Blar i Institutt for teknisk kybernetikk på tittel

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    • A comparison of hazard analysis methods capability for safety requirements generation 

      Zikrullah, Nanda Anugrah; Kim, Hyungju; van der Meulen, Meine J. P; Skofteland, Gunleiv; Lundteigen, Mary Ann (Peer reviewed; Journal article, 2021)
      A safety-critical system comprising several interacting and software-intensive systems must be carefully analyzed to detect whether new functional requirements are needed to ensure safety. This involves an analysis of the ...

    • A Comparison of Hazardous Scenarios in Architectures with Different Integration Types 

      Zikrullah, Nanda Anugrah; van der Meulen, Meine; Skofteland, Gunleiv; Lundteigen, Mary Ann (Chapter, 2020)
      Whether or not to allow some integration between process control and safety systems has been an ongoing debate amongst safety researchers and practitioners. The principle of keeping it simple and the principle of having ...

    • Comparison of KVP and RSI for Controlling KUKA Robots Over ROS 

      Arbo, Mathias Hauan; Eriksen, Ivar; Sanfilippo, Filippo; Gravdahl, Jan Tommy (Peer reviewed; Journal article, 2020)
      In this work, an open-source ROS interface based on KUKAVARPROXY for control of KUKA robots is compared to the commercial closed-source Robot Sensor Interface available from KUKA. This comparison looks at the difference ...

    • Comparison of Nonlinearity Measures based on Time Series Analysis for Nonlinearity Detection 

      Hosseini, SeyedMehrdad; Johansen, Tor Arne; Fatehi, A (Journal article; Peer reviewed, 2011)
      The main purpose of this paper is a study of the efficiency of different nonlinearity detection methods based on time-series data from a dynamic process as a part of system identification. A very useful concept in measuring ...

    • Comparison of statistical iceberg forecast models 

      Andersson, Leif Erik; Scibilia, Francesco; Copland, Luke; Imsland, Lars Struen (Journal article; Peer reviewed, 2018)
      Short-term iceberg drift prediction is challenging. Large uncertainties in the driving forces – current, wind and waves – usually prevent accurate forecasts. Recently several statistical iceberg forecast models have been ...

    • Comparison of two second-order sliding mode control algorithms for an articulated intervention-AUV: Theory and experimental results 

      Borlaug, Ida-Louise Garmann; Pettersen, Kristin Ytterstad; Gravdahl, Jan Tommy (Peer reviewed; Journal article, 2021)
      An articulated intervention autonomous underwater vehicle (AIAUV) is a slender, multi-articulated underwater robot. Accurate trajectory tracking is essential for AIAUV operations. Furthermore, due to hydrodynamic and ...

    • Compensation for wave motion in dynamic positioning of autonomous vessels 

      Halvorsen, Håkon Skogland (Master thesis, 2020)
      Abstract will be available on 2023-06-21

    • Compensation of navigation uncertainty for target tracking on a moving platform 

      Wilthil, Erik Falmår; Brekke, Edmund Førland (Proceedings of the 19th International Conference on Information Fusion, Institute of Electrical and Electronics Engineers (IEEE);, Chapter, 2016)
      Established state-of-the art methods for target tracking assume perfect knowledge of the sensor position and orientation. This assumption is violated when the tracking sensor is mounted on a moving platform such as a ship. ...

    • Compensation of Wave-Induced Motion for Marine Crane Operations 

      Eikeland, Frode Nymark (Master thesis, 2008)
      Most of the systems considering wave synchronization in the literature are concerned with moon pool operations. The objective of this thesis is to transition the existing knowledge from some of that work into marine cranes ...

    • Complexity Reduction in Explicit Model Predictive Control 

      Munir, Sarmad (Doctoral theses at NTNU;2018:205, Doctoral thesis, 2018)
      The thesis is focused on low complexity constrained control systems. Model Predictive Control (MPC) has been huge success for constrained control due to its ability to handle input, state and output constraints. It is not ...

    • Complexity reduction in motion cueing algorithm for the ULTIMATE driving simulator 

      Munir, Sarmad; Hovd, Morten; Fang, Zhou; Olaru, Sorin; Kemeny, Andras (Journal article, 2017)
      The performance of a driving simulator depends on the efficiency of the embedded motion cueing algorithm. An explicit model predictive control was established recently as a pertinent design framework for the motion cueing ...

    • Compliant Control of the Body Shape of Snake Robots 

      Liljebäck, Pål; Pettersen, Kristin Ytterstad; Stavdahl, Øyvind; Gravdahl, Jan Tommy (Journal article; Peer reviewed, 2014)
      This paper presents a general motion planning framework for body shape control of snake robots. We demonstrate the applicability of the framework for straight line path following control, and for implementing body shape ...

    • Composable distributed real-time systems with deterministic network channels 

      Austad, Henrik; Jellum, Erling Rennemo; Hendseth, Sverre; Mathisen, Geir; Bryne, Torleiv Håland; Gregertsen, Kristoffer Nyborg; Albrektsen, Sigurd Mørkved; Helvik, Bjarne Emil (Peer reviewed; Journal article, 2023)

    • Compositional Finite-Time Stability Analysis of Nonlinear Systems 

      Tabatabaeipour, S. Mojtaba; Blanke, Mogens (Chapter; Peer reviewed, 2014)
      This paper, investigates finite-time stability and finite-time boundedness for nonlinear systems with polynomial vector fields. Finite-time stability requires the states of the system to remain a given bounded set in a ...

    • Compressor Surge Control Design Using Linear Matrix Inequality Approach 

      Uddin, Nur; Gravdahl, Jan Tommy (Chapter, 2017)
      A novel design for active compressor surge control system (ASCS) using linear matrix inequality (LMI) approach is presented and including a case study on piston-actuated active compressor surge control system (PAASCS). The ...

    • Compressor Surge Control Using Lyapunov Neural Networks 

      Neverlien, Åse; Moe, Signe; Gravdahl, Jan Tommy (Peer reviewed; Journal article, 2020)
      In this paper surge control in a compression system using a close-coupled valve (CCV) is proposed. The control design is based on Lyapunov control theory in combination with neural networks (NNs) and focuses on minimization ...

    • Computer vision as an alternative for collision detection 

      Drangsholt, Marius Aarvik (Master thesis, 2015)
      The goal of this thesis was to implement a computer vision system on a low power platform, to see if that could be an alternative for a collision detection system. To achieve this, research into fundamentals in computer ...

    • Computer vision based path tracking for a small-scale electric truck model with dynamic or static wireless charging 

      Jørgensen, Mats (Master thesis, 2021)
      Fossildrevet tungtransport genererer betydelige utslipp av NOx og klimagasser som CO2. I Norge forventes tungtransport å øke med 65 prosent innen 2050, men Norge har som mål å redusere klimagassutslippene med 80 til 95 ...

    • Computer Vision Based Pose Estimation for Auto Docking System 

      Bjørnsen, Tord Sjeggestad (Master thesis, 2019)
      Denne masteroppgaven presenterer utviklingen av et komplett, datasynbasert, posisjons- og orienteringsestimeringssystem. Systemet er utviklet spesielt for bruk på små ferger som går over fjorder og innsjøer. Systemet kan ...

    • Computer Vision For Aimpoint Tracking In Biathlon 

      Haug, Bjørn-Ivar Bogfjellmo (Master thesis, 2018)
      The purpose of this thesis was to look at the development of a computer vision system for aimpoint tracking in biathlon. It s desired to develop a system that tracks the Point-of-Aim of the biathlete in order to give ...