Abstract
We propose a design procedure of neural internal model control systems for processes with delay. We assume that a stable discrete-time neural model of the process is available. We show that the design of a model reference controller for internal model control necessitates only the training of the inverse of the model deprived from its delay, provided this inverse exists and is stable. As the robustness properties intrinsic to internal model control systems are only obtained if the inverse model is exact, it is also shown how to limit the effects of a possible inaccuracy of the inverse model due to its training. Computer simulations illustrate the proposed design procedure.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
