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Modern control concepts in hydrology
| Content Provider | NASA Technical Reports Server (NTRS) |
|---|---|
| Author | Duong, N. Winn, C. B. Johnson, G. R. |
| Copyright Year | 1974 |
| Description | Two approaches to an identification problem in hydrology are presented based upon concepts from modern control and estimation theory. The first approach treats the identification of unknown parameters in a hydrologic system subject to noisy inputs as an adaptive linear stochastic control problem; the second approach alters the model equation to account for the random part in the inputs, and then uses a nonlinear estimation scheme to estimate the unknown parameters. Both approaches use state-space concepts. The identification schemes are sequential and adaptive and can handle either time invariant or time dependent parameters. They are used to identify parameters in the Prasad model of rainfall-runoff. The results obtained are encouraging and conform with results from two previous studies; the first using numerical integration of the model equation along with a trial-and-error procedure, and the second, by using a quasi-linearization technique. The proposed approaches offer a systematic way of analyzing the rainfall-runoff process when the input data are imbedded in noise. |
| File Size | 2088569 |
| Page Count | 109 |
| File Format | |
| Alternate Webpage(s) | http://archive.org/details/NASA_NTRS_Archive_19740010927 |
| Archival Resource Key | ark:/13960/t50g8f95v |
| Language | English |
| Publisher Date | 1974-02-01 |
| Access Restriction | Open |
| Subject Keyword | Geophysics Hydrology Rain Water Runoff Stochastic Processes Mathematical Models Control Theory Parameterization Estimates Ntrs Nasa Technical Reports Server (ntrs) Nasa Technical Reports Server Aerodynamics Aircraft Aerospace Engineering Aerospace Aeronautic Space Science |
| Content Type | Text |
| Resource Type | Technical Report |
