Distributed Event Triggered Control, Estimation, and Optimization for Cyber-Physical Systems

  • Author / Creator
    Meng, Xiangyu
  • A cyber-physical system (CPS) is a system in which computational systems interact with physical processes. Control systems in a CPS application often include algorithms that react to sensor data by issuing control signals via actuators to the physical components of the CPS. Communication over wireless networks is the most energy-consuming function performed by the cyber components of a CPS; thus communication frequencies need to be minimized. Event triggered communication has been recognized as an efficient means to reduce communication rates between different cyber components. In this thesis, event triggered schemes serve as a communication protocol to mediate data exchange in distributed control, estimation, and optimization for CPSs. Firstly, it is established that event triggered communication outperforms time triggered communication based on a finite time quadratic optimal control problem for first order stochastic systems. Secondly, it is demonstrated that event triggered impulse control still outperforms periodic impulse control for second order systems in terms of mean-square state variations, while both having the same average control rate. Thirdly, a synchronization problem is considered for multi-agent systems with distributed event triggered control updates. Given an undirected and connected network topology, conditions on the feedback gain, the triggering parameters and the maximum sampling period for solving the asymptotic synchronization problem are developed based on the feasibility of local linear matrix inequalities (LMIs). Fourthly, a distributed state estimation method is presented through wireless sensor networks with event triggered communication protocols among the sensors. Homogeneous detection criteria and consensus filters are designed to determine broadcasting instants and perform state estimation. Lastly, an event triggered communication scheme is used to investigate distributed optimization algorithms for a network utility maximization (NUM) problem. State-dependent thresholds are established under which the proposed event triggered barrier algorithm guarantees convergence to the optimal solution to the NUM problem.

  • Subjects / Keywords
  • Graduation date
  • Type of Item
  • Degree
    Doctor of Philosophy
  • DOI
  • 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
  • Institution
    University of Alberta
  • Degree level
  • 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)
    • Marquez, Horacio (Electrical and Computer Engineering)
    • Xie, Lihua (Electrical and Electrical Engineering, Nanyang Technological University)
    • Li, Zukui (Chemical and Materials Engineering)
    • Huang, Biao (Chemical and Materials Engineering)
    • Ardakani, Masoud (Electrical and Computer Engineering)