Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Jiahuang Zhang"'
Publikováno v:
IEEE Access, Vol 9, Pp 44784-44796 (2021)
This paper addresses finite-time projective synchronization of stochastic complex-valued neural networks (SCVNNs) with probabilistic time-varying delays (PTVs). First, in the complex domain, PTVs are introduced into the studied model and a novel feed
Externí odkaz:
https://doaj.org/article/6217f82c3bcd4fe2a5b3baead9ac51f5
Publikováno v:
Energies, Vol 11, Iss 8, p 2023 (2018)
The traditional leader-follower formation algorithm can realize the formation of multiply robotic fishes, but fails to consider the energy consumption during the formation. In this paper, the energy optimized leader-follower formation algorithm has b
Externí odkaz:
https://doaj.org/article/168289c47bb34ef5818a34931125815b
Publikováno v:
Neurocomputing. 513:181-193
Publikováno v:
2022 7th International Conference on Computational Intelligence and Applications (ICCIA).
Publikováno v:
2022 5th International Conference on Artificial Intelligence and Big Data (ICAIBD).
Publikováno v:
2022 5th International Conference on Artificial Intelligence and Big Data (ICAIBD).
Publikováno v:
Journal of Air Transport Management. 107:102350
Publikováno v:
2021 4th International Conference on Artificial Intelligence and Big Data (ICAIBD).
Complex-valued neural networks (CVNNs) contain complex-valued parameters and variables, which is more effective when dealing with complex signals. In order to extend and complement the known results of CVNNs, in this paper, the problem of finite-time
Publikováno v:
2021 4th International Conference on Artificial Intelligence and Big Data (ICAIBD).
This paper considered the problem for global exponential synchronization of switched inertial reaction-diffusion neural networks with time varying delays via intermittent control. Through the order-reduce method, the switched inertial reaction-diffus
Publikováno v:
Energies
Volume 11
Issue 8
Energies, Vol 11, Iss 8, p 2023 (2018)
Volume 11
Issue 8
Energies, Vol 11, Iss 8, p 2023 (2018)
The traditional leader-follower formation algorithm can realize the formation of multiply robotic fishes, but fails to consider the energy consumption during the formation. In this paper, the energy optimized leader-follower formation algorithm has b