Search for dissertations about: "data-driven control"

Showing result 1 - 5 of 86 swedish dissertations containing the words data-driven control.

  2. 1. Data-Driven User Behavior Evaluation

    Author : Julia Orlovska; Chalmers tekniska högskola; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; vehicle data; ADAS; driver behavior; data-driven evaluation;

    Abstract : Automotive Original Equipment Manufacturers (OEMs) compete worldwide to stand out with new trends and technologies. Automated Driver Assistance Systems (ADAS) are an example of advanced solutions where a lot of effort is put into the development and utilization of vehicle data. READ MORE

  4. 2. Systematic Data-Driven Continual Self-Learning

    Author : Diarmuid Corcoran; Magnus Boman; Steven Latré; KTH; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Data-Driven Methods; Self-Learning Systems; Reinforcement Learning Algorithms; Implementation Architectures; Datadrivna metoder; Självlärande system; Reinforcement Learning-algoritmer; Implementeringsarkitekturer;

    Abstract : There is a lot of unexploited potential in using data-driven and self-learning methods to dramatically improve automatic decision-making and control in complex industrial systems. So far, and on a relatively small scale, these methods have demonstrated some potential to achieve performance gains for the automated tuning of complex distributed systems. READ MORE

  5. 3. Safe data-driven control for robots with constrained motion

    Author : Pouria Tajvar; Jana Tumova; Ram Vasudevan; KTH; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Data-driven control; System abstraction; Motion planning;

    Abstract : Widespread deployment of robots in offices, hospitals, and homes is a highly anticipated breakthrough in robotics. In such environments, the robots are expected to fulfil new tasks as they arrive in contrast to repetitive tasks. Such environments are unstructured and may impose various constraints on a robot's motion. READ MORE

  6. 4. Data-driven quality management using explainable machine learning and adaptive control limits

    Author : Niklas Fries; Patrik Rydén; Jun Yu; Rebecka Jörnsten; Umeå universitet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; quality management; machine learning; local explanation methods; process adjustment policies; simulation; matematisk statistik; Mathematical Statistics; data science; data science;

    Abstract : In industrial applications, the objective of statistical quality management is to achieve quality guarantees through the efficient and effective application of statistical methods. Historically, quality management has been characterized by a systematic monitoring of critical quality characteristics, accompanied by manual and experience-based root cause analysis in case of an observed decline in quality. READ MORE

  7. 5. Parameter Estimation : Towards Data-Driven and Privacy Preserving Approaches

    Author : Braghadeesh Lakshminarayanan; Cristian R. Rojas; Simone Garatti; KTH; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Parameter estimation; System identification;

    Abstract : Parameter estimation is a pivotal task across various domains such as system identification, statistics, and machine learning. The literature presents numerous estimation procedures, many of which are backed by well-studied asymptotic properties. READ MORE