-
1
-
-
0025010309
-
MCAVOY, T.JUse of neural networks for dynamical modelling and control of chemical process systems
-
BHAT, N., and MCAVOY, T.J.: 'Use of neural networks for dynamical modelling and control of chemical process systems', Computers Chem. Eng., 1990, 14, pp. 4-5
-
(1990)
Computers Chem Eng.
, vol.14
, pp. 4-5
-
-
Bhat, N.1
-
2
-
-
33746013981
-
MOMTAGUE, G., KAMBHAMPATI, C., HOFLAND, A.G., THAM, M.T MORRIS, A.JOn the applicability of neural networks in chemical process control'
-
Dl MASSIMO, C, WILLIS, M., MOMTAGUE, G., KAMBHAMPATI, C., HOFLAND, A.G., THAM, M.T., and MORRIS, A.J.: 'On the applicability of neural networks in chemical process control'. AIChE annual meeting, Chicago, USA, 1990
-
(1990)
AIChE Annual Meeting, Chicago, USA
-
-
Dl Massimo, C.1
Willis, M.2
-
3
-
-
0026219567
-
J SBARBARO, DNeural networks for nonlinear internal model control
-
HUNT, K.J., and SBARBARO, D.: 'Neural networks for nonlinear internal model control', IEE Proc. D, 1991, 138, (5), pp. 431438
-
(1991)
IEE Proc D
, vol.138
, Issue.5
, pp. 431438
-
-
Hunt, K.1
-
4
-
-
0025399567
-
S PARTHASARATHY, KAdaptive identification and control of dynamical systems using neural networks', IEEE Trans
-
NARENDRA, K.S., and PARTHASARATHY, K.: 'Adaptive identification and control of dynamical systems using neural networks', IEEE Trans. Neural Networks, 1990, 1, pp. 4-27
-
(1990)
Neural Networks
, vol.1
, pp. 4-27
-
-
Narendra, K.1
-
5
-
-
0024861871
-
Approximation by superpositions of a sigmoidal function', Math
-
CYBENKO, G.: 'Approximation by superpositions of a sigmoidal function', Math. Contr. Syst., 1989, 2, pp. 303-314
-
(1989)
Contr. Syst.
, vol.2
, pp. 303-314
-
-
Cybenko, G.1
-
6
-
-
0027154319
-
-
FUNAHASHI, K., and NAKAMURA, Y.: 'Approximation of dynamical systems by continuous time recurrent neural networks', Neural Networks, 1993, 6, pp. 801-806
-
(1993)
NAKAMURA, YApproximation of Dynamical Systems by Continuous Time Recurrent Neural Networks', Neural Networks
, vol.6
, pp. 801-806
-
-
Funahashi, K.1
-
7
-
-
0024880831
-
-
HORNIK, K., STINCHCOMBE, M., and WHITE, H.: 'Multilayer feedforward networks are universal approximators', Neural Networks. 1989, 2, pp. 359-366
-
(1989)
STINCHCOMBE, M WHITE, HMultilayer Feedforward Networks Are Universal Approximators', Neural Networks.
, vol.2
, pp. 359-366
-
-
Hornik, K.1
-
8
-
-
0020118274
-
JNeural networks and physical systems with emergent collective computational abilities', Proc
-
HOPFIELD, J.J.: 'Neural networks and physical systems with emergent collective computational abilities', Proc. Nat. Acad. Sci., 1982, 79, pp. 2554-2558
-
(1982)
Nat. Acad. Sci.
, vol.79
, pp. 2554-2558
-
-
Hopfield, J.1
-
9
-
-
0021835689
-
J TANK, D.WNeural computation of decisions in optimisation problems', Biolog
-
HOPFIELD, J.J., and TANK, D.W.: 'Neural computation of decisions in optimisation problems', Biolog. Cybern., 1985, 52, pp. 141-152
-
(1985)
Cybern.
