Control of chaotic dynamical systems using radial basis function network approximators

DOI10.1016/S0020-0255(00)00074-8zbMath0981.93512MaRDI QIDQ5946274

Yoon Ho Choi, Keun Bum Kim, Jin Bae Park, Guan-Rong Chen

Publication date: 21 March 2002

Published in: Information Sciences (Search for Journal in Brave)

zbMATH Keywords

chaos controlradial basis function networkschaotic systemslinear feedback controlnonlinear function approximation

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Nonlinear systems in control theory (93C10)

Related Items (5)

Indirect adaptive control of nonlinear dynamic systems using self recurrent wavelet neural networks via adaptive learning rates ⋮ Data-driven forecasting of high-dimensional chaotic systems with long short-term memory networks ⋮ Control of chaotic dynamical systems using support vector machines ⋮ A fuzzy neural network approximator with fast terminal sliding mode and its applications ⋮ On stability analysis via Lyapunov exponents calculated based on radial basis function networks

Cites Work

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• Recursive hybrid algorithm for non-linear system identification using radial basis function networks
• On feedback control of chaotic continuous-time systems
• OPTIMAL CONTROL OF CHAOTIC SYSTEMS
• EFFECTS OF THE SAMPLING TIME ON THE DYNAMICS AND IDENTIFICATION OF NONLINEAR MODELS
• Controlling chaos

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