Title :
Parameter estimation in conservation laws
Author :
Fitzpatrick, Ben G.
Author_Institution :
Dept. of Math., Tennessee Univ., Knoxville, TN, USA
Abstract :
The author considers the numerical approximations for estimating parameters in conservation laws from observed data. In particular, he discusses monotone and essentially nonoscillatory schemes for solving the conservation law, together with regularized least squares minimization to fit the model to data
Keywords :
approximation theory; distributed parameter systems; parameter estimation; conservation laws; monotone schemes; nonoscillatory schemes; numerical approximations; parameter estimation; regularized least squares minimization; Chemical processes; Convergence of numerical methods; Costs; Distributed parameter systems; Equations; Least squares approximation; Least squares methods; Mathematics; Parameter estimation; Throughput;
Conference_Titel :
Decision and Control, 1991., Proceedings of the 30th IEEE Conference on
Conference_Location :
Brighton
Print_ISBN :
0-7803-0450-0
DOI :
10.1109/CDC.1991.261470
