Adaptive neural control and modeling for continuous stirred tank reactor with delays and full state constraints

HIGHLIGHTS

• who: Dongjuan Li and collaborators from the School of Chemical and Environmental Engineering, Liaoning University of Technology, Jinzhou, Liaoning, China have published the paper: Adaptive Neural Control and Modeling for Continuous Stirred Tank Reactor with Delays and Full State Constraints, in the Journal: Complexity 0.8 of 21/03/2021
• what: In this paper an adaptive neural network control method is described to stabilize a continuous stirred tank reactor (CSTR) subject to unknown time-varying delays and full state constraints.
• how: The simulation results are shown as Figures 2-5 to certify the . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or Email

  Password

  Remember me

  Lost your password?

  If you don't have an account, you can create one here.