Neural network based parameter estimation of unstable aerospace dynamic systems

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Neural network based parameter estimation of unstable aerospace dynamic systems

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The application of neural network based schemes for parameter estimation of unstable/augmented aerospace dynamic systems is considered. The parameter estimation algorithms are programmed within the structure of recurrent neural networks (RRNs). Numerical simulation results are given.

Inspec keywords: recurrent neural nets; stability; parameter estimation; aerospace

Other keywords: unstable aerospace dynamic systems; augmented aerospace dynamic systems; recurrent neural networks; neural network based parameter estimation

Subjects: Neural nets (theory); Simulation, modelling and identification

http://iet.metastore.ingenta.com/content/journals/10.1049/ip-cta_19941506
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