A Model Predictive Control Algorithm Based on Biological Regulatory Mechanism and Operational Research

Dear Editor, This letter presents an intelligent model predictive control algorithm inspired by biological regulatory mechanism and operational research. In terms of overall architecture, based on biological regulatory system and operational research theory, priority factor module and central coordination module are innovatively added on the basis structure of heuristic dynamic programming to carry out overall regulation of the system. In internal structure, the neural network is integrated with the biofeedback mechanism, and a new multi-level feedback neural network that can obtain more feedback information is proposed. The network is applied to the model network, action network and critic network of the algorithm. The convergence speed is greatly improved and the predictive control speed for nonlinear time-varying systems is improved on the premise of ensuring the control accuracy. The effectiveness and superiority of the proposed algorithm in prediction and control are verified by experiment.