domain. Then, the shapelets learning algorithm based on dynamic
… , the source domain data was optimized through the measurement discriminant structure, …

… perception, and control optimization were surveyed and analyzed… on dynamic team formation
of multirobots reinforcement … robot system based on reinforcement learning algorithm［J］. …

… used in controls and machine learning applications. Interval … in decision-making and machine
learning, then introduces basic … applications in controls and machine learning. Finally, it …

… established based on the dynamic performance and braking … the design interface, and the
animation rendering was used to directly display visually. Meanwhile, the memory optimization …

… The latest development in machine learning-based semantic segmentation methods en…
these findings, propose optimization strategies and recommendations for the development of blue…

… as well as to respond to dynamic environments. In this study, we … Next, we review related
control algorithms for the motions of … and imitation learning methods are the future development …