Neural approximations for multistage optimal control of nonlinear stochastic systems

This publication has 11 references indexed in Scilit:

• A receding-horizon regulator for nonlinear systems and a neural approximation
  Automatica, 1995
• Neural networks for feedback feedforward nonlinear control systems
  IEEE Transactions on Neural Networks, 1994
• Diffusion Approximations for the Constant Learning Rate Backpropagation Algorithm and Resistance to Local Minima
  Neural Computation, 1994
• Regularization Theory, Radial Basis Functions and Networks
  Published by Springer Nature ,1994
• Neural networks for nonlinear state estimation
  International Journal of Robust and Nonlinear Control, 1994
• A Simple Lemma on Greedy Approximation in Hilbert Space and Convergence Rates for Projection Pursuit Regression and Neural Network Training
  The Annals of Statistics, 1992
• Learning Techniques and Neural Networks for the Solution of N-Stage Nonlinear Nonquadratic Optimal Control Problems
  Published by Springer Nature ,1992
• Multilayer feedforward networks are universal approximators
  Neural Networks, 1989
• Applications of Automatic Control Concepts to Traffic Flow Modeling and Control
  Published by Springer Nature ,1983
• The design of suboptimal linear time-varying systems
  IEEE Transactions on Automatic Control, 1968