Use this URL to cite or link to this record in EThOS: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.617481
Title: Analytic function methods for nonparametric control
Author: Chen, Ming-Yen
Awarding Body: University of Liverpool
Current Institution: University of Liverpool
Date of Award: 2013
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Abstract:
This thesis develops and investigates analytic function methods for nonparametric analysis and design of robust control linear systems. Compared to the parametric approaches, nonparametric approaches may enable the designer to directly use the experimental plant data to design the controller. Nonparametric approaches are potentially more accurate than parametric approaches since they do not need to make significant approximations due to parametric fittings. Moreover, since no parametric identification is required, nonparametric approaches are able to cope with time-delayed and differential difference systems. The design procedure process may also require less human judgement and so may be quicker and more readily automated. In this thesis, nonparametric approaches to control based on H-infinity analytic function theory is presented. It is the main purpose of this thesis to investigate the use of analytic function methods in H-infinity control problems. The implementation of the analytic methods and their applications are both addressed in the thesis.
Supervisor: Shenton, Tom; Ouyang, Huajiang Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.617481  DOI: Not available
Keywords: TA Engineering (General). Civil engineering (General)
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