摘要
This paper proposes a recursive least squares algorithm for a nonlinear additive system with time delay.By the Weierstrass approximation theorem and the key term separation principle, the model can be simplified as an identification model. Based on the identification model, a recursive least squares identification algorithm is used to estimate all the unknown parameters of the time-delayed additive system. An example is provided to show the effectiveness of the proposed algorithm.
This paper proposes a recursive least squares algorithm for a nonlinear additive system with time delay.By the Weierstrass approximation theorem and the key term separation principle, the model can be simplified as an identification model. Based on the identification model, a recursive least squares identification algorithm is used to estimate all the unknown parameters of the time-delayed additive system. An example is provided to show the effectiveness of the proposed algorithm.
基金
the National Natural Science Foundation of China(No.61403165)
the Natural Science Foundation of Jiangsu Province(Nos.BK20131109 and BK20141115)
the Project of Philosophy and Social Science Research in Colleges and Universities in Jiangsu Province(No.2014SJD381)
the Post Doctoral Foundation of Jiangsu Province(No.1501015A)
