Kongzhi yu Juece/Control and Decision (ISSN:1001-0920) is a monthly peer-reviewed scopus indexed journal originally founded in 1986. It is sponsored by the Ministry of Education, china and Northeastern University, china. Kongzhi yu Juece/Control and Decision (ISSN:1001-0920) has always adhered to the correct purpose of running the journal, and has been committed to gathering and disseminating excellent academic achievements, inspiring technological innovation, and promoting the development of disciplines in my country.Aiming at major national needs and international frontiers, this journal has published a large number of original and high-level research result. The journal was selected into the "China Science and Technology Journal Excellence Action Plan Project" in December 2019.In the future, it will strive to build an open innovation, collaborative integration.
Industrial robot grasping includes grasping detection, trajectory planning, and control execution. It is challenging for industrial robots to grasp as dexterously as human arms. In traditional industrial robot teaching programming, predetermined control parameters and the position and posture of grasping targets must be fixed. The operation can do simple tasks, but its flexibility is too poor. 3D visual task requires the visual system to have the ability to understand the six-degree-of-freedom pose information of the target object in space, that is, the three-degree-of-freedom translation tra
With the gradual and widespread application of blockchain technology in the supply chain, its characteristics can help solve the financing problem of MSMEs. To this end, this paper constructs a cooperative game model for suppliers, manufacturers and retailers in the case of a cross-level guarantee of order-to-factoring, studies the pricing strategy of supply chain finance members based on blockchain technology by adopting the Stackelberg primary-secondary game method, and makes a reasonable allocation of total supply chain revenue with the help of the Shapley value of the cooperative game.
Human mobility is a key element in the understanding of epidemic spreading. Thus, correctly modeling and quantifying human mobility is critical for studying large-scale spatial transmission of infectious diseases and improving epidemic control. In this study, a large-scale agent-based transport simulation (MATSim) is linked with a generic epidemic spread model to simulate the spread of communicable diseases in an urban environment. The use of an agent-based model allows reproduction of the real-world behavior of individuals’ daily path in an urban setting and allows the capture of int
Partial label learning is a weakly supervised learning framework, which attempts to select the only correct label from multiple candidate labels of the sample. Disambiguation is an important means in partial tag learning, which mainly uses algorithms to identify potential real tags. At present, researchers generally use a single feature space or label space for disambiguation, which is easy to lead the algorithm to fall into saddle point under the guidance of inaccurate prior knowledge. In order to solve the problem that similar samples are easy to be affected by abnormal samples in the pro
Accurate mover position is vital for a permanent magnet tubular linear motor (PMTLM) control system. In this paper, two linear Hall sensors are utilized to detect the mover position. However, Hall sensor signals contain third-order harmonics, creating errors in mover position detection. To filter out the third-order harmonics, a signal processing method based on the extended Kalman filter (EKF) is presented. The limitation of conventional processing method is first analyzed, and then EKF is adopted to detect the mover position. In the EKF model, the amplitude of the fundamental component an