On the linear quadratic data-driven control
Markovsky, Ivan and Rapisarda, Paolo (2007) On the linear quadratic data-driven control. In, European Control Conference (ECC'07), Kos, Greece, 02 - 05 Jul 2007.
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Description/Abstract
The classical approach for solving control problems is model based: first a model representation is derived from given data of the plant and then a control law is synthesized using the model and the control specifications. We present an alternative approach that circumvents the explicit identification of a model representation. The considered control problem is finite horizon linear quadratic tracking. The results are derived assuming exact data and the optimal trajectory is constructed off-line.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Additional Information: | Event Dates: July 2-5, 2007 |
| Divisions: | Faculty of Physical and Applied Science > Electronics and Computer Science > Comms, Signal Processing & Control |
| Item ID: | 264820 |
| Date Deposited: | 13 Nov 2007 16:05 |
| Last Modified: | 01 Mar 2012 19:34 |
| Contributors: | Markovsky, Ivan (Author) Rapisarda, Paolo (Author) |
| Date: | July 2007 |
| Additional Information: | Event Dates: July 2-5, 2007 |
| Status: | Published |
| Further Information: | Google Scholar |
| URI: | http://eprints.soton.ac.uk/id/eprint/264820 |
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