Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Chaoqing Jia"'
Publikováno v:
Systems Science & Control Engineering, Vol 12, Iss 1 (2024)
This paper discusses the encryption-decryption-based state estimation (EDBSE) issue for coupled perturbation complex networks (CPCNs) in the framework of the Kalman-type filtering scheme. A uniform distributed random variable is employed to character
Externí odkaz:
https://doaj.org/article/e8574084f7414259816d6f7877ab4a0b
Publikováno v:
Systems Science & Control Engineering, Vol 10, Iss 1, Pp 603-615 (2022)
In this paper, the non-fragile joint state and fault estimation problem is investigated for a class of nonlinear time-varying complex networks (NTVCNs) with uncertain inner coupling and mixed time-delays. Compared with the constant inner coupling str
Externí odkaz:
https://doaj.org/article/5f6fc7fc8b384136a0e076628ff65648
Publikováno v:
Systems Science & Control Engineering, Vol 9, Iss 1, Pp 173-187 (2021)
In this paper, the design problem of recursive state estimation algorithm based on delay-prediction compensation is considered for a class of linear time-varying uncertain dynamical networks with network-induced communication transmission delays and
Externí odkaz:
https://doaj.org/article/34c5c419d0f346b38028351ed083d607
Autor:
Chaoqing Jia, Jun Hu
Publikováno v:
Advances in Difference Equations, Vol 2019, Iss 1, Pp 1-21 (2019)
Abstract In this paper, the robust optimal filtering problem is discussed for time-varying networked systems with randomly occurring quantized measurements via the variance-constrained method. The stochastic nonlinearity is considered by statistical
Externí odkaz:
https://doaj.org/article/76fb18707071440fab0f24ace50371f8
Publikováno v:
Information Sciences. 630:53-73
Publikováno v:
Neural Computing and Applications. 35:13261-13273
Publikováno v:
International Journal of Adaptive Control and Signal Processing. 37:1203-1225
Publikováno v:
ISA Transactions. 127:88-98
This paper is concerned with the recursive state estimation (RSE) problem under minimum mean-square error sense for a class of nonlinear complex networks (CNs) with uncertain inner coupling, random link failures and packet disorders. Firstly, a set o
Publikováno v:
Neurocomputing. 494:297-307
Publikováno v:
Journal of the Franklin Institute. 359:5575-5595