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
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;
Conference_Titel :
Decision and Control, 1996., Proceedings of the 35th IEEE Conference on
Conference_Location :
Kobe
Print_ISBN :
0-7803-3590-2
DOI :
10.1109/CDC.1996.572736
