Estimation and Identification for Modeling Dynamic Systems.
Interim rept. 1 Mar 77-28 Feb 78,
UNIVERSITY OF SOUTHERN CALIFORNIA LOS ANGELES DEPT OF ELECTRICAL ENGINEERING
Pagination or Media Count:
Systems are modelled in order to understand and explain them better and as a prelude to action. The study has been aimed at two problem areas multi-stage modelling estimation and identification algorithms for dynamic systems, and state estimation and a parameter identification for a new class of models -- causal functional equations -- which describe wave propagation in layered media systems. The first problem is concerned with developing estimation algorithms both for parameter and state estimation that are recursive in the dimension of the parameter vector or state vector. The second problem is concerned with developing whole new theories of state estimation and parameter identification for a new class of equations which is referred to as causal functional equations. Eight new papers were submitted or accepted for publication. Author
- Theoretical Mathematics
- Operations Research