Abstract

This paper investigates the performance limitation of multi-input multi-output (MIMO) networked control systems (NCSs). The communication channel is modeled as a power constrained channel with channel noise and the bandwidth constraints. The optimal performance index of the system is expressed by the covariance of the reference input signal and the system output error signal. Some new results about MIMO NCSs are obtained by co-prime factorization, inner-outer factorization and spectral decomposition techniques. The results demonstrate that the tracking performance depends on the non-minimum phase zeros, unstable poles and their directions. At the same time, the network communication parameters constraints, energy constraints and the essential feature of reference input signal also restrict the performance. Some illustrative examples are presented to demonstrate the feasibility of the proposed methods.

Highlights

  • In recent decades, network control systems(NCSs) have attracted people’s attention because of its wide application [1]–[6], such as smart grid [7], mobile sensor networks [8], transportation systems [9] and robot control

  • The performance limitation for networked control systems (NCSs) under two-channel constraints is investigated in this paper

  • The obtained results show that the performance limitation for NCSs is related to the intrinsic properties of a given plant such as locations and directions of nonminimum phase zeros and unstable poles

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Summary

Performance Analysis of NCSs Under Channel Noise and Bandwidth Constraints

XI-SHENG ZHAN 1, WEN-KANG ZHANG 1, JIE WU 1, AND HUAI-CHENG YAN 2, (Member, IEEE) This work was supported in part by the National Natural Science Foundation of China under Grant 61971181 and Grant 61602163, in part by the Science Fund for Distinguished Young Scholars of Hubei Province under Grant 2017CFA034, and in part by the Youth Technology Innovation Team of Hubei Province under Grant T201710.

INTRODUCTION
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