Model predictive control of time-delayed restraint system based on neurodynamical optimization

作者：Peng Yonggang^*; Wei Wei; Wang Jun

来源：Chinese Journal of Scientific Instrument, 2013, 34(5): 961-966.

• Application fields
• Dual neural networks
• Fast optimizations
• Online optimization
• Optimization method
• Optimization problems
• Restraint systems
• Time-delayed systems

In this paper, online optimization problem of model predictive control (MPC) of time-delayed system with restraints is described as an quadratic programming (QP) problem with restraints and a dual neural network is used to solve this problem.This neurodynamical optimization method exerts the advanteages of neural network that neural network can solve problems in parallelly and distributedly, and has fast optimization speed; and this method can be used to solve all kinds of complicated optimization problems with restraints. Experiment study results show that the proposed MPC method has good optimization precision and optimization speed, and this neurodynamical optimization method improves the online optimization capability of MPC.The proposed MPC method based on neurodynamical optimization extends the application fields of MPC.

• 出版日期2013
• 单位浙江大学