Sökning: "Learning-Based Control"

Visar resultat 1 - 5 av 37 avhandlingar innehållade orden Learning-Based Control.

  1. 1. Harvesting Based Communications for Wireless Control Systems : Event-Trigger and Reinforcement Learning Based Transmission Policies

    Författare :Ruslan Seifullaev; Steffi Knorn; Anders Ahlén; Fredrik Gustafsson; Uppsala universitet; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; wireless control systems; energy harvesting; event-triggered control; Lyapunov stability analysis; fading channel; quantized data; Markov models; Bayesian estimation; reinforcement learning; dynamic programming; Electrical Engineering with specialization in Signal Processing; Elektroteknik med inriktning mot signalbehandling;

    Sammanfattning : Wireless control systems have gained considerable attention in recent years due to their numerous advantages, including increased flexibility and scalability, reduced wiring complexity, and cost-efficiency. Despite these benefits, the use of communication networks in control loops poses various challenges, such as sampled data, latency, packet dropouts, etc. LÄS MER

  2. 2. Learning-based Control for 4D Printing and Soft Robotics

    Författare :Qinglei Ji; Lei Feng; Lihui Wang; Xi Vincent Wang; Yong Chen; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; 3D Printing; 4D Printing; Soft Robots; Machine Learning; Reinforcement Learning; Control; Production Engineering; Industriell produktion;

    Sammanfattning : Exploiting novel sensors and actuators made of flexible and smart materials becomes a new trend in robotics research. The studies on the design, production, and control of the new type of robots motivate the research fields of soft robots and 4D printed robots. LÄS MER

  3. 3. Machine learning based control of small-scale autonomous data centers

    Författare :Rickard Brännvall; Fredrik Sandin; Jonas Gustafsson; Johan Eker; Luleå tekniska universitet; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Reglerteknik; Control Engineering;

    Sammanfattning : The low-latency requirements of 5G are expected to increase the demand for distributeddata storage and computing capabilities in the form of small-scale data centers (DC)located at the edge, near the interface between mobile and wired networks. These edgeDC will likely be of modular and standardized designs, although configurations, localresource constraints, environments and load profiles will vary and thereby increase theDC infrastructure diversity. LÄS MER

  4. 4. Defense of Cyber-Physical Systems Against Learning-based Attackers

    Författare :Rijad Alisic; Henrik Sandberg; Karl H. Johansson; Miroslav Pajic; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Control Theory; Security; Privacy; Machine Learning; Cyber-Physical Systems; Change Point Problems; Electrical Engineering; Elektro- och systemteknik;

    Sammanfattning : Cyberattacks against critical infrastructures pose a serious threat to society, as they can have devastating consequences on the economy, security, or public health. These infrastructures rely on a large network of cyber components, such as sensors, controllers, computers, and communication devices, to monitor and control their physical processes. LÄS MER

  5. 5. Learning to Control the Cloud

    Författare :Albin Heimerson; Institutionen för reglerteknik; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Cloud Computing; Reinforcement Learning; Learning-Based Control; Microservices; Datacenter; Autoscaling; Load Balancing; Neural Networks;

    Sammanfattning : With the growth of the cloud industry in recent years, the energy consumption of the underlying infrastructure is a major concern.The need for energy efficient resource management and control in the cloud becomes increasingly important as one part of the solution, where the other is to reduce the energy consumption of the hardware itself. LÄS MER