Harrison, R.F. (2001) Asymptotically Optimal Stabilizing Quadratic Control of an Inverted Pendulum. Research Report. ACSE Research Report 824 . Department of Automatic Control and Systems Engineering
Abstract
A new method for the design and synthesis of near-optimal, non linear control law is examined, based on a generalisation of LQ optimal control theory and which effectively provides a near-optimal gain schedule. The method is simple to apply and affords greater design flexibility (via state-dependent weighting) than conventional approaches. The resulting regulator can, in principle, be implemented in real-time owing to the casual nature of the required computations. However, the need to solve an algebraic Riccati equation at every time- point is burdensome and a number of algorithms that would permit parallel computation is discussed. The problem of stabilizing an inverted pendulum is used to illustrate the method and proves an exacting task that highlights a number of issues.
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: | 02 Feb 2015 11:34 |
Last Modified: | 27 Oct 2016 06:08 |
Status: | Published |
Publisher: | Department of Automatic Control and Systems Engineering |
Series Name: | ACSE Research Report 824 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:83217 |