State Estimation for a Class of Fractional-Order Linear Systems by the Generalized Modulating Functions Method

被引:0
|
作者
Liu, Chang [1 ]
Liu, Dayan [2 ]
Boutat, Driss [2 ]
Wang, Yong [1 ]
机构
[1] Univ Sci & Technol China, Dept Automat, Hefei 230026, Peoples R China
[2] Univ Orleans, PRISME EA 4229, INSA Ctr Val Loire, F-18022 Bourges, France
基金
中国国家自然科学基金;
关键词
state estimation; generalized modulating functions method; fractional-order systems;
D O I
10.1109/ICSC57768.2022.9993949
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper investigates a new way of estimating the state of a class of fractional-order linear systems. Based on the generalized modulating functions method, the proposed estimator is non-asymptotic and robust against noises. First, the system is transformed into the observable normal form before being converted into the input-output differential equation, on which the generalized modulating functions method is applied. Then, the state variables are obtained by calculating a group of initial values and output integrals, which are all provided by algebraic integral formulas. Finally, to illustrate the performance of the proposed method, a numerical simulation example is provided.
引用
收藏
页码:60 / 65
页数:6
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