, vol.52
, pp. 141-152
-
-
Hopfield, J.1
-
10
-
-
33746021564
-
M IOANNOU P.Identification and control of non-linear systems using neural network models: Design and stability analysis'
-
POLYCARPOU, M.M., and IOANNOU P..: 'Identification and control of non-linear systems using neural network models: design and stability analysis'. Tech. Report, USC, Los Angeles, 1991, Report Number 91-09-01
-
(1991)
Tech. Report, USC, Los Angeles
, Issue.9
-
-
Polycarpou, M.1
-
11
-
-
0025462720
-
Q MICHALSKA, HReceding horizon control of non-linear systems', IEEE Trans
-
MAYNE, D.Q., and MICHALSKA, H.: 'Receding horizon control of non-linear systems', IEEE Trans. Auto. Cont., 1990, AC35, pp. 814-825
-
(1990)
Auto. Cont.
, vol.35
, pp. 814-825
-
-
Mayne, D.1
-
12
-
-
0001024026
-
DAn algorithm for optimal control of non-linear systems with model-reality differences'
-
ROBERTS, P.D.: 'An algorithm for optimal control of non-linear systems with model-reality differences'. IFAC World Congress, Sydney, 1993, Vol. 8, pp. 407-412
-
(1993)
IFAC World Congress, Sydney
, vol.8
, pp. 407-412
-
-
Roberts, P.1
-
13
-
-
2542570433
-
DOptimal control of non-linear systems with model-reality differences'
-
ROBERTS, P.D.: 'Optimal control of non-linear systems with model-reality differences'. Proceedings of 21st CDC, Tucson, USA, 1992, pp. 257-258
-
(1992)
Proceedings of 21st CDC, Tucson, USA
, pp. 257-258
-
-
Roberts, P.1
-
14
-
-
0026627238
-
THAM, M.T., MONTAGUE, G.A MORRIS, A.JOptimising control of fermentation processes', IEE Proc
-
KAMBHAMPATI, C., THAM, M.T., MONTAGUE, G.A., and MORRIS, A.J.: 'Optimising control of fermentation processes', IEE Proc. D Control Theory Appl., 1992, 139, pp. 60-66
-
(1992)
D Control Theory Appl.
, vol.139
, pp. 60-66
-
-
Kambhampati, C.1
-
17
-
-
34250795530
-
JA study of the asymptotic behavior of neural networks', IEEE Trans
-
D1MOPOULOS, N.J.: 'A study of the asymptotic behavior of neural networks', IEEE Trans. Circuits Syst.. 1989, 36, (5), pp. 687-694
-
(1989)
Circuits Syst..
, vol.36
, Issue.5
, pp. 687-694
-
-
Dimopoulos, N.1
-
20
-
-
0029755419
-
-
KAMBHAMPATI, C., MANCHANDA, S., DELGADO, A., GREEN, G.G.R., WARWICK, K., and THAM, M.T.: 'Relative order and inverses of a class of recurrent networks', Automatica, 1996, 32, (1), pp. 117-123
-
(1996)
MANCHANDA, S., DELGADO, A., GREEN, G.G.R., WARWICK, K THAM, M.TRelative Order and Inverses of A Class of Recurrent Networks', Automatica
, vol.32
, Issue.1
, pp. 117-123
-
-
Kambhampati, C.1
-
21
-
-
0029345293
-
KAMBHAMPATI, C, and WARWICK, KA dynamic recurrent neural network for system identification and control
-
DELGADO, A., KAMBHAMPATI, C, and WARWICK, K.: 'A dynamic recurrent neural network for system identification and control', IEE Proc. D, 1995, 142, (4), pp. 307-314
-
(1995)
IEE Proc D
, vol.142
, Issue.4
, pp. 307-314
-
-
Delgado, A.1
-
22
-
-
0027697856
-
NIKIFORUK, P.N GUPTA, M.MDirect adaptive output tracking control using multilayered neural networks
-
JIN, L., NIKIFORUK, P.N., and GUPTA, M.M.: 'Direct adaptive output tracking control using multilayered neural networks', IEE Proc. D. 1993, 140, pp. 393-398
-
(1993)
IEE Proc D.
, vol.140
, pp. 393-398
-
-
Jin, L.1
|