https://wulixb.iphy.ac.cn/en/article/doi/10.7498/aps.58.3747?viewType=HTML
Projective synchronization of fractional-order chaotic systems based on sliding mode control
For the projective synchronization of fractional-order chaotic systems,a controller based on active sliding mode theory is presented. Based on the stability...
sliding mode controlchaotic systemsprojectivesynchronizationfractional
https://scholar.xjtu.edu.cn/zh/publications/synchronization-of-uncertain-chaotic-systems-with-parameters-pert/
Synchronization of uncertain chaotic systems with parameters perturbation via active control -...
chaotic systemssynchronizationuncertainparametersperturbation
https://cpb.iphy.ac.cn/en/article/doi/10.1088/1009-1963/15/6/014?viewType=HTML
Prediction of chaotic systems with multidimensional recurrent least squares support vector machines
In this paper, we propose a multidimensional version of recurrent least squares support vector machines (MDRLS-SVM) to solve the problem about the prediction...
support vector machineschaotic systemsleast squarespredictionmultidimensional
https://cpb.iphy.ac.cn/article/doi/10.1088/1674-1056/23/10/100504
Finite-time sliding mode synchronization of chaotic systems
A new finite-time sliding mode control approach is presented for synchronizing two different topological structure chaotic systems. With the help of the...
sliding modechaotic systemsfinitetimesynchronization
https://www.journalimcms.org/cd_review_report/secure-communication-using-the-synchronization-of-two-fractional-order-chaotic-systems-with-order-changes-using-the-finite-time-optimal-control-approach/
Secure communication using the synchronization of two fractional-order chaotic systems with order...
secure communicationchaotic systemsusingsynchronizationtwo
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https://deep.ai/publication/markov-neural-operators-for-learning-chaotic-systems
Markov Neural Operators for Learning Chaotic Systems | DeepAI
Jun 13, 2021 - 06/13/21 - Chaotic systems are notoriously challenging to predict because of their instability. Small errors accumulate in the simulation of ...
neural operatorschaotic systemsmarkovlearningdeepai
https://nuit-blanche.blogspot.com/2016/08/exact-recovery-of-chaotic-systems-from.html
Nuit Blanche: Exact Recovery of Chaotic Systems from Highly Corrupted Data
A blog about Compressive Sensing, Computational Imaging, Machine Learning. Using priors to avoid the curse of dimensionality arising in Big Data.
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https://anishacharya.github.io/papers/multiwing/
Optimum PID Control of Multi-wing Attractors in A Family of Lorenz-like Chaotic Systems · Anish...
Applies real-coded genetic-algorithm optimization to tune PID control of Lorenz-like multi-wing chaotic attractors and compares the resulting state...
pid controlin achaotic systemsoptimummulti
https://cpb.iphy.ac.cn/article/doi/10.1088/1009-1963/16/9/018
Generalized synchronization of two different chaotic systems
In this paper, generalized synchronization of two different chaotic dynamical systems is investigated. An active control is adopted to construct a response...
chaotic systemsgeneralizedsynchronizationtwodifferent
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