Identification of continuous-time systems with unknown time delays by global nonlinear least-squares method

2004 ◽  
Vol 37 (12) ◽  
pp. 191-196 ◽  
Author(s):  
Hideto Iemura ◽  
Zi-Jiang Yang ◽  
Shunshoku Kanae ◽  
Kiyoshi Wada
Keyword(s):  
Least Squares ◽  
Continuous Time ◽  
Time Delays ◽  
Least Squares Method ◽  
Nonlinear Least Squares ◽  
Continuous Time Systems ◽  
Nonlinear Least Squares Method ◽  
Unknown Time Delays ◽  
Time Systems

Identification of continuous-time systems with multiple unknown time delays

2017 ◽  
Vol 36 (4) ◽  
pp. 1310-1324
Author(s):  
Yamna Ghoul ◽  
Kaouther Ibn Taarit ◽  
Moufida Ksouri
Keyword(s):  
Continuous Time ◽  
Time Delays ◽  
Identification Algorithm ◽  
Optimal Method ◽  
Output Measurement ◽  
Content Type ◽  
Continuous Time Systems ◽  
Ct System ◽  
Unknown Time Delays ◽  
Time Systems

Purpose The purpose of this paper is to present a separable identification algorithm for a multiple-input single-output (MISO) continuous-time (CT) system. Design/methodology/approach This paper proposes an optimal method for the identification of MISO CT systems with unknown time delays by using the Simplified Refined Instrumental Variable method. Findings Simulations results are presented to show the performance of the proposed approach in the presence of additive output measurement noise. Originality/value This paper presents an optimal and robust method to separable delays and parameter identification of a MISO CT system with unknown time delays from sampled input/output data.

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