Neural-network-based reinforcement learning controller for nonlinear systems with non-symmetric dead-zone inputs

@article{Zhang2009NeuralnetworkbasedRL,
  title={Neural-network-based reinforcement learning controller for nonlinear systems with non-symmetric dead-zone inputs},
  author={Xin Zhang and Huaguang Zhang and Derong Liu and Yongsu Kim},
  journal={2009 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning},
  year={2009},
  pages={124-129}
}
A novel adaptive-critic-based NN controller using reinforcement learning is developed for a class of nonlinear systems with non-symmetric dead-zone inputs. The adaptive critic NN controller uses two NNs: the critic NN is used to approximate the strategic utility function, and the output of action NN is used to approximate the unknown nonlinear function and… CONTINUE READING