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The Global ETD Search service is a free service for researchers
to find electronic theses and dissertations. This service is
provided by the
Networked Digital Library of Theses and Dissertations.
Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
Search results
Showing 31 to 40 of 10598 (0.039 seconds)Spelling suggestions: "subject:"_dynamic"" "subject:"asdynamic""
| 31 |
Ertel potential vorticity as a troposheric variableRobertson, A. W. January 1984 (has links)
No description available.
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| 32 |
Adaptive signal prediction with application to ship motionsPittaras, Athanasios January 1992 (has links)
No description available.
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| 33 |
Hydroelastic behaviour of a sailing yacht in wavesLouarn, Frederic January 1999 (has links)
No description available.
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| 34 |
Identification of dynamic parameters of a squeeze-film bearingRamli, M. D. M. January 1987 (has links)
No description available.
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| 35 |
Non-linear control strategies using input-state network modelsDimopoulos, Konstantinos Panagiotis January 2000 (has links)
No description available.
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| 36 |
Optimal control of nonsmooth dynamic systemsWoodford, Patrick Dominic January 1997 (has links)
No description available.
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| 37 |
Non-linear predictive control of chemical processesHong, Tao January 1998 (has links)
No description available.
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| 38 |
Aspects of optimal sequential resource allocationFerreira Pena Do Amaral, J. A. January 1985 (has links)
No description available.
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| 39 |
Analysis of Time-Dependent Integrodifference Population ModelsMcAdam, Taylor J 01 May 2013 (has links)
The population dynamics of species with separate growth and dispersal stages can be described by a discrete-time, continuous-space integrodifference equation relating the population density at one time step to an integral expression involving the density at the previous time step. Prior research on this model has assumed that the equation governing the population dynamics remains fixed over time, however real environments are constantly in flux. We show that for time-varying models, there is a value Λ that can be computed to determine a sufficient condition for population survival. We also develop a framework for analyzing persistence of a population for which growth and dispersal behavior alternate predictably throughout time. Finally, we consider a number of time-varying models that include randomness.
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| 40 |
Complex torque coefficient analysis of multi-device power systemsBremner, Jonathan James January 1996 (has links)
No description available.
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