Abstracts – Browse Results
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Ahmad, A G B (1994) Conservation of British colonial buildings built between 1800 and 1930 in Malaysia, Unpublished PhD Thesis, , University of Sheffield.
Ahmed, A L (2019) Development of conceptual constructs for organisational BIM adoption and their systematic application within the UK architecture sector, Unpublished PhD Thesis, School of Architecture, University of Sheffield.
Al-Sedairy, S (1984) Large scale projects: management, design and execution, Unpublished PhD Thesis, School of Architecture, University of Sheffield.
Al-Wareh, M (1979) Investigation of the design procedures for buildings of quality in modern architecture, with notes on the relevant contemporary situation in Syria, Unpublished PhD Thesis, , University of Sheffield.
Andrade de Alencar Loiola, F (2014) The formulation of Public-Private Partnership projects for infrastructure development in Brazil: an institutional analysis of the Municipality of Fortaleza, Unpublished PhD Thesis, , University of Sheffield.
Belhadj, T A (1989) Computer-aided architectural evaluation and design: a cost modelling experiment, Unpublished PhD Thesis, School of Architecture, University of Sheffield.
Brocklesby, M (1999) The environmental impact of frame materials: an assessment of the embodied impacts for building frames in the UK construction industry, Unpublished PhD Thesis, Department of Civil and Structural Engineering, University of Sheffield.
Buckman, A H (2016) An exploration of the applications of increased information availability in smart buildings, Unpublished PhD Thesis, , University of Sheffield.
Butchers, A M (2004) Learning off the job: engineers and professional education, Unpublished PhD Thesis, , University of Sheffield.
Densley Tingley, D (2013) Design for deconstruction: an appraisal, Unpublished PhD Thesis, , University of Sheffield.
Donohoe, S W (2008) Can surveying and construction management undergraduate sudents' attitudes to construction law be changed by changes in teaching?, Unpublished PhD Thesis, , University of Sheffield.
Eccles, S D (2000) Quantitative evaluation of contract strategies for construction, Unpublished PhD Thesis, Department of Civil and Structural Engineering, University of Sheffield.
Fletcher, S L (2001) Developing disassembly strategies for buildings to reduce the lifetime environmental impacts by applying a systems approach, Unpublished PhD Thesis, School of Architecture, University of Sheffield.
Gillott, C (2022) Potential for the vertical extension of existing buildings, Unpublished PhD Thesis, , University of Sheffield.
Gyoh, L E (1999) Design-management and planning for photovoltaic cladding systems within the UK construction industry: An optimal and systematic approach to procurement and installation of building integrated photovoltaics: An agenda for the 21st century, Unpublished PhD Thesis, , University of Sheffield.
Hamed, O (2022) Developing a BIM-based tool to automate green buildings assessment: the case of Jordan Green Building Guide, Unpublished PhD Thesis, , University of Sheffield.
Hughes, A J (2022) On risk-based decision-making for structural health monitoring, Unpublished PhD Thesis, , University of Sheffield.
Ibarra, G (2016) The meaning of 'social' in Mexican social housing: A study of housing developments in Mazatlán, Mexico, Unpublished PhD Thesis, , University of Sheffield.
Jiang, H (2019) An institutional analysis of the green housing transition in China: examining developers' capacity to deliver green housing in the Chinese housing market, Unpublished PhD Thesis, Department of Urban Studies and Planning, University of Sheffield.
Li, S (2018) Knowledge domains and skills that facilitate knowledge sharing in project management: a case study in the Chinese construction industry, Unpublished PhD Thesis, Information School, University of Sheffield.
Morland, K V (2020) Multi-level learning of a quality management routine: a UK housebuilder case study, Unpublished PhD Thesis, Management School, University of Sheffield.
Nguyen, B K (2012) Developing a framework for assessing sustainability of tall-building projects, Unpublished PhD Thesis, , University of Sheffield.
Palit, N (2017) Analysis of the project supply chains: coordination and fair allocation, Unpublished PhD Thesis, Management School, University of Sheffield.
Pirooz Far Poorang, A E (2008) Mass-constomisation: The application on design, fabrication and implementation (DFI) processes of building envelopes, Unpublished PhD Thesis, , University of Sheffield.
Price, D A (2003) Community involvement in the design of social housing, Unpublished PhD Thesis, Department of Town and Regional Planning, University of Sheffield.
Sami Kashkooli, A M (2013) A critical building lifecycle assessment framework for building designers and decision makers, Unpublished PhD Thesis, School of Architecture, University of Sheffield.
Sanusi, I E (2019) Optimal and adaptive control frameworks using reinforcement learning for time-varying dynamical systems, Unpublished PhD Thesis, Department of Automatic Control and Systems Engineering, University of Sheffield.
- Type: Thesis
- Keywords: artificial intelligence; computing; control system; learning; liability; maintenance management; optimisation; reliability; safety; variations
- ISBN/ISSN:
- URL: http://etheses.whiterose.ac.uk/26983/
- Abstract:
Performance of complex propulsion and power systems are affected by a vast number of varying factors such as gradual system degradation, engine build differences and changing operating conditions. Owing to these variations, prior characterisation of the system performance metrics such as fuel efficiency function and constraints is infeasible. Existing model-based control approaches are therefore inherently conservative at the expense of the system performance as they are unable to fully characterise the system variations. The system performance characteristics affected by these variations are typically used for health monitoring and maintenance management, but the opportunities to complement the control design have received little attention. It is therefore increasingly important to use the information about the system performance characteristics in the control system design whilst considering the reliability of its implementation. This thesis therefore considers the design of direct adaptive frameworks that exploit emerging diagnostic technologies and enable the direct use of complex performance metrics to deliver self-optimising control systems in the face of disturbances and system variations. These frameworks are termed condition-based control techniques and this thesis extends reinforcement learning (RL) theory which has achieved significant successes in the area of computing and artificial intelligence to the new frameworks and applications. Consequently, an online RL framework was developed for the class of complex propulsion and power systems that make use of the performance metrics to directly learn and adapt the system control. The RL adaptations were further integrated into existing baseline controller structures whilst maintaining the safety and reliability of the underlying system. Furthermore, two online optimal RL tracking control frameworks were developed for time-varying dynamical systems that use a new augmented formulation with integral control. The proposed online RL frameworks advance the state-of-the-art for use in tracking control applications by not making restrictive assumptions on reference model dynamics or use of discounted tracking costs, and guaranteeing zero steady-state tracking error. Finally, an online power management optimisation scheme for hybrid systems that uses a condition-based RL adaptation was developed. The proposed power management optimisation scheme is able to learn and compensate for the gradual system variations and learn online the optimal power management strategy between the hybrid power source given future load predictions. This way, improved system performance is delivered and providing a through-life adaptation strategy.