Usage
  • 23 views
  • 25 downloads

Event-based State Estimation in Cyber-Physical Systems

  • Author / Creator
    Shi, Dawei
  • This thesis focuses on event-based state estimation problems in the context of cyber-physical systems (CPSs), targeting at low-complexity event-based state estimators that are optimal in a certain sense. The motivation stems from the resource limitations in the applications of CPSs (e.g., wireless sensor networks) as well as the increased computation burden in calculating the optimal state estimates caused by the event-triggering conditions. Several event-based estimation problems are formulated and solved using different approaches, including the maximum likelihood estimation approach, the approximate Gaussian filtering approach, the set-valued Kalman filtering approach and the change of probability measure approach. For all these investigations, optimal state estimates with simple structures that can be recursively calculated are obtained, which form the major contributions of this thesis. Also, the performance improvements in the sense of average estimation errors by exploiting the information contained in the event-triggering conditions are addressed either by theoretical proofs or extensive numerical simulations. Several results on communication rate analysis are proposed, which are relevant and necessary for event-based estimation, considering the potential communication resource limitations in CPSs. Based on the developed results, the outcome of the research attempts on event-based estimation is encouraging, and a distinct and systematic approach to event-based estimation seems on the horizon. The results are not only of theoretical value, but are potentially implementable to a variety of applications in industrial processes, due to the practical considerations in both the problem formulations and the design procedures.

  • Subjects / Keywords
  • Graduation date
    2014-11
  • Type of Item
    Thesis
  • Degree
    Doctor of Philosophy
  • DOI
    https://doi.org/10.7939/R31T26
  • License
    This thesis is made available by the University of Alberta Libraries with permission of the copyright owner solely for non-commercial purposes. This thesis, or any portion thereof, may not otherwise be copied or reproduced without the written consent of the copyright owner, except to the extent permitted by Canadian copyright law.
  • Language
    English
  • Institution
    University of Alberta
  • Degree level
    Doctoral
  • Department
    • Department of Electrical and Computer Engineering
  • Specialization
    • Control Systems
  • Supervisor / co-supervisor and their department(s)
    • Chen, Tongwen (Electrical and Computer Engineering)
  • Examining committee members and their departments
    • Chen, Tongwen (Electrical and Computer Engineering)
    • Zhao, Qing (Electrical and Computer Engineering)
    • Liu, Jinfeng (Chemical and Materials Engineering)
    • Marquez, Horacio (Electrical and Computer Engineering)
    • Tavakoli, Mahdi (Electrical and Computer Engineering)
    • Zhou, Kemin (Electrical and Computer Engineering, Louisiana State University)