A constrained optimisation approach for designing reliable robust H∞ control systems

This research addresses passive fault-tolerant control problems for linear uncertain systems via reliable state feedback and output feedback robust H∞ controllers. Structured uncertainties considered are required to satisfy integral quadratic constraints. These controllers are to obtain an absolutel...

Full description

Bibliographic Details
Main Author: Sim, Hua Heng Allan
Format: Thesis
Language:English
Published: Curtin University 2016
Online Access:http://hdl.handle.net/20.500.11937/2626
_version_ 1848744005686263808
author Sim, Hua Heng Allan
author_facet Sim, Hua Heng Allan
author_sort Sim, Hua Heng Allan
building Curtin Institutional Repository
collection Online Access
description This research addresses passive fault-tolerant control problems for linear uncertain systems via reliable state feedback and output feedback robust H∞ controllers. Structured uncertainties considered are required to satisfy integral quadratic constraints. These controllers are to obtain an absolutely stable closed-loop system with a specified disturbance attenuation level. Solutions to these control problems involve solving parameterised Riccati equation(s). A feasible set of parameters used to solve the Riccati equation(s) is computed using a differential evolution algorithm.
first_indexed 2025-11-14T05:54:35Z
format Thesis
id curtin-20.500.11937-2626
institution Curtin University Malaysia
institution_category Local University
language English
last_indexed 2025-11-14T05:54:35Z
publishDate 2016
publisher Curtin University
recordtype eprints
repository_type Digital Repository
spelling curtin-20.500.11937-26262017-02-20T06:37:57Z A constrained optimisation approach for designing reliable robust H∞ control systems Sim, Hua Heng Allan This research addresses passive fault-tolerant control problems for linear uncertain systems via reliable state feedback and output feedback robust H∞ controllers. Structured uncertainties considered are required to satisfy integral quadratic constraints. These controllers are to obtain an absolutely stable closed-loop system with a specified disturbance attenuation level. Solutions to these control problems involve solving parameterised Riccati equation(s). A feasible set of parameters used to solve the Riccati equation(s) is computed using a differential evolution algorithm. 2016 Thesis http://hdl.handle.net/20.500.11937/2626 en Curtin University fulltext
spellingShingle Sim, Hua Heng Allan
A constrained optimisation approach for designing reliable robust H∞ control systems
title A constrained optimisation approach for designing reliable robust H∞ control systems
title_full A constrained optimisation approach for designing reliable robust H∞ control systems
title_fullStr A constrained optimisation approach for designing reliable robust H∞ control systems
title_full_unstemmed A constrained optimisation approach for designing reliable robust H∞ control systems
title_short A constrained optimisation approach for designing reliable robust H∞ control systems
title_sort constrained optimisation approach for designing reliable robust h∞ control systems
url http://hdl.handle.net/20.500.11937/2626