Ivan Tyukin
Cited by
Cited by
Neural network control systems
VA Terekhov, DV Efimov, IY Tyukin
M.: IPRZhR, 2002
Adaptation in Nonlinear Dynamical Systems (Adaptatsiya v nelineinykh dinamicheskikh sistemakh)
IY Tyukin, VA Terekhov
M.: Izd-vo LKI, 2008
Semi-passivity and synchronization of diffusively coupled neuronal oscillators
E Steur, I Tyukin, H Nijmeijer
Physica D: Nonlinear Phenomena 238 (21), 2119-2128, 2009
Adaptive Control in Technical Sytems (Adaptivnoe Upravlenie v Tekhnicheskikh Systemakh)
VN Antonov, VA Terekhov, IY Tyukin
СПб.: Издательство С.-Петербургского университета, 2001
Adaptation and Parameter Estimation in Systems with Unstable Target Dynamics and Nonlinear Parametrization
I Tyukin, D Prokhorov, C Van Leeuwen
IEEE Transactions on Automatic Control 52 (9), 1543-1559, 2007
Approximation with random bases: Pro et contra
AN Gorban, IY Tyukin, DV Prokhorov, KI Sofeikov
Information Sciences 364, 129-145, 2016
Adaptive observers and parameter estimation for a class of systems nonlinear in the parameters
IY Tyukin, E Steur, H Nijmeijer, C Van Leeuwen
Automatica 49 (8), 2409-2423, 2013
Adaptive behavior with fixed weights in RNN: an overview
DV Prokhorov, LA Feldkarnp, IY Tyukin
Neural Networks, 2002. IJCNN'02. Proceedings of the 2002 International Joint …, 2002
Blessing of dimensionality: mathematical foundations of the statistical physics of data
AN Gorban, IY Tyukin
Philosophical Transactions of the Royal Society A: Mathematical, Physical …, 2018
Adaptive control with nonconvex parameterization
IY Tyukin, DV Prokhorov, VA Terekhov
IEEE transactions on automatic control 48 (4), 554-567, 2003
Sufficient conditions for synchronization in an ensemble of Hindmarsh and Rose neurons: Passivity-based approach
WT Oud, I Tyukin, H Nijmeijer
Proceedings NOLCOS 2004, 2004
Adaptation in dynamical systems
I Tyukin
Cambridge University Press, 2011
Nejrosetevye sistemy upravlenija
VA Terechov, DV Efimov, IJ Tjukin
Izdat. Predprijatie Red. Žurnala Radiotechnika, 2002
Stochastic Separation Theorems
AN Gorban, IY Tyukin
Neural Networks 94, 255-259, 2017
Feasibility of random basis function approximators for modeling and control
IY Tyukin, DV Prokhorov
2009 IEEE Control Applications,(CCA) & Intelligent Control,(ISIC), 1391-1396, 2009
Correction of AI systems by linear discriminants: Probabilistic foundations
AN Gorban, A Golubkov, B Grechuk, EM Mirkes, IY Tyukin
Information Sciences 466, 303-322, 2018
Invariant template matching in systems with spatiotemporal coding: A matter of instability
I Tyukin, T Tyukina, C Van Leeuwen
Neural Networks 22 (4), 425-449, 2009
Nonuniform small-gain theorems for systems with unstable invariant sets
I Tyukin, E Steur, H Nijmeijer, C Van Leeuwen
SIAM Journal on Control and Optimization 47 (2), 849-882, 2008
High-dimensional brain: A tool for encoding and rapid learning of memories by single neurons
I Tyukin, AN Gorban, C Calvo, J Makarova, VA Makarov
Bulletin of Mathematical Biology 81 (11), 4856-4888, 2019
One-Trial Correction of Legacy AI Systems and Stochastic Separation Theorems
AN Gorban, I Romanenko, R Burton, IY Tyukin
Information Sciences 484, 237-254, 2019
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