Dynamic weights feedback scheduling of resource-constrained real-time control systems

In resource-constrained real-time control systems, optimization of computing resources allocation, via feedback of the plant states, is very important. Based on the optimal feedback scheduling, this article utilizes a simplified mapping function to map the plant states to the dynamic weights of the computing resources allocation. Simulation results illustrate that the overhead of dynamic feedback scheduling is less than that of the optimal states feedback scheduling, and the performance is better than that of the optimal feedback scheduling.