Combining neural and conventional paradigms for modelling,prediction and control
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Publication:3124688
DOI10.1080/00207729708929364zbMath0869.93006OpenAlexW2070105158MaRDI QIDQ3124688
Publication date: 4 September 1997
Published in: International Journal of Systems Science (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00207729708929364
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Cites Work
- A recurrent neural network-based adaptive variable structure model-following control of robotic manipulators
- Identification of nonlinear systems using empirical data and prior knowledge -- An optimization approach
- Non‐linear system identification and control based on neural and self‐tuning control
- GMV technique for nonlinear control with neural networks
- Nonlinear system identification using neural state space models, applicable to robust control design
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