相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Enhanced P-Type Control: Indirect Adaptive Learning From Set-Point Updates
Ronghu Chi et al.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL (2023)
Synchronization or cluster synchronization in coupled Van der Pol oscillators networks with different topological types
Wang Shuai et al.
PHYSICA SCRIPTA (2022)
Synchronization, symmetry and rotating periodic solutions in oscillators with Huygens' coupling
Wang Shuai et al.
PHYSICA D-NONLINEAR PHENOMENA (2022)
Hybrid data-driven fuzzy active disturbance rejection control for tower crane systems
Raul-Cristian Roman et al.
EUROPEAN JOURNAL OF CONTROL (2021)
Learning Hamiltonian dynamics with reservoir computing
Han Zhang et al.
PHYSICAL REVIEW E (2021)
The mechanism of rotating waves in a ring of unidirectionally coupled Lorenz systems
Shuai Wang et al.
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION (2020)
Mapping topological characteristics of dynamical systems into neural networks: A reservoir computing approach
Xiaolu Chen et al.
PHYSICAL REVIEW E (2020)
Predicting slow and fast neuronal dynamics with machine learning
Rosangela Follmann et al.
CHAOS (2019)
Forecasting chaotic systems with very low connectivity reservoir computers
Aaron Griffith et al.
CHAOS (2019)
Model-free prediction of spatiotemporal dynamical systems with recurrent neural networks: Role of network spectral radius
Junjie Jiang et al.
PHYSICAL REVIEW RESEARCH (2019)
Attractor reconstruction by machine learning
Zhixin Lu et al.
CHAOS (2018)
Observing spatio-temporal dynamics of excitable media using reservoir computing
Roland S. Zimmermann et al.
CHAOS (2018)
Existence and multiplicity of rotating periodic solutions for resonant Hamiltonian systems
Guanggang Liu et al.
JOURNAL OF DIFFERENTIAL EQUATIONS (2018)
Model-Free Prediction of Large Spatiotemporally Chaotic Systems from Data: A Reservoir Computing Approach
Jaideep Pathak et al.
PHYSICAL REVIEW LETTERS (2018)
Using reservoir computers to distinguish chaotic signals
T. L. Carroll
PHYSICAL REVIEW E (2018)
Rotating periodic solutions for asymptotically linear second-order Hamiltonian systems with resonance at infinity
Guanggang Liu et al.
MATHEMATICAL METHODS IN THE APPLIED SCIENCES (2017)
EXISTENCE OF ROTATING-PERIODIC SOLUTIONS FOR NONLINEAR SYSTEMS VIA UPPER AND LOWER SOLUTIONS
Xue Yang et al.
ROCKY MOUNTAIN JOURNAL OF MATHEMATICS (2017)
Using machine learning to replicate chaotic attractors and calculate Lyapunov exponents from data
Jaideep Pathak et al.
CHAOS (2017)
Metastable and chaotic transient rotating waves in a ring of unidirectionally coupled bistable Lorenz systems
Yo Horikawa
PHYSICA D-NONLINEAR PHENOMENA (2013)
Reservoir computing approaches to recurrent neural network training
Mantas Lukosevicius et al.
COMPUTER SCIENCE REVIEW (2009)
Experimental study of the transitions between synchronous chaos and a periodic rotating wave
Esteban Sanchez et al.
CHAOS (2006)
Harnessing nonlinearity: Predicting chaotic systems and saving energy in wireless communication
H Jaeger et al.
SCIENCE (2004)
The synchronization of chaotic systems
S Boccaletti et al.
PHYSICS REPORTS-REVIEW SECTION OF PHYSICS LETTERS (2002)
Reconstructing embedding spaces of coupled dynamical systems from multivariate data
S Boccaletti et al.
PHYSICAL REVIEW E (2002)