Optimal Tracking Performance Analysis Of Network Time-delay Systems With Colored Noise

With the rapid development of control and communication technologies,network time-delay systems have sparked a research boom in academia and industry.Network time-delay systems use communication networks to connect system components located in different locations to achieve remote manipulation that traditional control systems cannot do,but the introduction of networks also brings some serious challenges in that a series of communication constraints in the communication channel can limit the performance of the system or even destabilize it.Based on this,this paper will investigate the optimal tracking performance of network time-delay systems by considering a variety of communication constraints.The main contents are as follows:The optimal tracking performance of a codec structure-based network time-delay system under the influence of channel noise and bandwidth constraints is investigated.Using coprime decomposition and spectral decomposition techniques,an exact expression for the optimal tracking performance of the system is obtained while designing the optimal two-degree-of-freedom controller.The results show that the tracking performance of the system is determined by the non-minimum phase zeros and unstable poles of the controlled plant.In addition,the codec,channel noise and bandwidth constraints also significantly affect the tracking performance of the system.The optimal tracking performance of multi-input multi-output discrete network time-delay systems under various communication constraints such as quantization,bandwidth constraints,packet loss and colored noise is investigated,and the influence of channel power constraints is considered.By using frequency domain analysis method,the accurate expression of the optimal tracking performance of the system is obtained.The results show that the tracking performance of the system is determined by the essential characteristics of the system(the position and direction of nonminimum phase zeros and unstable poles,and the time-delay of the controlled plant).In addition,communication constraints such as quantization error,colored noise and bandwidth will also significantly affect the tracking performance of the system.The optimal tracking performance of multi-input multi-output discrete network time-delay systems is studied under the influence of input quantization and colored noise.A new performance index is proposed considering the output energy limitation of the channel,and an accurate expression of the optimal tracking performance is derived by designing an optimal two-degree-of-freedom controller.The results show that the performance of the system is determined by the position and direction of the non-minimum phase zeros and unstable poles and the time-delay of the controlled plant.In addition,quantization error of quantizer,bandwidth constraint and colored noise will affect the tracking performance of the system.