Dynamic Relative Gain Array Estimation using Local Polynomial Approximation Approach
| Autor: | Ali M. H. Kadhim, Miguel Castaño Arranz, Wolfgang Birk |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
0209 industrial biotechnology
Polynomial Mathematical optimization 020208 electrical & electronic engineering 02 engineering and technology Control Engineering lcsh:QA75.5-76.95 Computer Science Applications Dynamic Relative Gain Array local polynomial approximation approach Matrix (mathematics) 020901 industrial engineering & automation Control and Systems Engineering Reglerteknik Modeling and Simulation 0202 electrical engineering electronic engineering information engineering Applied mathematics lcsh:Electronic computers. Computer science Relative gain array nonparametric identification Software Mathematics weakly nonlinear systems |
| Zdroj: | Modeling, Identification and Control, Vol 37, Iss 4, Pp 247-259 (2016) Modeling, Identification and Control: A Norwegian Research Bulletin |
| ISSN: | 1890-1328 0332-7353 |
| Popis: | This article presents a procedure that utilizes the local polynomial approximation approach in the estimation of the Dynamic Relative Gain Array (DRGA) matrix and its uncertainty bounds for weakly nonlinear systems. This procedure offers enhanced frequency resolution and noise reduction when random excitation is used. It also allows separation of nonlinear distortions with shorter measuring time when multisine excitation is imposed. The procedure is illustrated using the well-known quadruple tank process as a case study in simulation and in real life. Besides, a comparison with the pairing results of the static RGA, nonlinear RGA and DRGA based on linearized quadruple tank model for different simulation cases is performed. Validerad; 2017; Nivå 2; 2017-02-03 (andbra) Integrated Process Control based on Distributed In-Situ Sensors into Raw Material and Energy Feedstock, DISIRE OPTi Optimisation of District Heating Cooling systems, OPTi |
| Databáze: | OpenAIRE |
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