Abstract
This paper investigates a new alternative approach to compensate for the effects of packet dropouts (data do not arrive at destination) on a dynamic networked control system (NCS). The approach uses an observer-based control computation using time-delay predicted values as the sampling times of the NCS. To obtain the predicted values of time delays we propose the use a one-step-ahead and multi-step prediction algorithms based on an adaptive time delay neural network (TDNN). The control gains are calculated using optimal control.
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.
