Optimal Delay Compensation in Networked Predictive Control
For control engineers designing Networked Control Systems, this work provides a method to optimize delay compensation, though it is incremental as it refines existing predictive control approaches.
This paper develops a systematic method to select the optimal delay bound in Networked Predictive Control, balancing prediction errors and open-loop operation due to communication losses. Simulation results show performance gains with the optimal bound.
Networked Predictive Control is widely used to mitigate the effect of delays and dropouts in Networked Control Systems, particularly when these exceed the sampling time. A key design choice of these methods is the delay bound, which determines the prediction horizon and the robustness to information loss. This work develops a systematic method to select the optimal bound by quantifying the trade-off between prediction errors and open-loop operation caused by communication losses. Simulation studies demonstrate the performance gains achieved with the optimal bound.