DETERMINISTIC LEARNING OF NONLINEAR DYNAMICAL SYSTEMS

DOI10.1142/S0218127409023640zbMath1168.68503MaRDI QIDQ3394422

Cong Wang, Tianrui Chen, Guan-Rong Chen, David John Hill

Publication date: 31 August 2009

Published in: International Journal of Bifurcation and Chaos (Search for Journal in Brave)

zbMATH Keywords

nonlinear dynamical systemsRBF networksPE condition

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Identification in stochastic control theory (93E12)

Related Items (8)

Fault detection for nonlinear discrete-time systems via deterministic learning ⋮ Identification of the FitzHugh–Nagumo Model Dynamics via Deterministic Learning ⋮ Deterministic learning-based neural network control with adaptive phase compensation ⋮ Early detection of rotating stall in axial flow compressors via deterministic learning: detectability analysis ⋮ Spiral Tip Recognition via Deterministic Learning ⋮ Passive Control of Lorenz Chaos System with Nonlinear Virtual Contraction Analysis ⋮ Spiral Tip Identification via Deterministic Learning ⋮ Rapid isolation of small oscillation faults via deterministic learning

Cites Work

• Interpolation of scattered data: distance matrices and conditionally positive definite functions
• Chaotic attractors in delayed neural networks
• Nonlinear system identification using Lyapunov based fully tuned dynamic RBF networks
• An equation for continuous chaos
• YET ANOTHER CHAOTIC ATTRACTOR
• Deterministic Nonperiodic Flow
• Persistency of Excitation in Identification Using Radial Basis Function Approximants
• Stable sequential identification of continuous nonlinear dynamical systems by growing radial basis function networks
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