Intelligent Feedback Scheduling of Control Tasks

Abstract

an efficient feedback scheduling scheme based on the proposed Feed Forward Neural Network (FFNN)scheme is employed to improve the overall control performance while minimizing the overhead of feedbackscheduling which exposed using the optimal solutions obtained offline by mathematical optimization methods. Thepreviously described FFNN is employed to adapt online the sampling periods of concurrent control tasks withrespect to changes in computing resource availability. The proposed intelligent scheduler will be examined withdifferent optimization algorithms. An inverted pendulum cost function is used in these experiments. Then,simulation of three inverted pendulums as intelligent Real Time System (RTS) is described in details.Numerical simulation results demonstrates that the proposed scheme can reduce the computationaloverhead significantly while delivering almost the same overall control performance as compared to optimalfeedback scheduling