The Study of Real-Time Model Order Identification and Parameter Estimation for Linear Systems
碩士 === 國立高雄應用科技大學 === 化學工程與材料工程系 === 99 === In the paper, the technique of adaptive control is used for real-time model order identification and parameter estimation for linear time-invariant systems. At first, we use central difference to approximate the differential operator. And then the regressi...
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2011
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| Online Access: | http://ndltd.ncl.edu.tw/handle/08736653501992234302 |
| Summary: | 碩士 === 國立高雄應用科技大學 === 化學工程與材料工程系 === 99 === In the paper, the technique of adaptive control is used for real-time model order identification and parameter estimation for linear time-invariant systems. At first, we use central difference to approximate the differential operator. And then the regression model of the controlled process is derived and the model parameters are obtained by the real-time recursive least square algorithm. To identify the model order, the continued fraction expansion (CFE) of the Cauer second form is first used to represent the preset process model and the exact process model is then obtained by the truncated CFE. The simulation results by Matlab/Simulink software that the proposed method is able to quickly identify the model order and parameters of the controlled process.
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