Constrained feedback RMPC for LPV systems with bounded rates of parameter variations and measurement errors. (2012)
- Record Type:
- Journal Article
- Title:
- Constrained feedback RMPC for LPV systems with bounded rates of parameter variations and measurement errors. (2012)
- Main Title:
- Constrained feedback RMPC for LPV systems with bounded rates of parameter variations and measurement errors
- Authors:
- Zheng, Pengyuan
Li, Dewei
Xi, Yugeng - Abstract:
- For Linear Parameter Varying (LPV) systems with bounded rates of parameter variations and bounded parameter measurement errors, a feedback Robust Model Predictive Control (RMPC) is designed by utilising the information on system parameters. A sequence of feedback control laws is designed based on the model with parameter-incremental uncertainty. Since the sequence of feedback control laws corresponds to the future variations of system parameters and introduces additional freedom, the control performance of RMPC can be improved. The recursive feasibility and closed-loop stability of the proposed RMPC are also proven.
- Is Part Of:
- International journal of system control and information processing. Volume 1:Number 2(2012)
- Journal:
- International journal of system control and information processing
- Issue:
- Volume 1:Number 2(2012)
- Issue Display:
- Volume 1, Issue 2 (2012)
- Year:
- 2012
- Volume:
- 1
- Issue:
- 2
- Issue Sort Value:
- 2012-0001-0002-0000
- Page Start:
- 164
- Page End:
- 175
- Publication Date:
- 2012
- Subjects:
- feedback RMPC -- LPV systems -- bounded rates -- parameter variations -- measurement errors
System design -- Data processing -- Periodicals
Information technology -- Periodicals
003.5 - Journal URLs:
- http://www.inderscience.com/jhome.php?jcode=ijscip#issue ↗
http://www.inderscience.com/ ↗ - Languages:
- English
- ISSNs:
- 1759-9334
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
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