TY - JOUR
AU1 - Ghoul, Yamna
AB - This study/paper aims to present a separable identification algorithm for a multiple input single output (MISO) continuous time (CT) hybrid “Box–Jenkins”.Design/methodology/approachThis paper proposes an optimal method for the identification of MISO CT hybrid “Box–Jenkins” systems with unknown time delays by using the two-stage recursive least-square (TS-RLS) identification algorithm.FindingsThe effectiveness of the proposed scheme is shown with application to a simulation example.Originality/valueA two-stage recursive least-square identification method is developed for multiple input single output continuous time hybrid “Box–Jenkins” system with multiple unknown time delays from sampled data. The proposed technique allows the division of the global CT hybrid “Box–Jenkins” system into two fictitious subsystems: the first one contains the parameters of the system model, including the multiple unknown time delays, and the second contains the parameters of the noise model. Then the TS-RLS identification algorithm can be applied easily to estimate all the parameters of the studied system.
TI - Identification of continuous-time hybrid “Box–Jenkins” systems with multiple unknown time delays using two-stage parameter estimation algorithm
JF - Engineering Computations: International Journal for Computer-Aided Engineering and Software
DO - 10.1108/ec-12-2018-0550
DA - 2019-08-15
UR - https://www.deepdyve.com/lp/emerald-publishing/identification-of-continuous-time-hybrid-box-jenkins-systems-with-hnxsjs4flS
SP - 2111
EP - 2130
VL - 36
IS - 6
DP - DeepDyve
ER -