Robust Control of Networked Control Systems with Random Communication Delays
type: CreativeWork
description: Networked control systems (NCSs) refer to a class of systems where the components such as plants, sensors, actuators and controllers are connected via a communication network. This configuration provides several advantages over the traditional point-topoint structure such as modularity, ease of maintenance and low construction cost. NCSs enable several practical applications such as unmanned aerial vehicle and remote control of the plant, which are difficult to achieve with the traditional point-to-point structure. The presence of network inevitably, however, introduces delays and data loss as signals travel through the network, meaning that the controllers in NCSs are to stabilize the system while overcoming the adverse effects caused by the presence of the network. As continuous signals are transmitted via a network, they are converted to clusters of data called packets and these packets of data are transmitted through the network. Hence, it is natural to consider the plant and the controller in discrete-time domain where new information about the systems components are available at each sampling instance. In this thesis, discrete-time representation of the plant is considered and the controller/filter design methodologies are developed based on Lyapunov-Krasovskii functional. The focus of the research is to develop controller and filter design methodologies for NCSs which takes the aforementioned network constraints into account. Hence the network needs to be modelled and taken into consideration when designing the controller/ filter. In particular, a finite state Markov chain is used in this research to model the network-induced delays and data loss where each mode in the Markov chain corresponds to the delays in the network. Difficulties of obtaining a completely known transition probability matrix, which describes the transitions between the modes of the Markov chain, in real world is acknowledged in this research and some of the elements in the transition pro…
abstract: Networked control systems (NCSs) refer to a class of systems where the components such as plants, sensors, actuators and controllers are connected via a communication network. This configuration provides several advantages over the traditional point-topoint structure such as modularity, ease of maintenance and low construction cost. NCSs enable several practical applications such as unmanned aerial vehicle and remote control of the plant, which are difficult to achieve with the traditional point-to-point structure. The presence of network inevitably, however, introduces delays and data loss as signals travel through the network, meaning that the controllers in NCSs are to stabilize the system while overcoming the adverse effects caused by the presence of the network. As continuous signals are transmitted via a network, they are converted to clusters of data called packets and these packets of data are transmitted through the network. Hence, it is natural to consider the plant and the controller in discrete-time domain where new information about the systems components are available at each sampling instance. In this thesis, discrete-time representation of the plant is considered and the controller/filter design methodologies are developed based on Lyapunov-Krasovskii functional. The focus of the research is to develop controller and filter design methodologies for NCSs which takes the aforementioned network constraints into account. Hence the network needs to be modelled and taken into consideration when designing the controller/ filter. In particular, a finite state Markov chain is used in this research to model the network-induced delays and data loss where each mode in the Markov chain corresponds to the delays in the network. Difficulties of obtaining a completely known transition probability matrix, which describes the transitions between the modes of the Markov chain, in real world is acknowledged in this research and some of the elements in the transition pro…
author: Chae, Seunghwan
license: https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm
date published: 2013
date modified: 2026-07-24T01:04:52Z
provider: University of Auckland
publisher: Networked Digital Library of Theses and Dissertations
type: WebPage
source organization: ResearchSpace@Auckland

PropertyValue
property ID: Handle
value: https://hdl.handle.net/2292/20818