Zobrazeno 1 - 10
of 79
pro vyhledávání: '"Zunshui Cheng"'
Publikováno v:
Complexity, Vol 2023 (2023)
Population ecosystems can display the tipping points at which extinctions of species happens. To predict the appearance of tipping points and to understand their evolution mechanism are of uttermost importance for ecological balance. Using techniques
Externí odkaz:
https://doaj.org/article/317eb9f6db9f432186f328b1e4fa8243
Publikováno v:
IEEE Access, Vol 8, Pp 49000-49012 (2020)
In this paper, formation keeping control of unmanned aerial vehicles (UAVs) based on multi-agent system consensus is studied. Firstly, a leader-following model based multiple unmanned aerial vehicles' (multi-UAVs') formation system is proposed. In wh
Externí odkaz:
https://doaj.org/article/ce2d1d6d38874a6c962fe380e1fe41f4
Publikováno v:
IEEE Access, Vol 8, Pp 46071-46080 (2020)
This paper is concerned with the stability and Hopf bifurcation of fractional-order neural networks with discrete and distributed delays. The novelty of this paper is to take into account the discrete time delay and the distributed time delay for fra
Externí odkaz:
https://doaj.org/article/6c4c3f1645184385b495031b7c672d97
Autor:
Ping Wang, Zunshui Cheng
Publikováno v:
Abstract and Applied Analysis, Vol 2013 (2013)
The nonlinear hydroelastic waves propagating beneath an infinite ice sheet floating on an inviscid fluid of finite depth are investigated analytically. The approximate series solutions for the velocity potential and the wave surface elevation are der
Externí odkaz:
https://doaj.org/article/ee236b312a3040e098e381a7aebc13dc
Publikováno v:
Neural Networks. 164:264-274
Publikováno v:
IEEE Transactions on Systems, Man, and Cybernetics: Systems. 53:2716-2725
Publikováno v:
Asian Journal of Control. 25:1323-1335
Publikováno v:
Neural Processing Letters. 54:1977-1993
Publikováno v:
Cognitive Computation. 13:1233-1245
It is well known that brain neural networks are composed of hundreds of millions of neurons with complicated connections. It is noteworthy that there are a large number of neural circuits formed by the coupling relationship in neural networks. Howeve
Publikováno v:
Neural Processing Letters. 53:4571-4592
In this article, a general tri-diagonal bidirectional associative memory (BAM) neural network model with 2n-neurons is proposed. Our investigates have some distinct superiorities, including forward transmission delay and feedback delay in the model a