IJPAM: Volume 86, No. 2 (2013)
SETTING CONTROLLER PARAMETERS THROUGH
A MINIMUM STRATEGY WITH A WEIGHTED
LEAST SQUARES METHOD
A MINIMUM STRATEGY WITH A WEIGHTED
LEAST SQUARES METHOD
Paolo Mercorelli
Institute of Product and Process Innovation
Leuphana University of Lueneburg
Volgershall 1, D-21339 Lueneburg, GERMANY
Institute of Product and Process Innovation
Leuphana University of Lueneburg
Volgershall 1, D-21339 Lueneburg, GERMANY
Abstract. This paper presents a feasible real time self-tuning of a controller. The main contribution of this paper consists of presenting a minimum variance control strategy together with a weighted least squares method to adapt the parameters of this approximated controller. Robustness in the proposed loop control is achieved. For that the technique is quite general and can be applied to any kind of system.
Received: June 4, 2013
AMS Subject Classification: 62j05, 93E24, 49K15
Key Words and Phrases: linear regression, least squares method, computational methods
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DOI: 10.12732/ijpam.v86i2.18 How to cite this paper?
Source: International Journal of Pure and Applied Mathematics
ISSN printed version: 1311-8080
ISSN on-line version: 1314-3395
Year: 2013
Volume: 86
Issue: 2
