A new bias-compensating least-squares method for continuous-time MIMO system identification applied to a laboratory-scale process

H. Garnier, P. Sibille, H. Nguyen
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引用次数: 4

Abstract

This paper presents a new bias-compensating least-squares method for the identification of continuous-time transfer function matrix model of multi-input multi-output (MIMO) systems. The proposed method uses the generalised Poisson moment functional approach for handling time derivatives and is applied to the identification of a laboratory-scale process which simulates industrial material transport control problems. Model validation results show the potentiality of the proposed method in practical applications.<>
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一种新的偏差补偿最小二乘方法用于连续多输入多输出系统辨识
提出了一种新的多输入多输出(MIMO)系统连续时间传递函数矩阵辨识的偏置补偿最小二乘方法。提出的方法使用广义泊松矩泛函方法来处理时间导数,并应用于模拟工业材料运输控制问题的实验室规模过程的识别。模型验证结果表明了该方法在实际应用中的潜力
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