Title :
Inverse of a sampled system
Author_Institution :
Dept. of Electr. & Comput. Eng., Iowa Univ., Iowa City, IA, USA
Abstract :
We study the invertibility of a sampled data system. Necessary and sufficient invertibility conditions are given explicitly in terms of transfer function zeros. It is shown that many systems including those with “unstable” zeros or those with more inputs than outputs are in fact stably invertible. Detailed design procedures to achieve the system inverse are given. A minimum sensitivity inverse with respect to under-modeling and noise is also provided in the paper
Keywords :
FIR filters; MIMO systems; matrix algebra; noise; poles and zeros; sampled data systems; sensitivity; transfer functions; minimum sensitivity inverse; necessary and sufficient invertibility conditions; transfer function zeros; under-modeling; unstable zeros; Delay; Filtering theory; Finite impulse response filter; Inverse problems; MIMO; Sampled data systems; Sampling methods; Signal processing; Sufficient conditions; Transfer functions;
Conference_Titel :
Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on
Conference_Location :
Hefei
Print_ISBN :
0-7803-5995-X
DOI :
10.1109/WCICA.2000.862586
