Browsing by Subject "Kalman filter"

Browsing by Subject "Kalman filter"

Sort by: Order: Results:

  • Togni, Simone; Nikolaidis, Theoklis; Sampath, Suresh (Elsevier, 2020-06-18)
    The target of this paper is the performance-based diagnostics of a gas turbine for the automated early detection of components malfunctions. The paper proposes a new combination of multiple methodologies for the performance-based ...
  • Gibbs, Gerard; Jia, Huamin; Madani, Irfan (Elsevier, 2018-02-03)
    One of the basic tasks for autonomous flight with aerial vehicles (drones) is the detection of obstacles within its flight environment. As the technology develops and becomes more robust, drones will become part of the ...
  • Masuku, Anthony Dumisani (Cranfield University, 2012-05)
    This research will investigate the problem of position estimation for planetary rovers. Diverse algorithmic filters are available for collecting input data and transforming that data to useful information for the purpose ...
  • Makridis, Evagoras; Deliparaschos, Kyriakos; Kalyvianaki, Evangelia; Zolotas, Argyrios; Charalambous, Themistoklis (IEEE, 2020-01-15)
    We present robust dynamic resource allocation mechanisms to allocate application resources meeting Service Level Objectives (SLOs) agreed between cloud providers and customers. In fact, two filter-based robust controllers, ...
  • Shin, Hyo-Sang; He, Shaoming; Tsourdos, Antonios (Elsevier, 2020-08-08)
    This paper investigates the problem of distributed state estimation over a low-cost sensor network and proposes a new sample greedy gossip distributed Kalman filter. The proposed algorithm leverages the information weighted ...
  • Navarro, Daniel Vidal; Lee, Chang-Hun; Tsourdos, Antonios (Elsevier, 2019-11-25)
    This work develops a Sense and Avoid strategy based on a deep learning approach to be used by UAVs using only one electro-optical camera to sense the environment. Hybrid Convolutional and Recurrent Neural Networks (CRNN) ...