Prediction based chaos control via a new neural network

DOI10.1016/j.physleta.2008.10.012zbMath1227.34064OpenAlexW1968980724MaRDI QIDQ646910

Liqun Shen, Mao Wang, Guanghui Sun, Wan-Yu Liu

Publication date: 30 November 2011

Published in: Physics Letters. A (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.physleta.2008.10.012

zbMATH Keywords

neural networkchaos controllogistic mapLorenz systemnonlinear approximationchaos prediction

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Transportation, logistics and supply chain management (90B06) Neural nets applied to problems in time-dependent statistical mechanics (82C32) Strange attractors, chaotic dynamics of systems with hyperbolic behavior (37D45) Attractors of solutions to ordinary differential equations (34D45) Chaos control for problems involving ordinary differential equations (34H10)

Related Items (1)

Intelligent control of chaos using linear feedback controller and neural network identifier

Cites Work

• Adaptive control of chaotic systems based on a single layer neural network
• Regularized local linear prediction of chaotic time series
• Prediction-based control of chaos
• Predicting chaotic time series with wavelet networks
• Controlling chaos
• An invariant-manifold-based method for chaos control
• Prediction of Chaotic Time Series Based on the Recurrent Predictor Neural Network
• Controlling chaotic dynamical systems
• Controlling chaotic dynamical systems

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