Ivan Tyukin
Ivan Tyukin
Professor of Mathematical Data Science and Modelling, King’s College London
Verified email at - Homepage
Cited by
Cited by
Neural network control systems
VA Terekhov, DV Efimov, IY Tyukin
Higher School, Moscow, 2002
Adaptation in Nonlinear Dynamical Systems (Adaptatsiya v nelineinykh dinamicheskikh sistemakh)
IY Tyukin, VA Terekhov
M.: Izd-vo LKI, 2008
Modern applied control theory (Sovremennaya prikladnaya teoriya upravleniya)
АА Колесников, ЛН Рассудов, ВБ Яковлев, ВА Новиков, ГЕ Веселов, ...
Технологический институт Федерального государственного образовательного …, 2000
Semi-passivity and synchronization of diffusively coupled neuronal oscillators
E Steur, I Tyukin, H Nijmeijer
Physica D: Nonlinear Phenomena 238 (21), 2119-2128, 2009
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 in Technical Sytems (Adaptivnoe Upravlenie v Tekhnicheskikh Systemakh)
VN Antonov, VA Terekhov, IY Tyukin
СПб.: Издательство С.-Петербургского университета, 2001
Approximation with random bases: Pro et contra
AN Gorban, IY Tyukin, DV Prokhorov, KI Sofeikov
Information Sciences 364, 129-145, 2016
Advances in data preprocessing for biomedical data fusion: An overview of the methods, challenges, and prospects
S Wang, ME Celebi, YD Zhang, X Yu, S Lu, X Yao, Q Zhou, MG Miguel, ...
Information Fusion 76, 376-421, 2021
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
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
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
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
Scikit-dimension: a python package for intrinsic dimension estimation
J Bac, EM Mirkes, AN Gorban, I Tyukin, A Zinovyev
Entropy 23 (10), 1368, 2021
The unreasonable effectiveness of small neural ensembles in high-dimensional brain
AN Gorban, VA Makarov, IY Tyukin
Physics of life reviews 31, 86-103, 2019
Stochastic Separation Theorems
AN Gorban, IY Tyukin
Neural Networks 94, 255-259, 2017
Adaptive control with nonconvex parameterization
IY Tyukin, DV Prokhorov, VA Terekhov
IEEE transactions on automatic control 48 (4), 554-567, 2003
How deep should be the depth of convolutional neural networks: a backyard dog case study
AN Gorban, EM Mirkes, IY Tyukin
Cognitive Computation, 2019
High-dimensional brain in a high-dimensional world: Blessing of dimensionality
AN Gorban, VA Makarov, IY Tyukin
Entropy 22 (1), 82, 2020
Adaptation in dynamical systems
I Tyukin
Cambridge University Press, 2011
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