A Galerkin/Neural-Network-Based Design of Guaranteed Cost Control for Nonlinear Distributed Parameter Systems

@article{Wu2008AGD,
  title={A Galerkin/Neural-Network-Based Design of Guaranteed Cost Control for Nonlinear Distributed Parameter Systems},
  author={Huai-Ning Wu and Han-Xiong Li},
  journal={IEEE Transactions on Neural Networks},
  year={2008},
  volume={19},
  pages={795-807}
}
This paper presents a Galerkin/neural-network- based guaranteed cost control (GCC) design for a class of parabolic partial differential equation (PDE) systems with unknown nonlinearities. A parabolic PDE system typically involves a spatial differential operator with eigenspectrum that can be partitioned into a finite-dimensional slow one and an infinite… CONTINUE READING