Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Daipeng Zhang"'
Publikováno v:
IEEE Access, Vol 10, Pp 81654-81683 (2022)
The motivation of this paper comes from the fact that $\mathcal {L}_{p}-$ stability and $\mathcal {L}_{p}-$ gain, using the classical signal norms, is not well-defined for arbitrary continuous weighted homogeneous systems. However, using homogeneous
Externí odkaz:
https://doaj.org/article/f12b756e2f8b42c499c625a40a8924e2
Publikováno v:
Symmetry, Vol 14, Iss 5, p 1034 (2022)
In this paper, we study the classification problem of large data with many features and strong feature dependencies. This type of problem has shortcomings when handled by machine learning models. Therefore, a classification model with cognitive reaso
Externí odkaz:
https://doaj.org/article/0bef72ccc29841c0aac83f8140d49799
Publikováno v:
International Journal of Machine Learning and Cybernetics. 14:2511-2528
Autor:
Johann Reger, Daipeng Zhang
Publikováno v:
2019 18th European Control Conference (ECC).
The super-twisting controller with state dependent disturbance is studied to obtain a preferable parameter set. Whenever the disturbances obey a respective bound, the system will enjoy complete rejection of the disturbance and converge within finite
Autor:
Daipeng Zhang, Johann Reger
Publikováno v:
2018 15th International Workshop on Variable Structure Systems (VSS).
The super-twisting algorithm is studied for the case when a disturbance whose derivative is $\mathcal{L}_{2}$ -norm bounded and violates its presumed Lipschitz bound from time to time. In such interim time span the state may be driven away from the o
Autor:
Johann Reger, Daipeng Zhang
Publikováno v:
ASCC
H ∞ norm-based minimax estimators using the μ synthesis are developed to estimate the state of an LTI system when subject to structured parameter uncertainty in the model. To this end, an estimator first published in [4], [5] is revisited, includi
Autor:
Daipeng Zhang, Johann Reger
Publikováno v:
2017 11th Asian Control Conference (ASCC)
Autor:
Daipeng Zhang, Gang Zhu
Publikováno v:
2005 IEEE International Symposium on Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications.
In this paper, we propose QoS-based distributed intelligent call admission control (DICAC) for wideband multi-service CDMA system. Neural network is employed to predict next-step existing-call interference, fuzzy logic is used to estimate equivalent
Autor:
Daipeng Zhang, Johann Reger
Publikováno v:
2018 15th International Workshop on Variable Structure Systems (VSS)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::4797c57ac3975b0ed9e19bde376331d2
Autor:
Daipeng Zhang, Gang Zhu
Publikováno v:
2005 IEEE International Symposium on Microwave, Antenna, Propagation & EMC Technologies for Wireless Communications; 2005, p1439-1439, 1p