EconPapers    
Economics at your fingertips  
 

Optimal tracking and regulation performance of networked control systems with additive colored Gaussian noise and finite bandwidth

Bin Zhang and Da-Wei Ding

Applied Mathematics and Computation, 2025, vol. 501, issue C

Abstract: This paper investigates the optimal tracking and regulation performance of networked control systems (NCSs) with additive colored Gaussian noise (ACGN) and finite bandwidth. The bandwidth-limited channel is described as a non-minimum phase channel, which introduces additional restrictions on performance due to potential non-minimum-phase zeros (NMPZs). The optimal tracking and regulation performance of NCSs is derived using a frequency-domain analysis method and a two-degree-of-freedom control (TDOF) scheme. It is shown that the optimal tracking and regulation performance has a close relation with the intrinsic characteristic of the plant, NMPZs in the channel, bandwidth, and ACGN. Finally, the effectiveness of the proposed approach is verified through numerical simulations.

Keywords: Additive colored Gaussian noise; Bandwidth limitation; Optimal regulation performance; Optimal tracking performance; Networked control systems (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S009630032500195X
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:apmaco:v:501:y:2025:i:c:s009630032500195x

DOI: 10.1016/j.amc.2025.129469

Access Statistics for this article

Applied Mathematics and Computation is currently edited by Theodore Simos

More articles in Applied Mathematics and Computation from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-05-20
Handle: RePEc:eee:apmaco:v:501:y:2025:i:c:s009630032500195x