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5. Bengio Y., Simard P., Frasconi F. [1994], Learning long term dependencies with
gradient descent is di
cult,
IEEE Trans. on Neural Networks
, 5, pp 157-166
6. Bertsekas D.P., Tsitsiklis J.N. [1996],
Neuro-dynamic programming
, Athena Sci-
entific, Belmont, MA
7. Chatfield C. [1994],
The Analysis of Time series, an Introduction
, Chapman &
Hall
8. Demailly J.-P. [1991],
Analyse numerique et equations differentielles
, Presses
universitaires de Grenoble
9. Doya K. [2000], Reinforcement learning in continuous time and space,
Neural
computation
, pp 219-244
10. Duflo M. [1996],
Algorithmes stochastiques
, Springer
11. Dutech A. [1999], Apprentissage d'environnements: approches cognitive et com-
portementale, these de doctorat de l'Ecole nationale superieure de l'aeronautique
et de l'espace
12. Duvaut P. [1994],
Traitement du signal: concepts et applications
,Hermes
13. Elman J.L. [1990], Finding structure in time,
Cognitive Science
, 14, pp 1179-211
14. Grondin B. [1994], Les reseaux de neurones pour la modelisation et la conduite
des reacteurs chimiques: simulations et experimentations, th`esededoctoratde
l'Universite de Bordeaux I
15. Haykin S. [1996],
Adaptive Filter Theory
, Prentice Hall
16. Haykin S. [1999],
Neural Networks: a comprehensive foundation
, Prentice Hall
17. Hopfield J.J. [1982], Neural networks and physical systems with emergent collec-
tive computational abilities,
Proceedings of the National Academy of Sciences
,
Etats-Unis, 79, pp 2554-2558
18. Isermann R., Lachmann K.H., Matko D. [1992],
Adaptive Control Systems
, Pren-
tice Hall
19. Jazwinsky A.H. [1970],
Stochastic Processes and Filtering Theory
, Academic
Press
20. Kirkpatrick S., Gelatt C.D., Vecchi M.P. [1983], Optimization by simulated
annealing,
Science
, 220, pp 671-680
21. Kushner K.H.J., Clark D.S. [1978]
Stochastic Approximation Method for
constrained and unconstrained Systems
, Applied Mathematical Sciences, 26,
Springer-Verlag
22. Kwakernaak H., Sivan R. [1972],
Linear Optimal Control Systems
, Wiley
23. Gourieroux C., Monfort A. [1995],
Series temporelles et modeles dynamiques
,
Economica
24. Landau I.D., Dugard L. [1986],
Commande adaptative, aspects pratiques et
theoriques
, Masson
25. Landau I.D. [1993],
Identification et commande des systemes
,Hermes
26. Levin A.U., Narendra K.S. [1993], Control of nonlinear dynamical systems using
neural networks,
IEEE Transactions on neural networks
, 4.2, pp 192-207
27. Levin A.U., Narendra K.S. [1997], Identification of nonlinear dynamical systems
using neural networks
in Neural Systems for Control
, O. Omivar, D.L. Elliott,
ed., Academic Press, pp 129-160
28. Lion M. [2000], Filtrage adaptatif par reseaux neuronaux, application `alatra-
jectographie, th`esededoctoratdel'Ecole nationale superieure de l'aeronautique
et de l'espace
29. Ljung L., Soderstrom T. [1983],
Theory and Practice of Recursive Identification
,
MIT Press
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