一类系统参数辨识的按段多重一般正交多项式方法

PIECEWISE MULTIPLE GENERAL ORTHOGONAL POLYNOMIALS METHOD TO PARAMETER IDENTIFICATION FOR A CLASS OF SYSTEM

  • 摘要: 本文介绍了按段多重一般正交多项式系及其基本性质,并把它们应用于参数可分离系统的参数辨识.由于采用了按段低阶正交多项式多重逼近技术,该方法具有计算量少、结果精度高、可递推计算及不需要被辨识参数的初始估计等优点.本文提出了两个算法,并成功地应用于发酵过程细菌生长动力学模型的参数辨识.

     

    Abstract: This paper introduces a serics of piecewise multiple general orthogonal polynomials,presents and demonstrates its basic properties and applies them to parameter identification for parameter separable systems.Due to the use of approximation technique by piecewise multiple low order orthogonal polynomials,the method manifests the following advantages:the amount of computation is little,the accuracy of results is high,it can be recurrently calculated and the algorithms do not need the initial estimation of the estimated parameters.Two algorithms have been presented and successfully applied to parameter identification for bacteria growth dynamic model of fermentation process.

     

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