Search for dissertations about: "MIMO control"

Showing result 1 - 5 of 49 swedish dissertations containing the words MIMO control.

  2. 1. Linear Quadratic Gaussian Controllers for Feedforward Active Noise Control : Pushing Performance and Moving Towards Adaptive Control

    Author : Annea Barkefors; Mikael Sternad; Anders Ahlén; Lars-Johan Brännmark; Bengt Carlsson; Uppsala universitet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; active noise control; ANC; LQG; feedforward control; sound field control; Elektroteknik med inriktning mot reglerteknik; Electrical Engineering with specialization in Automatic Control;

    Abstract : Active noise control is a research area focused on using destructive interference of sound fields to attenuate undesired noise. Methods for active noise control are best suited for low frequency noise, as the complexity of the problem grows rapidly with frequency. READ MORE

  4. 2. Performance Quantification of Interarea Oscillation Damping Using HVDC

    Author : Joakim Björk; Karl H. Johansson; Lennart Harnefors; Robin Preece; KTH; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; HVDC transmission control; interarea oscillations; power oscillation damping; small-signal stability; frequency control; controllability; MIMO control; decoupling control; multivariable interaction; Electrical Engineering; Elektro- och systemteknik;

    Abstract : With the transition towards renewable energy, and the deregulation of the electricity market, generation patterns and grid topology are changing. These changes increase the need for transfer capacity. One limiting factor, which sometimes leads to underutilization of the transmission grid, is interarea oscillations. READ MORE

  5. 3. Development and evaluation of methods for control of multiple-input multiple output systems

    Author : Fredrik Bengtsson; Chalmers tekniska högskola; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Hold-input; Unreliable communication links; Decentralized control; MIMO systems.; Delays; LQG control; Input-output scaling; Control configuration selection; Gramian based measures;

    Abstract : In control, the most common type of system is the multiple-input multiple-output (MIMO) system, where the same input may affect multiple outputs, or conversely, the same output is affected by multiple inputs. In this thesis two methods for controlling MIMO systems are examined, namely linear quadratic Gaussian (LQG) control and decentralized control, and some of the difficulties associated with them. READ MORE

  6. 4. Development and evaluation of methods for control and modelling of multiple-input multiple-output systems

    Author : Fredrik Bengtsson; Chalmers tekniska högskola; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Input-output scaling; Modeling; Fiber length; Tensile Index; Hold-input; Decentralized control; Gramian based measures; Delays; LQG control; TMP; Uncertain data sets; Unreliable communication links; MIMO systems; Control configuration selection; Linear regression; Freeness; Shives; CTMP;

    Abstract : In control, a common type of system is the multiple-input multiple-output (MIMO) system, where the same input may affect multiple outputs, or conversely, the same output is affected by multiple inputs. In this thesis two methods for controlling MIMO systems are examined, namely linear quadratic Gaussian (LQG) control and decentralized control, and some of the difficulties associated with them. READ MORE

  7. 5. Control over the Cloud : Offloading, Elastic Computing, and Predictive Control

    Author : Per Skarin; Institutionen för reglerteknik; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Cloud; Control Theory; Model Predictive Control; Offloading; Elastic Computing; Networks; Utility Computing; Cloud Services; Internet-of-Things; Distributed Cloud; 5G Systems;

    Abstract : The thesis studies the use of cloud native software and platforms to implement critical closed loop control. It considers technologies that provide low latency and reliable wireless communication, in terms of edge clouds and massive MIMO, but also approaches industrial IoT and the services of a distributed cloud, as an extension of commercial-of-the-shelf software and systems. READ MORE