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1997 1
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Page 1
Analysis for global characteristics of Lyapunov exponents in vehicle plane motion system.
Meng F, Shi S, Zhang B, Bai M, Lin N. Meng F, et al. Sci Rep. 2022 Jun 3;12(1):9300. doi: 10.1038/s41598-022-13411-x. Sci Rep. 2022. PMID: 35665768 Free PMC article.
It was used to studied the stable region of nonlinear vehicle plane motion system. However, the effect of Lyapunov exponents method in revealing the global dynamics characteristics has not been fully studied. ...The research and analysis in this paper supplement the …
It was used to studied the stable region of nonlinear vehicle plane motion system. However, the effect of Lyapunov exponents metho
Nonlinear and noisy extension of independent component analysis: theory and its application to a pitch sensation model.
Maeda S, Song WJ, Ishii S. Maeda S, et al. Neural Comput. 2005 Jan;17(1):115-44. doi: 10.1162/0899766052530866. Neural Comput. 2005. PMID: 15563750
Our model involves some algorithms of noisy linear ICA (e. g., Bermond & Cardoso, 1999) or noise-free nonlinear ICA (e. g., Lee, Koehler, & Orglmeister, 1997) as special cases. ...Since our model includes a cepstrum analysis in a special case, it is expected to pro …
Our model involves some algorithms of noisy linear ICA (e. g., Bermond & Cardoso, 1999) or noise-free nonlinear ICA (e. g., Lee, …
Extinction and persistence of a stochastic SIRV epidemic model with nonlinear incidence rate.
Rifhat R, Teng Z, Wang C. Rifhat R, et al. Adv Differ Equ. 2021;2021(1):200. doi: 10.1186/s13662-021-03347-3. Epub 2021 Apr 8. Adv Differ Equ. 2021. PMID: 33846684 Free PMC article.
In this paper, a stochastic SIRV epidemic model with general nonlinear incidence and vaccination is investigated. The value of our study lies in two aspects. Mathematically, with the help of Lyapunov function method and stochastic analysis theory, we o …
In this paper, a stochastic SIRV epidemic model with general nonlinear incidence and vaccination is investigated. The value of our st …
A pertinent approach to solve nonlinear fuzzy integro-differential equations.
Narayanamoorthy S, Sathiyapriya SP. Narayanamoorthy S, et al. Springerplus. 2016 Apr 14;5:449. doi: 10.1186/s40064-016-2045-4. eCollection 2016. Springerplus. 2016. PMID: 27119053 Free PMC article.
Fuzzy integro-differential equations is one of the important parts of fuzzy analysis theory that holds theoretical as well as applicable values in analytical dynamics and so an appropriate computational algorithm to solve them is in essence. In this article, we use …
Fuzzy integro-differential equations is one of the important parts of fuzzy analysis theory that holds theoretical as well as …
3D Underwater Uncooperative Target Tracking for a Time-Varying Non-Gaussian Environment by Distributed Passive Underwater Buoys.
Hou X, Zhou J, Yang Y, Yang L, Qiao G. Hou X, et al. Entropy (Basel). 2021 Jul 15;23(7):902. doi: 10.3390/e23070902. Entropy (Basel). 2021. PMID: 34356443 Free PMC article.
Aiming to overcome the low observability drawback inherent in the passive target tracking problem, a distributed passive underwater buoys observing system is considered and the optimal topology of the distributed measurement system is designed based on the nonlinear system …
Aiming to overcome the low observability drawback inherent in the passive target tracking problem, a distributed passive underwater buoys ob …
Fuzzy-Model-Based Output Feedback Reliable Control for Network-Based Semi-Markov Jump Nonlinear Systems Subject to Redundant Channels.
Shen H, Li F, Cao J, Wu ZG, Lu G. Shen H, et al. IEEE Trans Cybern. 2020 Nov;50(11):4599-4609. doi: 10.1109/TCYB.2019.2959908. Epub 2020 Jan 9. IEEE Trans Cybern. 2020. PMID: 31940577
The actuator faults are fully considered in the setup. On the basis of stochastic analysis theory and fuzzy-model-based method, some criteria are established to guarantee the sigma -error mean-square stability for the considered systems. As a consequence, the …
The actuator faults are fully considered in the setup. On the basis of stochastic analysis theory and fuzzy-model-based met
Bicoherence analysis of quadriceps electromyogram during isometric knee extension.
Simeoni RJ, Mills PM. Simeoni RJ, et al. Australas Phys Eng Sci Med. 2003 Mar;26(1):12-7. doi: 10.1007/BF03178691. Australas Phys Eng Sci Med. 2003. PMID: 12854620 Clinical Trial.
Previous studies into bicoherence analysis of EMG data are not apparent in the literature for comparison. Since nonlinear processes are known, through mechanomyogram bicoherence analysis, to be significant within active muscle fibre twitch summation patterns, the finding d …
Previous studies into bicoherence analysis of EMG data are not apparent in the literature for comparison. Since nonlinear processes a …
Finite-Time Stability Analysis for Markovian Jump Memristive Neural Networks With Partly Unknown Transition Probabilities.
Li R, Cao J. Li R, et al. IEEE Trans Neural Netw Learn Syst. 2017 Dec;28(12):2924-2935. doi: 10.1109/TNNLS.2016.2609148. Epub 2016 Sep 27. IEEE Trans Neural Netw Learn Syst. 2017. PMID: 28114080
By introducing a Markov switching Lyapunov functional and stochastic analysis theory, an FTSS test procedure is proposed, from which we can conclude that the settling time function is a stochastic variable and its expectation is finite. The system under consideratio …
By introducing a Markov switching Lyapunov functional and stochastic analysis theory, an FTSS test procedure is proposed, from …
Factor analysis of auto-associative neural networks with application in speaker verification.
Garimella S, Hermansky H. Garimella S, et al. IEEE Trans Neural Netw Learn Syst. 2013 Apr;24(4):522-8. doi: 10.1109/TNNLS.2012.2236652. IEEE Trans Neural Netw Learn Syst. 2013. PMID: 24808374
When the amount of speaker data is limited, this adaptation procedure may lead to overfitting as all the parameters of UBM-AANN are adapted. In this paper, we introduce and develop the factor analysis theory of AANNs to alleviate this problem. We hypothesize that on …
When the amount of speaker data is limited, this adaptation procedure may lead to overfitting as all the parameters of UBM-AANN are adapted. …
Nonlinear genetic relationships between traits and their implications on the estimation of genetic parameters.
Fuerst-Waltl B, Essl A, Sölkner J. Fuerst-Waltl B, et al. J Anim Sci. 1997 Dec;75(12):3119-25. doi: 10.2527/1997.75123119x. J Anim Sci. 1997. PMID: 9419984
To estimate nonlinear genetic relationships between traits, formulas based on the paternal halfsib analysis theory were derived. ...Some of the traditional linear genetic parameters need correction; however, their value is limited if the relationship between …
To estimate nonlinear genetic relationships between traits, formulas based on the paternal halfsib analysis theory were …
13 results