A Simple Model-Based Online Rotor Time Constant Estimator for an Induction Machine

2004 ◽  
Vol 19 (4) ◽  
pp. 793-794 ◽  
Author(s):  
W. Gao
2018 ◽  
Vol 24 (9) ◽  
pp. 933-944 ◽  
Author(s):  
Anastasios C. Papachristou ◽  
Charalampos A. Vallianos ◽  
Vasken Dermardiros ◽  
Andreas K. Athienitis ◽  
JosÉ A. Candanedo

2003 ◽  
Vol 19 ◽  
pp. 11-23 ◽  
Author(s):  
R. I. Brafman ◽  
M. Tennenholtz

In common-interest stochastic games all players receive an identical payoff. Players participating in such games must learn to coordinate with each other in order to receive the highest-possible value. A number of reinforcement learning algorithms have been proposed for this problem, and some have been shown to converge to good solutions in the limit. In this paper we show that using very simple model-based algorithms, much better (i.e., polynomial) convergence rates can be attained. Moreover, our model-based algorithms are guaranteed to converge to the optimal value, unlike many of the existing algorithms.


1979 ◽  
Vol 53 ◽  
pp. 531-531
Author(s):  
Jim MacDonald

We compare two hydrodynamic calculations of thermonuclear runaways in material accreted by a 1M⊙ white dwarf of initial luminosity 10−3L⊙. In both cases the CNO abundances are taken to be near solar (ZCNO = 0.014). The only difference between the calculations is that in one sequence of models (seq.B) the additional energy generation due to the interaction between the expanding nova envelope and a close red dwarf companion is allowed for, using a simple model based on that of Paczynski (1976).


1999 ◽  
Vol 22 (2) ◽  
pp. 284-285
Author(s):  
Peter W. Culicover ◽  
Andrzej Nowak

To deal with syntactic structure, one needs to go beyond a simple model based on associative structures, and to adopt a dynamical systems perspective, where each phrase and sentence of a language is represented as a trajectory in a syntactic phase space. Neural assemblies could possibly be used to produce dynamics that in principle could handle syntax along these lines.


Polar Record ◽  
1989 ◽  
Vol 25 (155) ◽  
pp. 303-308 ◽  
Author(s):  
Rory P. Wilson ◽  
Ken A. Nagy ◽  
Bryan S. Obst

abstractSpeed/distance meters were deployed on adeliée, gentoo and chinstrap penguinsPygoscelis adeliae, P. papua and P. antarctica, breeding near Anvers Island, Antarctica. Underwater speeds and distances travelled were interspecifically very similar (means of ca. 7–8 km h-1and 15–45 km, respectively). These results are compared with published data on penguin behaviour at sea obtained by using identical methodology. A simple model, based on penguin activity at sea data, is developed to derive range limits for penguins. Derived range limits are substantially lower than previous estimates but accord well with distributional data obtained by transects.


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