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Parameter identification using a creeping-random-search algorithm
| Content Provider | NASA Technical Reports Server (NTRS) |
|---|---|
| Author | Parrish, R. V. |
| Copyright Year | 1971 |
| Description | A creeping-random-search algorithm is applied to different types of problems in the field of parameter identification. The studies are intended to demonstrate that a random-search algorithm can be applied successfully to these various problems, which often cannot be handled by conventional deterministic methods, and, also, to introduce methods that speed convergence to an extremal of the problem under investigation. Six two-parameter identification problems with analytic solutions are solved, and two application problems are discussed in some detail. Results of the study show that a modified version of the basic creeping-random-search algorithm chosen does speed convergence in comparison with the unmodified version. The results also show that the algorithm can successfully solve problems that contain limits on state or control variables, inequality constraints (both independent and dependent, and linear and nonlinear), or stochastic models. |
| File Size | 7142740 |
| Page Count | 38 |
| File Format | |
| Alternate Webpage(s) | http://archive.org/details/NASA_NTRS_Archive_19720005533 |
| Archival Resource Key | ark:/13960/t7vm90v7p |
| Language | English |
| Publisher Date | 1971-12-01 |
| Access Restriction | Open |
| Subject Keyword | Algorithms Iterative Solution Stochastic Processes Random Walk Mathematical Models Parameterization Optimization 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 |
