Journals
Books
Articles by keyword dynamic object
Soft computing conception basis of the on board intelligence systems
Nechaev Yu. I.
Estimation of the Quantization Amplifier Step Value of the Control Signal in Adaptive Variable Structure
M. A. Guzeev, V. F. Filaretov, D. A. Yukhimest
Neural networks management of bidimentional dynamic object
G. N. Makarov
Fuzzy-neuronet approach to modeling control of sea dynamics objects
Yu. L. Siek, Soe Min Lwin
Complicacies of calculating algorithms in control optimization of dynamic objects
V. G. Kurbanov
The inverse-adaptive control diagram of the composite dynamic object
N. V. Sukhanov, A. V. Zajtsev, A. N. Nikishov, L. L. Talimanchuk, A. A. Oleynik
Neuronet modeling of sea dynamics objects on the basis of the evolutionary approach
Yu. L. Siek, Soe Min Lwin
Application of artificial neural networks in the tasks of fault detection in the behaviour of complex dynamic objects
D. M. Klionskiy., A. K. Bolshev
Synthesis of adaptive systems for control of dynamic objects on the basis of the neural network
V.E. Bolnokin, Phan Thanh Tung, Nguyen Quang Hieu, Bui Thanh Nam
The solution of problem of identification of nonlinear discrete stationary dynamic object identification by use a multilayer neural network (MLNN)
R. A. Fayzrakhmanov - Dr.Sc. (Econ.), Professor, Head of Department, Perm National Research Polytechnic University
I. N. Lipatov - Ph.D. (Eng.), Associate Professor, Perm National Research Polytechnic University
Е. V. Dolgova - Dr.Sc. (Econ.), Professor, Head of Department, Perm National Research Polytechnic University
Geoinformation use in interests of control of dynamic objects

M.L. Parinov – Ph.D.(Eng.), Associate Professor of Department, MESC «Zhukovsky–Gagarin Air Force Academy» (Voronezh) E-mail: pml_27_2_8@mail.ru

A.N. Shmarov – Ph.D.(Eng.), Associate Professor, Deputy Head, Academic, MESC «Zhukovsky–Gagarin Air Force Academy» (Voronezh)

S.E. Balain – Lecturer of Department, MESC «Zhukovsky–Gagarin Air Force Academy» (Voronezh)

Cognitive modeling of behavior of complex system on the basis of neural network technologies and the dynamic of catastrophe theory

Yu.I. Nechaev – Dr.Sc. (Eng.), Professor, Honored Scientist of RF, Academician of RANS, Leading Research Scientist, the Main Scientific Employee of Scientific Research Institute of the High Technology Computer Technologies of the St.-Petersburg National Research University Information Technologies, Mechanics and Optics. International Expert in the Field of High-performance Computing and Intelligence Systems