-
3
-
-
0030196717
-
Adaptivecritic-based neural networks for artificial optimal control
-
Balakrishnan, S. N. and V. Biega (1996). Adaptivecritic-based neural networks for artificial optimal control. Journal of Guidance, Control, and Dynamics 19(4), 893-898.
-
(1996)
Journal of Guidance, Control, and Dynamics
, vol.19
, Issue.4
, pp. 893-898
-
-
Balakrishnan, S.N.1
Biega, V.2
-
11
-
-
17744381216
-
A bayesian approach to modeling the conditional density of the inverse controller
-
Taipe, Taiwan
-
Herzallah, R. and D. Lowe (2004a). A bayesian approach to modeling the conditional density of the inverse controller. In: IEEE Conference on Control Applications, CCA. Vol. 2. Taipe, Taiwan. pp. 954-959.
-
(2004)
IEEE Conference on Control Applications, CCA
, vol.2
, pp. 954-959
-
-
Herzallah, R.1
Lowe, D.2
-
12
-
-
2042548650
-
A mixture density network approach to modelling and exploiting uncertainty in nonlinear control problems
-
Herzallah, R. and D. Lowe (2004b). A mixture density network approach to modelling and exploiting uncertainty in nonlinear control problems. Engineering Applications of Artificial Intelligence 17, 145-158.
-
(2004)
Engineering Applications of Artificial Intelligence
, vol.17
, pp. 145-158
-
-
Herzallah, R.1
Lowe, D.2
-
13
-
-
0003644124
-
-
The Massachusetts Institute of Technology and John Wiley and Sons, Inc. New York. London
-
Howard, R. A. (1960). Dynamic Programming and Markov Processes. The Massachusetts Institute of Technology and John Wiley and Sons, Inc.. New York. London.
-
(1960)
Dynamic Programming and Markov Processes
-
-
Howard, R.A.1
-
15
-
-
0026954775
-
Neural networks for control systems- A survey
-
Hunt, K. J., D. Sbarbaro, R. Zbikowski and P. J. Gawthrop (1992). Neural networks for control systems-a survey. Automatica 28(6), 1083-1112.
-
(1992)
Automatica
, vol.28
, Issue.6
, pp. 1083-1112
-
-
Hunt, K.J.1
Sbarbaro, D.2
Zbikowski, R.3
Gawthrop, P.J.4
-
16
-
-
0001940458
-
Adaptive mixtures of local experts
-
Jacobs, R. A. and S. J. Nowlan (1991). Adaptive mixtures of local experts. Neural Computation 3, 79-87.
-
(1991)
Neural Computation
, vol.3
, pp. 79-87
-
-
Jacobs, R.A.1
Nowlan, S.J.2
-
17
-
-
0029247140
-
Identification of non-linear system structure and parameters using regime decomposition
-
Johansen, T. A. and B. A. Foss (1995). Identification of non-linear system structure and parameters using regime decomposition. Automatica 31(2), 321-326.
-
(1995)
Automatica
, vol.31
, Issue.2
, pp. 321-326
-
-
Johansen, T.A.1
Foss, B.A.2
-
18
-
-
0043170362
-
Convergence results for the EM approach to mixtures of experts architectures
-
Artificial Intelligence Laboratory and Center of Biological and Computational Learning Department of Brain and Cognitive Sciences
-
Jordan, M. I. and L. Xu (1993). Convergence results for the EM approach to mixtures of experts architectures. Technical report, A.I. Memo no.1458, C.B.C.L. Memo No. 87. Massachusetts Institute of Technology, Artificial Intelligence Laboratory and Center of Biological and Computational Learning Department of Brain and Cognitive Sciences.
-
(1993)
Technical Report, A.I. Memo No.1458, C.B.C.L. Memo No. 87. Massachusetts Institute of Technology
-
-
Jordan, M.I.1
Xu, L.2
-
19
-
-
0000262562
-
Hierarchical mixtures of experts and the EM algorithm
-
Jordan, M. I. and R. A. Jacobs (1994). Hierarchical mixtures of experts and the EM algorithm. Neural Computation 6, 181-214.
-
(1994)
Neural Computation
, vol.6
, pp. 181-214
-
-
Jordan, M.I.1
Jacobs, R.A.2
-
20
-
-
0016991136
-
Partitioninig: A unifying framework for adaptive systems, 1: Estimation
-
Lainiotis, D. G. (1976). Partitioninig: A unifying framework for adaptive systems, 1: Estimation. Proceedings of the IEEE 64(8), 1126-1143.
-
(1976)
Proceedings of the IEEE
, vol.64
, Issue.8
, pp. 1126-1143
-
-
Lainiotis, D.G.1
-
23
-
-
0028499286
-
Improving transient response of adaptive control systems using multiple models and switching
-
Narendra, K. S. and J. Balakrishnan (1994). Improving transient response of adaptive control systems using multiple models and switching. IEEE Transactions on Automatic Control 39(9), 1861- 1866.
-
(1994)
IEEE Transactions on Automatic Control
, vol.39
, Issue.9
, pp. 1861-1866
-
-
Narendra, K.S.1
Balakrishnan, J.2
-
26
-
-
0029325388
-
Adaptation and learning using multiple models, switching, and tuning
-
Narendra, K. S., J. Balakrishnan and M. K. Ciliz (1995). Adaptation and learning using multiple models, switching, and tuning. IEEE Control Systems Magazine 15, 37-51.
-
(1995)
IEEE Control Systems Magazine
, vol.15
, pp. 37-51
-
-
Narendra, K.S.1
Balakrishnan, J.2
Ciliz, M.K.3
-
29
-
-
0029512614
-
Autonomous control reconfiguration
-
Rauch, H. E. (1995). Autonomous control reconfiguration. IEEE Control Systems Magazine 15, 37- 48.
-
(1995)
IEEE Control Systems Magazine
, vol.15
, pp. 37-48
-
-
Rauch, H.E.1
-
30
-
-
0002031779
-
Approximate dynamic programming for real-time control and neural modeling
-
D. A. White and D. A. Sofge, Eds. Multiscience Press, Inc. New York, N.Y.
-
Werbos, P. J. (1992). Approximate dynamic programming for real-time control and neural modeling. In: Handbook of Intelligent Control (D. A. White and D. A. Sofge, Eds.). pp. 493-525. Multiscience Press, Inc. New York, N.Y.
-
(1992)
Handbook of Intelligent Control
, pp. 493-525
-
-
Werbos, P.J.1
-
31
-
-
0032192424
-
Multiple paired forward and inverse models for motor control
-
Wolpert, D. M. and M. Kawato (1998). Multiple paired forward and inverse models for motor control. Neural Networks 11, 1317-1329.
-
(1998)
Neural Networks
, vol.11
, pp. 1317-1329
-
-
Wolpert, D.M.1
Kawato, M.2
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