Results 1 to 10 of about 1,270,069 (328)
Defense against Adversarial Swarms with Parameter Uncertainty [PDF]
Sensors, 2022 This paper addresses the problem of optimal defense of a high-value unit (HVU) against a large-scale swarm attack. We discuss multiple models for intra-swarm cooperation strategies and provide a framework for combining these cooperative models with HVU ...
Claire Walton +4 more
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Dynamic Incentive Contracts under Parameter Uncertainty [PDF]
SSRN Electronic Journal, 2010 We analyze a long-term contracting problem involving common uncertainty about a parameter capturing the productivity of the relationship, and featuring a hidden action for the agent.
Jovanovic, Boyan, Prat, Julien
core +7 more sources
Parameter uncertainty in medium-term coastal morphodynamic modeling [PDF]
Scientific ReportsRising sea levels and anthropogenic activities are intensifying pressure on coastal zones. Process-based coastal morphodynamic models are increasingly used to forecast natural and anthropogenic beach morphology changes at various spatio-temporal scales ...
Anna Kroon +4 more
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Evaluating model reduction under parameter uncertainty. [PDF]
BMC Syst Biol, 2018 The dynamics of biochemical networks can be modelled by systems of ordinary differential equations. However, these networks are typically large and contain many parameters. Therefore model reduction procedures, such as lumping, sensitivity analysis and time-scale separation, are used to simplify models. Although there are many different model reduction
Frøysa HG, Fallahi S, Blaser N.
europepmc +4 more sources
Accounting for parameter uncertainty in the definition of parametric distributions used to describe individual patient variation in health economic models [PDF]
BMC Medical Research Methodology, 2017 Background Parametric distributions based on individual patient data can be used to represent both stochastic and parameter uncertainty. Although general guidance is available on how parameter uncertainty should be accounted for in probabilistic ...
Koen Degeling +3 more
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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
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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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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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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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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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