A neurofuzzy network structure for modelling and state estimation of unknown nonlinear systems

DOI10.1080/00207729708929393zbMath0883.93007OpenAlexW2069258612MaRDI QIDQ4352590

Zhiqiao Wu, Chris Harris

Publication date: 16 March 1998

Published in: International Journal of Systems Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207729708929393

zbMATH Keywords

system identificationnonlinear system\(B\)-splinefuzzy logic systemadaptive state estimationneurofuzzy network

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Fuzzy control/observation systems (93C42) Neural networks for/in biological studies, artificial life and related topics (92B20) Nonlinear systems in control theory (93C10)

Related Items (2)

Supervised training algorithms for B-Spline neural networks and neuro-fuzzy systems ⋮ An improved fuzzy Kalman filter for state estimation of non-linear systems

Uses Software

• System Identification Toolbox
• Neural Network Toolbox
• NNSYSID

Cites Work

• Pad-analysis of fuzzy control stability
• Modelling and control of nonlinear, operating point dependent systems via associative memory networks
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