Results 11 to 20 of about 8,241,365 (123)
Ultimately Exponentially Bounded Estimates for a Class of Nonlinear Discrete−Time Stochastic Systems
Mathematics, 2023 In this paper, the ultimately exponentially bounded estimate problem of nonlinear stochastic discrete−time systems under generalized Lipschitz conditions is considered. A new sufficient condition making the estimation error system uniformly exponentially
Xiufeng Miao, Yaoqun Xu, Fengge Yao
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Control of the lifecycle of a technological complex for the rectification of multicomponent mixtures under conditions of parameter uncertainty [PDF]
E3S Web of Conferences, 2023 Input parameter uncertainty is paid more attention among such parameters as parameter uncertainty, model uncertainty, choice uncertainty under variability, spatial variability uncertainty, temporal variability uncertainty, inter-site variability ...
Avazov Yusuf +3 more
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Integrating Uncertainty into Neural Network-based Speech Enhancement [PDF]
IEEE/ACM Transactions on Audio, Speech, and Language Processing,
vol. 31, pp. 1587-1600, 2023, 2023 Supervised masking approaches in the time-frequency domain aim to employ deep neural networks to estimate a multiplicative mask to extract clean speech. This leads to a single estimate for each input without any guarantees or measures of reliability. In this paper, we study the benefits of modeling uncertainty in clean speech estimation.
arxiv +1 more source
Mathematics, 2023 Parameter uncertainty is one of the key factors that affect the performance of train systems. In order to obtain good tracking and cooperation performances and to improve line utilization, this paper proposes a sliding mode surface-based cooperation ...
Xue Lin, Caiqing Ma, Qianling Wang
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Investor’s portfolio decision: perspective of parameter uncertainty
Systems Science & Control Engineering, 2020 During the process of portfolio decision, the investor usually assumes that the distribution of asset return is known in order to identify the optimal investment strategy.
Bei Tu, Chaolin He
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Frontiers in Marine Science, 2020 Ecosystem models have been developed for detecting community responses to fishing pressure and have been widely applied to predict the ecological effects of fisheries management.
Jia Wo +6 more
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Parameter estimation and uncertainty analysis in hydrological modeling
WIREs Water, 2021 Nowadays, mathematical models of hydrological systems are used routinely to guide decision making in diverse subjects, such as: environmental and risk assessments, design of remediation strategies for contaminated sites, and evaluation of the impact of ...
P. Herrera, M. A. Marazuela, T. Hofmann
semanticscholar +1 more source
IEEE Access, 2020 In this paper, the robust controller design problem of uncertain multi-input multi-output nonlinear non-minimum phase system is discussed. The nonlinear system is suffering from both uncertainty and input delay, so the controller design is difficult. The
Zhiguo Liu +3 more
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Projection Pursuit Multivariate Sampling of Parameter Uncertainty
Applied Sciences, 2022 The efficiency of sampling is a critical concern in Monte Carlo analysis, which is frequently used to assess the effect of the uncertainty of the input variables on the uncertainty of the model outputs.
Oktay Erten +2 more
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Affine processes under parameter uncertainty [PDF]
Probability, Uncertainty and Quantitative Risk, 2018 We develop a one-dimensional notion of affine processes under parameter uncertainty, which we call nonlinear affine processes. This is done as follows: given a set Θ of parameters for the process, we construct a corresponding nonlinear expectation on the
T. Fadina +2 more
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