Exponential estimate of the degree of damping and overregulation for a linear system with delay

2013 ◽  
Vol 13 (11) ◽  
Author(s):  
Artur Gorbunov
2001 ◽  
Vol 34 (13) ◽  
pp. 461-464
Author(s):  
Sri Wahyuni ◽  
Indah Emilia Wijayanti

2019 ◽  
Vol 42 (2) ◽  
pp. 306-321
Author(s):  
Safa Maraoui ◽  
Kais Bouzrara

This paper proposes a new model for a representation of linear system with delay. This latter, is given by decomposing the coefficients of the AutoRegressive with eXogenous input (ARX) model associated with the output and the input on two independent Meixner-like orthonormal bases. The resulting model is called ARX Meixner-like model. In order to ensure the parameter complexity reduction, the Meixner-like poles are optimized using Genetic algorithms method. Unknown But Bounded Error (UBBE) approaches are used to update the uncertainty domain of the parameters of the new obtained model. A numerical example of system with delay and two examples of experimental research are made to prove the efficiency of the proposed approach.


2018 ◽  
Vol 2018 ◽  
pp. 1-7 ◽  
Author(s):  
J. Baštinec ◽  
H. Demchenko ◽  
J. Diblík ◽  
D. Ya. Khusainov

The paper investigates the exponential stability and exponential estimate of the norms of solutions to a linear system of difference equations with multiple delays xk+1=Axk+∑i=1sBixk-mi, k=0,1,…, where s∈N, A and Bi are square matrices, and mi∈N. New criterion for exponential stability is proved by the Lyapunov method. An estimate of the norm of solutions is given as well and relations to the well-known results are discussed.


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