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Showing 1 to 7 of 7 for “"uncertainty characterization"”.

  1. Integral Quadratic Constraints and Safety Certificates for Uncertainty Characterization and Control Safety-Aware Filtering of Proximity Operations Between Satellites

    … capture of unmodeled dynamics to reduce system uncertainty of proximity operations among the Servicer, client satellite (Client), and unsafe regions (e.g., obstacle). The same controller is implemented with a finite time horizon (i.e., model predictive controller) to filter out unsafe control …

    mit Repository record for Integral Quadratic Constraints and Safety Certificates for Uncertainty Characterization and Control Safety-Aware Filtering of Proximity Operations Between Satellites (opens in a new tab)

  2. Robust and Data-Driven Uncertainty Quantification Methods as Real-Time Decision Support in Data-Driven Models

    … corruption, bias, limited interpretability, and uncertainty misrepresentation—which can compromise their reliability. Propagating uncertainties from sources like model parameters and input features is crucial in data-driven models to ensure trustworthy predictions and informed decisions. …

    vt Repository record for Robust and Data-Driven Uncertainty Quantification Methods as Real-Time Decision Support in Data-Driven Models (opens in a new tab)

  3. Exploration and Production Risk Mitigation for Geothermal Adoption in the Energy Transition

    … geothermal gradient, with quantitative uncertainty estimates associated with the measurements, the models, and the solution space. These uncertainty estimates provide a measure of risk, as well as decision tools for investments in additional data-gathering activities before the first …

    mit Repository record for Exploration and Production Risk Mitigation for Geothermal Adoption in the Energy Transition (opens in a new tab)

  4. Satellite Drag and Sustainable Space Operations in a Dynamic Thermosphere

    … predictions, but also credible estimates of uncertainty. In LEO, variability in atmospheric drag is by far the dominant source of propagation error, often leading to deviations of several kilometers per day due to unpredictable solar and geomagnetic activity. Even over short timescales, …

    mit Repository record for Satellite Drag and Sustainable Space Operations in a Dynamic Thermosphere (opens in a new tab)

  5. Robust Control Design and Analysis for Small Fixed-Wing Unmanned Aircraft Systems Using Integral Quadratic Constraints

    … is specifically developed for the complete uncertainty characterization, quantification, and analysis of small fixed-wing UAS. The analytical approach presented within is based on integral quadratic constraint (IQC) analysis methods and uses linear fractional transformations (LFTs) on …

    vt Repository record for Robust Control Design and Analysis for Small Fixed-Wing Unmanned Aircraft Systems Using Integral Quadratic Constraints (opens in a new tab)

  6. Bayesian Methods to Characterize Uncertainty in Predictive Modeling of the Effect of Urbanization on Aquatic Ecosystems

    … dynamics at the system level, incorporating uncertainty resulting from imperfect knowledge, imperfect data, and environmental variability, and integrating multiple sources of available information about the system into the modeling construct. These challenges can be addressed by using a …

    duke Repository record for Bayesian Methods to Characterize Uncertainty in Predictive Modeling of the Effect of Urbanization on Aquatic Ecosystems (opens in a new tab)

  7. A novel framework for data-driven modeling, uncertainty quantification, and deep learning of nuclear reactor simulations

    … method for reactor modeling, simulation, and uncertainty characterization through an integrated framework developed under the terminology of combining four fundamental principles in scientific modeling and computing: Physics, Models, Data, and UQ (Uncertainty Quantification). The framework …

    uiuc Repository record for A novel framework for data-driven modeling, uncertainty quantification, and deep learning of nuclear reactor simulations (opens in a new tab)