Abstract
In this paper we consider task scheduling when sensing and controlling over a network with packet dropping links. We find optimum ways of allocating limited computing resources for estimation and control of a number of linear dynamical systems with different characteristics over communication links with different qualities. We find theoretical expressions relating the optimum sampling rates of the dynamical systems to the characteristics of the communication links and dynamics of the plants. We derive optimum ways of task scheduling for two performance metrics: decay rate and the asymptotic value. The work lays the theoretical foundations for considering the impact of both limited computing and communication resources on estimation and 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.
