Improving the estimation of parameter uncertainty distributions in nonlinear mixed effects models using sampling importance resampling. [PDF]
J Pharmacokinet Pharmacodyn, 2016 Taking parameter uncertainty into account is key to make drug development decisions such as testing whether trial endpoints meet defined criteria. Currently used methods for assessing parameter uncertainty in NLMEM have limitations, and there is a lack ...
Dosne AG +3 more
europepmc +2 more sources
Agronomy, 2021 Reliable estimations of parameter values and associated uncertainties are crucial for crop model applications in agro-environmental research. However, estimating many parameters simultaneously for different types of response variables is difficult.
Chenyao Yang +6 more
doaj +1 more source
Comparison of Disturbance Compensators for a Discrete-Time System with Parameter Uncertainty
Applied Sciences, 2020 The control design for many industrial applications requires compensation for parameter uncertainty and external disturbance. Reported in many previous works, the parameter uncertainty and external disturbance are combined as a lumped disturbance, which ...
Zhongyi Guo, Haifeng Ma, Qinghua Song
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Optimal Design of Tuned Mass-Damper-Inerter for Structure with Uncertain-but-Bounded Parameter
Buildings, 2022 In this study we focus on the H∞ optimization of a tuned mass damper inerter (TMDI), which is implemented on an harmonically forced structure of a single degree of freedom in the presence of stiffness uncertainty. Posed as a min-max optimization problem,
Shaoyi Zhou +5 more
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Load Frequency Robust Control Considering Intermittent Characteristics of Demand-Side Resources
Energies, 2022 Renewable energy has the characteristics of low carbon and environmental protection compared to traditional water and thermal power, but it also has the intermittency and uncertainty that traditional water and thermal power does not have.
Guoxin Ming +5 more
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Machine-Learning-Based Improved Smith Predictive Control for MIMO Processes
Mathematics, 2022 Controlling time-delayed processes is one of the challenges in today’s process industries. If the multi-input/multi-output system is dynamically coupled, the delay problem becomes more critical.
Xinlan Guo +2 more
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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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