Convergence Analysis and Digital Implementation of a Discrete-Time Neural Network for Model Predictive Control

@article{Lu2014ConvergenceAA,
  title={Convergence Analysis and Digital Implementation of a Discrete-Time Neural Network for Model Predictive Control},
  author={Yang Lu and Dewei Li and Zuhua Xu and Yugeng Xi},
  journal={IEEE Transactions on Industrial Electronics},
  year={2014},
  volume={61},
  pages={7035-7045}
}
In this paper, a discrete-time neural network for solving convex quadratic programming (QP) problems in constrained model predictive control (MPC) technology is investigated and implemented on a digital signal processor (DSP) device. This makes it possible to apply MPC technology to local control for high-dimensional multiple-input-multiple-output systems. The convergence issue of the discrete-time neural network is first studied. By choosing a proper error function, a sufficient condition is… CONTINUE READING