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


Other title
event triggered control
event triggered optimization
event triggered estimation
Type of item
Degree grantor
University of Alberta
Author or creator
Meng, Xiangyu
Supervisor and department
Chen, Tongwen (Electrical and Computer Engineering)
Examining committee member and department
Li, Zukui (Chemical and Materials Engineering)
Xie, Lihua (Electrical and Electrical Engineering, Nanyang Technological University)
Chen, Tongwen (Electrical and Computer Engineering)
Ardakani, Masoud (Electrical and Computer Engineering)
Marquez, Horacio (Electrical and Computer Engineering)
Zhao, Qing (Electrical and Computer Engineering)
Huang, Biao (Chemical and Materials Engineering)
Department of Electrical and Computer Engineering
Control Systems
Date accepted
Graduation date
Doctor of Philosophy
Degree level
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.
Permission is hereby granted to the University of Alberta Libraries to reproduce single copies of this thesis and to lend or sell such copies for private, scholarly or scientific research purposes only. Where the thesis is converted to, or otherwise made available in digital form, the University of Alberta will advise potential users of the thesis of these terms. The author reserves all other publication and other rights in association with the copyright in the thesis and, except as herein before provided, neither the thesis nor any substantial portion thereof may be printed or otherwise reproduced in any material form whatsoever without the author's prior written permission.
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