A multilayer recurrent neural network for solving continuous-time algebraic Riccati equations

@article{Wang1998AMR,
  title={A multilayer recurrent neural network for solving continuous-time algebraic Riccati equations},
  author={Jun Wang and Guang Wu},
  journal={Neural networks : the official journal of the International Neural Network Society},
  year={1998},
  volume={11 5},
  pages={939-950}
}
A multilayer recurrent neural network is proposed for solving continuous-time algebraic matrix Riccati equations in real time. The proposed recurrent neural network consists of four bidirectionally connected layers. Each layer consists of an array of neurons. The proposed recurrent neural network is shown to be capable of solving algebraic Riccati equations and synthesizing linear-quadratic control systems in real time. Analytical results on stability of the recurrent neural network and… CONTINUE READING
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