Discrete Approximations of Controlled Stochastic Systems with Memory: A Survey

2012 ◽  
Vol 30 (4) ◽  
pp. 675-724
Author(s):  
Mou-Hsiung Chang
2005 ◽  
Vol 05 (02) ◽  
pp. 223-232 ◽  
Author(s):  
V. D. POTAPOV

Many processes in physics, biology, ecology, mechanics etc. can be modeled by Volterra integro-differential equations (VIDEs) with "fading memory". Often the behaviour of corresponding systems is perturbed by random noises. One of the main problems for the theory of stochastic Volterra integro-differential equations (SVIDEs) is connected with their stability. The present paper is devoted to the numerical solution of the stability problem for linear SVIDEs. The method is based on the statistical simulation of input random wide-band stationary processes, which are assumed in the form of "colored" noises. For each realization the numerical solution of VIDEs is found. The conclusion about the stability of the considered system SVIDE with respect to statistical moments is made on the basis of Liapunov exponents, which are calculated for statistical moments of the solution.


2006 ◽  
Vol 6 (4) ◽  
pp. 881-893 ◽  
Author(s):  
Salah-Eldin A. Mohammed ◽  
◽  
Tusheng Zhang ◽  

2019 ◽  
Vol 266 (9) ◽  
pp. 5772-5820 ◽  
Author(s):  
D.R. Baños ◽  
F. Cordoni ◽  
G. Di Nunno ◽  
L. Di Persio ◽  
E.E. Røse

2021 ◽  
Vol 3 (1) ◽  
Author(s):  
Zachary A. Cochran ◽  
Avadh Saxena ◽  
Yogesh N. Joglekar

2002 ◽  
Vol 89 (10) ◽  
Author(s):  
Rafael Morgado ◽  
Fernando A. Oliveira ◽  
G. George Batrouni ◽  
Alex Hansen

Sign in / Sign up

Export Citation Format

Share Document