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Thesis

Robust and stochastic receding horizon control

Abstract:

Chance constraints, unlike robust constraints, allow constraint violation up to some predefined level and arise in numerous applications. They are often imposed in a pointwise-in-time fashion in control problems. This thesis considers a class of chance constraints imposed in an average-in-time fashion to focus more on aggregate behaviours and discounted to achieve trade-offs between short-term and long-term performance in the model predictive control (MPC) framework.

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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Sub department:
Engineering Science
Research group:
Control Group
Oxford college:
Wolfson College
Role:
Author
ORCID:
0000-0002-0701-3723

Contributors

Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Sub department:
Engineering Science
Research group:
Control Group
Oxford college:
St John's College
Role:
Supervisor
ORCID:
0000-0003-2189-7876
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Sub department:
Engineering Science
Research group:
Control Group
Oxford college:
St Edmund Hall
Role:
Supervisor
ORCID:
0000-0002-0456-4124
Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
University of Oxford

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