Adaptive control of nonlinear multivariable systems using neural networks
作者： Kumpati S. Narendra , Snehasis Mukhopadhyay
DOI: 10.1016/0893-6080(94)90096-5
关键词: Mathematics 、 Design methods 、 Representation (mathematics) 、 Intelligent control 、 Control theory 、 Identification (information) 、 Adaptive control 、 Multivariable calculus 、 Nonlinear system 、 Artificial neural network
摘要: Abstract Most practical systems have multiple inputs and outputs, the applicability of neural networks as adaptive controllers will eventually be judged by their success in multivariable problems. The representation, identification, control nonlinear are rendered difficult coupling well delays that exist between outputs. In first part paper, theoretical questions related to system representation existence a desired input discussed. second paper develops design methodology using networks. It is shown under appropriate conditions, it may possible efficient for which linear inadequate.
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sci-hub.se 参考文章(17)
E. D. Sontag, Alberto Isidori, B. W. Dickinson, M. Thoma, A. Fettweis, J. W. Modestino, J. L. Massey, Nonlinear Control Systems ,(1985)
Henk Nijmeijer, Arjan Van der Schaft, Nonlinear Dynamical Control Systems ,(1990)
Kurt Hornik, Maxwell Stinchcombe, Halbert White, Universal approximation of an unknown mapping and its derivatives using multilayer feedforward networks Neural Networks. ,vol. 3, pp. 551- 560 ,(1990) , 10.1016/0893-6080(90)90005-6
Intelligent control using neural networks IEEE Control Systems Magazine. ,vol. 12, pp. 11- 18 ,(1992) , 10.1109/37.126848
Eric J. Hartman, James D. Keeler, Jacek M. Kowalski, Layered neural networks with Gaussian hidden units as universal approximations Neural Computation. ,vol. 2, pp. 210- 215 ,(1990) , 10.1162/NECO.1990.2.2.210
A.U. Levin, K.S. Narendra, Control of nonlinear dynamical systems using neural networks. II. Observability, identification, and control IEEE Transactions on Neural Networks. ,vol. 7, pp. 30- 42 ,(1996) , 10.1109/72.478390
G. Cybenko, Approximation by superpositions of a sigmoidal function Mathematics of Control, Signals, and Systems. ,vol. 2, pp. 303- 314 ,(1989) , 10.1007/BF02551274
P. Falb, W. Wolovich, Decoupling in the design and synthesis of multivariable control systems IEEE Transactions on Automatic Control. ,vol. 12, pp. 651- 659 ,(1967) , 10.1109/TAC.1967.1098737
D.T. Pham, S.J. Oh, Adaptive control of dynamic systems using neural networks systems man and cybernetics. ,vol. 4, pp. 97- 102 ,(1993) , 10.1109/ICSMC.1993.390690
A.U. Levin, K.S. Narendra, Control of nonlinear dynamical systems using neural networks: controllability and stabilization IEEE Transactions on Neural Networks. ,vol. 4, pp. 192- 206 ,(1993) , 10.1109/72.207608