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Showing 1 to 4 of 4 for “"Predictive optimization"”.

  1. Policy regularized model predictive control framework for robust legged locomotion

    A novel Policy Regularized Model Predictive Control (PR-MPC) framework is developed to allow general robust legged locomotion with the MIT Cheetah quadruped robot. The full system is approximated by a simple control model that retains the key nonlinearities characteristic to legged contact dynamics …

    mit Repository record for Policy regularized model predictive control framework for robust legged locomotion (opens in a new tab)

  2. Development of Optimization Models for the Set Behavior and Compressive Strength of Sodium Activated Geopolymer Pastes

    … to overcome these barriers, this study developed predictive optimization models through the use of genetic programming with experimentally collected set times and compressive strengths of several geopolymer paste mixes. The developed set behavior models were shown to predict the correct set …

    wustl Repository record for Development of Optimization Models for the Set Behavior and Compressive Strength of Sodium Activated Geopolymer Pastes (opens in a new tab)

  3. Development of drilling optimization models for autonomous rotary drilling systems.

    … operational redundancy. This thesis presents predictive optimization models that use machine learning (ML) data analytics with actual field drilling data and experimental studies to develop predictive models for rock unconfined compressive strength (UCS) and ROP, enabling optimal …

    rgu Repository record for Development of drilling optimization models for autonomous rotary drilling systems. (opens in a new tab)

  4. Just(ifying) algorithms: Data-driven automated predictions about unobservable targets and the General Data Protection Regulation

    Predictive algorithms are increasingly used to profile, rank, classify, and make decisions about groups and individuals. Data-driven machine learning techniques, in which statistical models are developed and updated without any initial prior theory about which data are related to a classification, …

    cambridge Repository record for Just(ifying) algorithms: Data-driven automated predictions about unobservable targets and the General Data Protection Regulation (opens in a new tab)