Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Huan Xin Peng"'
Autor:
Ping, Fan, Huan-Xin, Peng, Zhuang-Hao, Zheng, Zi-Hang, Chen, Shi-Jie, Tan, Xing-Ye, Chen, Yan-Di, Luo, Zheng-Hua, Su, Jing-Ting, Luo, Guang-Xing, Liang
Publikováno v:
Nanomaterials
Lead-free double perovskites have been considered as a potential environmentally friendly photovoltaic material for substituting the hybrid lead halide perovskites due to their high stability and nontoxicity. Here, lead-free double perovskite Cs2AgBi
Autor:
Huan-xin Peng
Publikováno v:
DEStech Transactions on Engineering and Technology Research.
Because the high-order distributed consensus algorithm utilizes the previous state values of non-adjacent nodes to accelerate the convergent rate, under the quantized communication, it means that the high-order distributed consensus algorithm utilize
Publikováno v:
DEStech Transactions on Computer Science and Engineering.
Publikováno v:
DEStech Transactions on Computer Science and Engineering.
Publikováno v:
Applied Mechanics and Materials. 577:921-925
In order to improve the accuracy of distributed consensus under digital communication, in the paper, assuming the initial states of nodes following uniform distribution, a non-uniform quantization scheme based on probabilistic quantization is propose
Publikováno v:
Applied Mechanics and Materials. :393-396
In this paper, we analyze the pseudo two-hop distributed consensus algorithm with communication noise. If there is communication noise among agents, the convergence performance of distributed consensus algorithms degrades. Supposing that the communic
Publikováno v:
Applied Mechanics and Materials. :950-953
The convergence rate is very important in the distributed consensus problems, especially, for the distributed consensus algorithms based on large-scale complex networks. In order to accelerate the convergence rate of the distributed consensus algorit
Publikováno v:
Applied Mechanics and Materials. :1077-1080
In the paper, we analyze the distributed flocking algorithms with communication noise. Under the Boid model, flocking algorithm with communication noise is easy to diverge. In order to improve the convergence performance of flocking algorithms with c
Publikováno v:
Advanced Materials Research. :658-661
In the paper, we address the problem of target tracking with quantized communication. While the probabilistic distributed function of the measurement is unknown, in order to simplify the calculations of target tracking system and improve the accuracy
Publikováno v:
Applied Mechanics and Materials. :652-655
In the paper, we analyze the distributed flocking control algorithms under virtual leader-follower model with communication time-delay. Under virtual leader-follower model, flocking algorithm can avoid diverging, but the performance of flocking contr