Adaptive Learning Control for Finite Interval Tracking Based on Constructive Function Approximation and Wavelet

@article{Xu2011AdaptiveLC,
  title={Adaptive Learning Control for Finite Interval Tracking Based on Constructive Function Approximation and Wavelet},
  author={Jian-Xin Xu and Rui Yan},
  journal={IEEE Transactions on Neural Networks},
  year={2011},
  volume={22},
  pages={893-905}
}
Using a constructive function approximation network, an adaptive learning control (ALC) approach is proposed for finite interval tracking problems. The constructive function approximation network consists of a set of bases, and the number of bases can evolve when learning repeats. The nature of the basis allows the continuous adaptive learning of parameters when the network undergoes any structural changes, and consequently offers the flexibility in tuning the network structure. The… CONTINUE READING
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