Modified nonlinear internal model control

Control and Intelligent Systems

Volumn 26, Issue 2, 1998, Pages 57-63

  Matausek M R ^a,c,d,e   Stipanovic D M ^b  

^a University of Belgrade   (Serbia)

^b SANTA CLARA UNIVERSITY   (United States)

^c UNIVERSITY OF BELGRADE   (Serbia)

^d Reactor Phys and Dynam Laboratory   (Serbia)

^e Syst and Info Science Laboratory   (Serbia)

Author keywords

[No Author keywords available]

Indexed keywords

BACKPROPAGATION; CONTROL SYSTEM SYNTHESIS; LEARNING ALGORITHMS; LEAST SQUARES APPROXIMATIONS; MATHEMATICAL MODELS; NEURAL NETWORKS; POLYNOMIALS;

BACK PROPAGATION LEARNING ALGORITHM; FEED FORWARD FULLY CONNECTED NEURAL NETWORK; INTERNAL MODEL CONTROL; POLYNOMIAL APPROXIMATION;

NONLINEAR CONTROL SYSTEMS;

EID: 0032278524     PISSN: 14801752     EISSN: None     Source Type: None    
DOI: None     Document Type: Article

References (6)

1. K.S. Narendra & K. Parthasarathy, Identification and control of dynamical systems using neural networks, IEEE Trans. Neural Networks, 1(1), 1990, 4-27.
2. K.J. Hunt & D. Sbarbaro, Neural networks for nonlinear internal model control, Proc. IEE, Part D, 138(5), 1991, 431-438.
3. M. Morari & E. Zafiriou, Robust process control, (Englewood Cliffs, NJ: Prentice-Hall, 1989).
4. P.J. Werbos, Backpropagation through time: What it does and how to do it , Proc. of the IEEE, 78(10), 1990, 1550-1560.
5. D. Psaltis, A. Sideris, & A.A. Yamamura, A multilayered neural network controller, IEEE Control Systems Mag, 8, 1998, 17-21.
6. M.R. Matauāek, D.M. Miljković, & B.I. Jeftenić, Nonlinear multi input-multi output neural network control of DC motor drive with field weakening, IEEE Trans. on Industrial Electr., 45(1), 1998, 185-187.