DocumentCode
306599
Title
Worst-case analysis of asynchronous sampled-data systems
Author
Aripirala, Ravi ; Syrmos, Vassilis L.
Author_Institution
Dept. of Electr. Eng., Hawaii Univ., Honolulu, HI, USA
Volume
2
fYear
1996
fDate
11-13 Dec 1996
Firstpage
1513
Abstract
In this paper the problem of worst-case analysis for sampled-data systems in the presence of an asynchronous input is addressed. The asynchronous input to the system is modeled as a Poisson driven Markov process. The resulting stochastic process is optimized using the techniques for Poisson driven Markov processes. The problem of asynchronous input with an arbitrary hold function is also addressed
Keywords
H∞ control; Markov processes; Riccati equations; control system analysis; filtering theory; optimisation; sampled data systems; stochastic processes; Poisson driven Markov process; asynchronous input; asynchronous sampled-data systems; stochastic process; worst-case analysis; Adaptive control; Control system synthesis; Control systems; Delay; Feedback; Hardware; Markov processes; Process control; Sampling methods; Stochastic processes;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 1996., Proceedings of the 35th IEEE Conference on
Conference_Location
Kobe
ISSN
0191-2216
Print_ISBN
0-7803-3590-2
Type
conf
DOI
10.1109/CDC.1996.572736
Filename
572736
Link To Document