Abstract
This paper presents a networked model predictive control (MPC) strategy for the finite-time convergence of networked control systems with two-channel random communication constraints. Network-induced delays and packet dropouts in the backward and forward channels are transformed into the equivalent delays in each channel, which are actively compensated in the controller and actuator, respectively. Future control inputs are obtained by a finite-time MPC strategy, and the upper bound of the convergence time is given by theoretical analysis. Finally, the proposed scheme is verified by the numerical simulation of a mass-spring-damper system.
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 callMore From: IEEE Transactions on Circuits and Systems II: Express Briefs
Disclaimer: 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.
