DocumentCode :
1661755
Title :
On global rational approximants for stochastic discrete event systems
Author :
Gong, Wei-Bo ; Yang, Hong ; Hu, Hanzhong
Author_Institution :
Dept. of Electr. & Comput. Eng., Massachusetts Univ., Amherst, MA, USA
Volume :
2
fYear :
1994
Firstpage :
1493
Abstract :
We study the convergence properties of some rational approximants for stochastic discrete event systems. Examples of the systems considered include computer/communication systems and general distributed and parallel processing systems. Difficulties often arise in the analysis for such systems due to the so-called “curse of dimensionality” in calculating some integer-parametered functions, where the integer parameter represents the system size or dimension. Our basic idea is to develop global approximants for such functions by exploring the properties of the systems. We analyze the convergence rates exhibited in examples given by Gong and Yang (1993)
Keywords :
computational complexity; convergence; discrete event systems; parallel processing; stochastic systems; computer/communication systems; convergence rates; curse of dimensionality; distributed processing systems; global rational approximants; integer-parametered functions; parallel processing systems; stochastic discrete event systems; Concurrent computing; Contracts; Convergence; Discrete event systems; Distributed computing; Parallel processing; Performance analysis; Polynomials; Stochastic processes; Stochastic systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 1994., Proceedings of the 33rd IEEE Conference on
Conference_Location :
Lake Buena Vista, FL
Print_ISBN :
0-7803-1968-0
Type :
conf
DOI :
10.1109/CDC.1994.411235
Filename :
411235
Link To Document :
بازگشت