Guokuan Yu's research while affiliated with Guizhou Normal University and other places

Publications (5)

Article
High-precision and online remaining charging-discharging cycle (RCDC) prognosis are of great significance for lithium-ion batteries. The conventional method is usually based on whether the state-of-health (SOH) of capacity reaches the end-of-life (EoL) threshold. However, the most available prediction methods have two potential problems that need t...
Article
Self-supervised learning methods have been proved effective in the task of real-time stereo depth estimation with the requirement of lower memory space and less computational cost. In this paper, a light-weight adaptive network (LWANet) is proposed by combining the self-supervised learning method to perform online adaptive stereo depth estimation f...
Article
Road traffic accidents, especially those accidents with multiple-vehicle collision usually cause injuries and mortalities. Currently, studies on collision avoidance mainly focus on the control strategies for adjacent two vehicles or multiple vehicles in a single platoon direction. This paper proposes a bi-directional collision avoidance system for...
Article
Aiming at enhancing the vehicle comfort and handling performances, this paper concerns with the development of the vibration control method for the semi-active suspension systems installed with electro-hydraulic dampers. To reject the external disturbances induced by the irregular road profile, sliding mode was intensively investigated for vibratio...

Citations

... In [11], the third order polynomial distribution is also mentioned for lifespan prediction on different power equipment. Moreover, this selected function satisfies flexibility, monotonicity, smoothness, and continuity of health variation with time [24,25]. The polynomial function could be written as Equation (4): ...
... We have found several applications where depth data is used along RGB data, i.e. depth-depth adaptation, and depth-RGB-adaptation. [37] uses domain adaption to reconstruct the depth map without holes from an RGB-D input whose depth map has missing information caused by the depth sensor. [38] and [20] generate depth maps from a given stereo-image input. [39] reconstructs the depth map given only a monocular image and semantic map and [40] uses RGB-D data during training and RGB data during testing to reconstruct the depth map. ...
... Many scholars have solved the multi-objective optimization problems of ACC based on model predictive control algorithms. Compared with traditional LQR or fuzzy control algorithms, MPC significantly improves the control accuracy and energy-saving of ACC [20][21][22]. A bi-directional hierarchical adaptive cruise control method with reduced collision probability has been proposed in a MPC framework [23,24]. ...
... Sun [30] derived adaptive backstepping current control law to improve pitch-plane suspension performances. In order to improve tracking accuracy and alleviate chattering problems from traditional sliding mode control, an extreme learning machine is adopted to compensate un-modeled dynamics with unknown nonlinearity [31]. For the high-dimensional nonlinear problem of the actuator, our previous research [32] has presented a hierarchical control strategy to handle uncertainty and actuator nonlinearity with fixed bounded physical parameters. ...