Abstract
In this paper we propose a variable sampling rate approach for networked control system. During control procedure we regulate sampling rate in terms of system behavior intensity. Input increment is used as indicator to reflect the system intensity. A regulator is placed at the controller side, with full-state feedback it can predict the system behavior in the future and determine the next sampling instant according our regulation rule. We implement our approach both over ideal network and average modeled dropout network. By simulation we show that by using our approach we realize more effective usage of network bandwidth than using constant sampling rate. We also present simulation method, wherein we can find regulation rule that optimize the networked control systems.
Published Version
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.
