Title :
Mean-square practical stability of stochastic large-scale dynamical systems
Author :
Feng, Zhao-Shu ; Liu, Yong-Qing ; Guo, Feng-Wei
Author_Institution :
Dept. of Autom., South China Univ. of Technol., Guangzhou, China
Abstract :
Mean-square practical stability for stochastic large-scale dynamical systems is studied. The vector Lyapunov functions and the basic comparison principle of stochastic systems as well as the decomposition-aggregation method for large-scale systems were used to obtain results for various types of mean-square practical stability of nonlinear stochastic large-scale dynamical systems. The objective is to analyze stochastic large-scale systems in terms of their lower-order subsystems and in terms of their interconnecting structure. These results make it possible to determine the mean-square practical stability of stochastic large-scale dynamical systems by testing the corresponding practical stability of the auxiliary deterministic systems
Keywords :
Lyapunov methods; large-scale systems; nonlinear systems; stability; stochastic systems; auxiliary deterministic systems; decomposition-aggregation method; mean-square practical stability; nonlinear stochastic large-scale dynamical systems; vector Lyapunov functions; Automation; Chemical processes; Concrete; Large-scale systems; Lyapunov method; Missiles; Space vehicles; Stability; Stochastic systems; System testing;
Conference_Titel :
Systems, Man, and Cybernetics, 1991. 'Decision Aiding for Complex Systems, Conference Proceedings., 1991 IEEE International Conference on
Conference_Location :
Charlottesville, VA
Print_ISBN :
0-7803-0233-8
DOI :
10.1109/ICSMC.1991.169736
