Optimal Tracking Performance of Networked Control Systems Under Communication Channel Noise

In networked control systems (NCSs), the network-induced delay, packet dropouts, noise and other constraints in the communication network will affect the optimal tracking performance (OTP) and even the system's stability, which is also a problem that the NCSs approach must solve in practical applications. In this study, we primarily examine the OTP of NCSs that consider packet dropouts and nonzero mean additive white noise (AWN) constraints in communication networks. Based on the single-degree-of-freedom (SDOF) controller and the two-degree-of-freedom (TDOF) controller, respectively, using the coprime factorization and Youla parameterization approach, the explicit expressions of the OTP limitation of the NCSs under the constraints of nonzero mean noise and packet dropouts are obtained. The results reveal that the intrinsic features of the plant and the communication parameters of the network channel will affect the OTP of the NCSs. Finally, the correctness of the theoretical results is verified by the simulation of a multi-input and multioutput plant and an inverted pendulum system.

Automated summary

This study focuses on the optimal tracking performance (OTP) of networked control systems (NCSs) considering packet dropouts and noise constraints in communication networks, and provides explicit expressions for the OTP limitation under these constraints. The results indicate that the intrinsic features of the plant and the communication parameters of the network channel will affect the OTP of the NCSs.