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Articles 1 - 6 of 6
Full-Text Articles in Physical Sciences and Mathematics
Robot Arm Control Method Based On Deep Reinforcement Learning, Heyu Li, Zhilong Zhao, Gu Lei, Liqin Guo, Zeng Bi, Tingyu Lin
Robot Arm Control Method Based On Deep Reinforcement Learning, Heyu Li, Zhilong Zhao, Gu Lei, Liqin Guo, Zeng Bi, Tingyu Lin
Journal of System Simulation
Abstract: Deep reinforcement learning continues to explore in the environment and adjusts the neural network parameters by the reward function. The actual production line can not be used as the trial and error environment for the algorithm, so there is not enough data. For that, this paper constructs a virtual robot arm simulation environment, including the robot arm and the object. The Deep Deterministic Policy Gradient (DDPG),in which the state variables and reward function are set,is trained by deep reinforcement learning algorithm in the simulation environment to realize the target of controlling the robot arm to move the gripper below …
Credible Optimum Selection Of Guidance System Simulation Based On Entropy Weight Vikor Method, Wenguang Yang, Yunjie Wu
Credible Optimum Selection Of Guidance System Simulation Based On Entropy Weight Vikor Method, Wenguang Yang, Yunjie Wu
Journal of System Simulation
Abstract: As the core component of the missile system, the guidance system plays an increasingly important role in the design of missile system. In order to improve the accuracy of the guidance system, this paper obtains the experimental data under a number of parameter design schemes by means of simulation experiments. The problem of simulation credibility verification of guidance system is transformed into multi-attribute decision-making optimization problem, and a parameter optimization method of guidance system based on improved VIKOR method is designed. The improved VIKOR method overcomes the phenomenon of rank reversal and ensures that the optimal final compromise solution …
Analysis And Optimization Of Hospital Pharmacy Sorting System Based On Simulation, Liu Shuang, Lü Chao
Analysis And Optimization Of Hospital Pharmacy Sorting System Based On Simulation, Liu Shuang, Lü Chao
Journal of System Simulation
Abstract: The assignment rules are presented by researching system data information with a large Chinese medicine pharmacy sorting system as an object. Based on simulation technology, the system model is presented; the system operation time, cost, efficiency, and assigned laws and human resources configuration as well as many other factors affecting the performance of the system are analyzed. Based on the analysis of the original system, three optimization schemes are designed and compared. The simulation results show that, during the same simulation period, the reallocation of human resources can reduce the economic cost, but it has little improvement on …
Channel Modeling And Networking Simulation Of Full Duplex Communication, Zhimin Liu, Sun Jie, Jiarui Ding
Channel Modeling And Networking Simulation Of Full Duplex Communication, Zhimin Liu, Sun Jie, Jiarui Ding
Journal of System Simulation
Abstract: Full duplex communication is a new wireless communicating technology for improving the spectrum efficiency substantially. Few researches study full duplex networking technology now nationally and internationally. The architecture and implementation approach of full duplex communication system are introduced to describe the main model and functions of the platform in detail. After analyzing different kinds of self-interference cancellation technology, the self-interference cancellation module and channel model of full duplex system in the platform is built based on C language,which lays a foundation for prospective full duplex networking technology. Simulation results verify the platform’s effectiveness, and present the spectrum efficiency and …
Correlation Analysis Model Of Generalized Stochastic System Dynamics, Guangqiu Huang, Qiuqin Lu
Correlation Analysis Model Of Generalized Stochastic System Dynamics, Guangqiu Huang, Qiuqin Lu
Journal of System Simulation
Abstract: In order to solve the problem of system dynamics (SD) simulation and correlation analysis of complex system containing random possesses, the generalized stochastic Petri-net (GSPN) is expanded into the generalized stochastic function Petri-net (GSFPN), and a GSFPN-SD model is proposed by combining GSFPN and SD. The GSFPN-SD model has the following advantages: (1) the process of state evolution is more clear by firing transits; (2) it describes the autonomous dynamic evolution of complex system more realistically as system’s dynamic change is driven by events; (3) transits are fired by tokens' movement, thus the system states can conditionally or …
Research On The Torque Ripple Of Brushless Dc Motor Under Non-Ideal Emf, Kun Xia, Bin Dong, Lu Jing
Research On The Torque Ripple Of Brushless Dc Motor Under Non-Ideal Emf, Kun Xia, Bin Dong, Lu Jing
Journal of System Simulation
Abstract: Non-ideal back-EMF waveform of brushless DC motor is unavoidable due to manufactory technology limitation, which contributes to the torque ripple and requires high performance controller to suppress the influence. Several back-EMF waveforms are analyzed and mathematical model of non-ideal back-EMF is proposed. The torque ripple under the non-ideal waveform is calculated and the relationship between torque ripple and the shape of back-EMF waveform is achieved by this model. The change of torque ripple under non-ideal back-EMF is simulated with driving current of square wave and sinusoidal wave. The results show the effectiveness of the back-EMF model for calculating …