Dang, H. and Owens, D.H. (2004) Adaptive MIMO Multi-periodic Repetitive Control System: Liapunov Analysis. UNSPECIFIED. ACSE Research Report 853 . Department of Automatic Control and Systems Engineering
Abstract
This paper presents a simple feed forward adaptive plus multi-periodic repetitive control scheme for the ASPR (Almost Strictly Positive Real) or ASNR (Almost Strictly Negative Real, see Appendix for definition) plant to asymptotically track or reject multi-periodic reference or disturbance signals. The Liapunov stability analysis is given. This is an extension work of the Liapunov stability analysis for multi-periodic repetitive control system under a positive real condition. A simulation is included. The extension of the Liapunov stability analysis to ASPR or ASNR plant under certain nonlinear perturbations and an exponential stability scheme are discussed as well. Finally, an adaptive proportional plus MRC (multi-periodic repetitive control) scheme is proposed.
Metadata
Item Type: | Monograph |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | The Department of Automatic Control and Systems Engineering research reports offer a forum for the research output of the academic staff and research students of the Department at the University of Sheffield. Papers are reviewed for quality and presentation by a departmental editor. However, the contents and opinions expressed remain the responsibility of the authors. Some papers in the series may have been subsequently published elsewhere and you are advised to cite the later published version in these instances. |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield) > ACSE Research Reports |
Depositing User: | MRS ALISON THERESA BARNETT |
Date Deposited: | 13 Apr 2015 10:30 |
Last Modified: | 29 Mar 2018 00:08 |
Status: | Published |
Publisher: | Department of Automatic Control and Systems Engineering |
Series Name: | ACSE Research Report 853 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:84882 |