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Online Algebraic Identification Approach of Continuous Linear Time Delay Systems
Author(s) -
Mhamdi Abdelbacet,
Ibn Taarit Kaouther,
Ksouri Moufida
Publication year - 2018
Publication title -
asian journal of control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.769
H-Index - 53
eISSN - 1934-6093
pISSN - 1561-8625
DOI - 10.1002/asjc.1547
Subject(s) - robustness (evolution) , algebraic number , control theory (sociology) , sigmoid function , identification (biology) , convolution (computer science) , computer science , constant (computer programming) , transient response , process (computing) , system identification , mathematics , mathematical optimization , engineering , data modeling , artificial intelligence , mathematical analysis , botany , control (management) , biology , biochemistry , chemistry , database , artificial neural network , electrical engineering , gene , programming language , operating system
In this paper, we propose an online algebraic method to identify linear continuous time delay process from step response, in presence of unknown initial state and constant load disturbance. The identification mechanism is split into two sequential steps. The time delay and dynamic of the plant is estimated firstly through a spectral formulation. In the next stage, the transient regime is deduced from a linear regression. To improve the robustness of the proposed method, a local convolution by sigmoid function is proposed. Simulation results are provided, at last, to show the effectiveness of our conceived approach.