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Hybrid neural network and fuzzy logic approaches for rendezvous and capture in space
| Content Provider | NASA Technical Reports Server (NTRS) |
|---|---|
| Author | Castellano, Timothy Berenji, Hamid R. |
| Copyright Year | 1991 |
| Description | The nonlinear behavior of many practical systems and unavailability of quantitative data regarding the input-output relations makes the analytical modeling of these systems very difficult. On the other hand, approximate reasoning-based controllers which do not require analytical models have demonstrated a number of successful applications such as the subway system in the city of Sendai. These applications have mainly concentrated on emulating the performance of a skilled human operator in the form of linguistic rules. However, the process of learning and tuning the control rules to achieve the desired performance remains a difficult task. Fuzzy Logic Control is based on fuzzy set theory. A fuzzy set is an extension of a crisp set. Crisp sets only allow full membership or no membership at all, whereas fuzzy sets allow partial membership. In other words, an element may partially belong to a set. |
| File Size | 150839 |
| Page Count | 3 |
| File Format | |
| Alternate Webpage(s) | http://archive.org/details/NASA_NTRS_Archive_19930013040 |
| Archival Resource Key | ark:/13960/t2w42nx6d |
| Language | English |
| Publisher Date | 1991-01-01 |
| Access Restriction | Open |
| Subject Keyword | Cybernetics Controllers Fuzzy Sets Rendezvous Spacecraft Neural Nets Control Systems Design Network Control Spacecraft Control Set Theory Mathematical Models Spacecraft Docking Nonlinear Systems Fuzzy Systems Ntrs Nasa Technical Reports Server (ntrs) Nasa Technical Reports Server Aerodynamics Aircraft Aerospace Engineering Aerospace Aeronautic Space Science |
| Content Type | Text |
| Resource Type | Article |
