ZHANG Guan-yu, TIAN Jian-yan, ZHANG Wei-jie, et al. Human-simulated intelligent control based on parameters correcting by fuzzy neural network[J]. 2013, 32(10): 30-33.
ZHANG Guan-yu, TIAN Jian-yan, ZHANG Wei-jie, et al. Human-simulated intelligent control based on parameters correcting by fuzzy neural network[J]. 2013, 32(10): 30-33. DOI: 10.13873/j.1000-97872013.10.005.
Aiming at problem of low control precision and cannot meet requirement of production of strip thickness
combines fuzzy neural network with human-simulated intelligent control technology
design humansimulated intelligent control strategy of hot rolled strip steel thickness based on fuzzy neural network parameters setting
correct human-simulated intelligent controller parameters using fuzzy neural network.The simulation experiment result by Matlab shows that the human-simulated intelligent control method which based on fuzzy neural network has a better performance compared with PID control
it can provide a new effective method for the control of complex industrial process.