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Liu Dongdong,Liu Kai,Wang Feng,Han Bo,Zhao Zhengping,Tan Fuxiao,Niu Lei 보안공학연구지원센터 2016 International Journal of u- and e- Service, Scienc Vol.9 No.8
In allusion to such problems as low accuracy and long convergence time in traditional two-echelon vehicle routing optimization algorithm, a Memetic algorithm (QDEMA) based on Q learning theory and differential evolution is proposed in this article to solve above problems. Firstly, it is necessary to research the two-echelon vehicle routing optimization problem and adopt the optimal segmentation method to obtain the relatively reasonable distribution plan for the first-echelon SDVRP problem in order to accordingly determine the distribution quantity of the transfer stations; secondly, the second-echelon MDVRP distribution scheme is solved to obtain the total distance and the total number of the distribution vehicles for the two-echelon optimization problem; thirdly, in allusion to the solution of the second-echelon MDVRP distribution scheme, Q learning theory and the differential evaluation algorithm are adopted to design new Memetic algorithm in order to globally optimize MDVRP distribution scheme; finally, the simulation experiment is carried out to verify the algorithm effectiveness.
Consensus Tracking for Teleoperating Cyber-physical System
Lingmin Zhang,Jing Yan,Xian Yang,Xiao-yuan Luo,Fuxiao Tan,Xinbin Li 제어·로봇·시스템학회 2018 International Journal of Control, Automation, and Vol.16 No.3
In this paper, we investigate the consensus tracking problem for teleoperating cyber-physical system (TCPS) under time-varying delay and actuator saturation constraints. Due to the introduction of communication network, variable propagation time delays are considered in cyber element. In addition, actuator saturation problem is investigated in physical element, which is caused by the physical restrictions on robots. Then, a novel distributed consensus tracking controller is proposed in the presence of time-varying delay and actuator saturation. Meanwhile, sufficient conditions are provided to show that the consensus tracking controller can stabilize the master-slave TCPS. Finally, simulations and experiments are performed to validate our proposed results. It is shown that the consensus controllers can guarantee the asymptotic stability of single-master-multi-slave TCPS.