Title :
Normalized coprime factorizations for 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 notion of normalized coprime factorization (NCF) for sampled-data systems is studied. The problem is approached by the study of linear systems with discrete jumps at periodic time instants. These systems arise in the study of linear systems with sampled-data control and filtering problems. It is shown that the NCF can be obtained through the solution to Riccati equations with jumps. The properties of the Riccati equations and the corresponding properties of the NCF are studied
Keywords :
Riccati equations; feedback; linear systems; matrix algebra; sampled data systems; state-space methods; stochastic systems; Riccati equations; discrete jumps; feedback; linear systems; normalized coprime factorization; sampled-data systems; state space method; Adaptive control; Control systems; Discrete time systems; Linear systems; Riccati equations; Robust control; Robust stability; Robustness; Signal mapping; Time measurement;
Conference_Titel :
Decision and Control, 1995., Proceedings of the 34th IEEE Conference on
Conference_Location :
New Orleans, LA
Print_ISBN :
0-7803-2685-7
DOI :
10.1109/CDC.1995.480396
