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Output Tracking and Regulation of Networked Control Systems Under Finite Bandwidth Constraints and Its Applications
Abstract
Studying the performance limitations of communication constrained networked control systems (NCSs) is of utmost significance and poses a considerable challenge from an academic standpoint. This article investigates the tracking performance limitations (TPL) and regulation performance limitations (RPL) of a NCS with communication constraints in the network channel, such as network-induced delay, packet loss, additive non-zero mean (ANZM) noise, finite bandwidth, and encoding-decoding constraints. Explicit expressions for the TPL and RPL of NCS are derived using Youla parameterization method-based two-degree-of-freedom (TDOF) control techniques, various decomposition techniques, and related statistical theory. The results show that in addition to the essential characteristics of the plant such as non-minimum phase (NMP) zeros and unstable (US) poles, communication constraints will also deteriorate the control performance of the system. Finally, we apply the theoretical results to inverted pendulum system and two input and two output plant through numerical simulation, and the correctness of the results is verified.
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Cites
Introduction to Stochastic Control Theory
(1970) · Mathematics in Science and Engineering/Mathematics in science and engineering · doi:10.1016/s0076-5392(09)x6015-7 · Cited by 3,205
(1987) · Springer eBooks · doi:10.1007/bfb0007371 · Cited by 2,528
Networked control systems: a survey of trends and techniques
Zhang, X., Han, Q., Ge, X., et al. (2019) · IEEE/CAA Journal of Automatica Sinica · doi:10.1109/jas.2019.1911651 · Cited by 963
An Overview of Recent Advances in Coordinated Control of Multiple Autonomous Surface Vehicles
Peng, Z., Wang, J., Wang, D., et al. (2020) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2020.3004343 · Cited by 759
Wang, Y., & Han, Q. (2018) · Automatica · doi:10.1016/j.automatica.2018.01.026 · Cited by 325
Self-citationPeriodic Event-Triggered Control for Nonlinear Networked Control Systems
Wang, W., Postoyan, R., Nešić, D., & Heemels, W. P. M. H. (2019) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2019.2914255 · Cited by 209
Limitations on maximal tracking accuracy
Chen, J., Qiu, L., & Toker, O. (2000) · IEEE Transactions on Automatic Control · doi:10.1109/9.839960 · Cited by 199
Best tracking and regulation performance under control energy constraint
Chen, J., Hara, S., & Chen, G. (2003) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2003.815012 · Cited by 160
Cuenca, Á., Antunes, D., Castillo, A., García, P., Khashooei, B. A., & Heemels, W. P. M. H. (2018) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2018.2850018 · Cited by 108
Output-Based Event-Triggered Predictive Control for Networked Control Systems
Yang, R., & Zheng, W. X. (2019) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2019.2958303 · Cited by 104
Fundamental limitations in control over a communication channel
Rojas, A. J., Braslavsky, J. H., & Middleton, R. H. (2008) · Automatica · doi:10.1016/j.automatica.2008.05.014 · Cited by 90
Sun, H., Sun, J. Q., & Chen, J. (2020) · Automatica · doi:10.1016/j.automatica.2020.109385 · Cited by 66
Jiang, X., Chi, M., Chen, X., Yan, H., & Huang, T. (2022) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2022.3164838 · Cited by 57
Self-citationOptimal linear filtering for networked control systems with time-correlated fading channels
Liu, W., & Shi, P. J. (2019) · Automatica · doi:10.1016/j.automatica.2018.11.042 · Cited by 56
Guan, Z.-H., Chen, C.-Y., Feng, G., et al. (2012) · IEEE Transactions on Circuits and Systems I Regular Papers · doi:10.1109/tcsi.2012.2215717 · Cited by 54
You, L., Jiang, X., Zhang, X., et al. (2022) · IEEE Transactions on Fuzzy Systems · doi:10.1109/tfuzz.2022.3143000 · Cited by 54
Self-citationZhan, X., Cheng, L., Wu, J., et al. (2019) · Journal of the Franklin Institute · doi:10.1016/j.jfranklin.2018.11.049 · Cited by 52
Optimal Tracking Performance of NCSs with Time-delay and Encoding-decoding Constraints
Hu, J., Zhan, X., Wu, J., et al. (2019) · International Journal of Control Automation and Systems · doi:10.1007/s12555-019-0300-5 · Cited by 51
Output Tracking Control of Single-Input–Multioutput Systems Over an Erasure Channel
Jiang, X., Chen, X., Huang, T., et al. (2020) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2020.3001592 · Cited by 42
Self-citationSignal-to-Noise Ratio Limited Output Feedback Control Subject to Channel Input Quantization
Rojas, A. J., & Lotero, F. (2014) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2014.2327452 · Cited by 39
Performance limitations in the robust servomechanism problem for discrete-time lti systems
Jemaa, L. B., & Davison, E. J. (2003) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2003.815010 · Cited by 39
Deep Reinforcement Learning-Based Control Framework for Multilateral Telesurgery
Bacha, S. C., Bai, W., Wang, Z., et al. (2022) · IEEE Transactions on Medical Robotics and Bionics · doi:10.1109/tmrb.2022.3170786 · Cited by 34
Limitations on minimum tracking energy for SISO plants
Wang, H.-N., Ding, L., Guan, Z., et al. (2009) · Chinese Control and Decision Conference (CCDC) · doi:10.1109/ccdc.2009.5192260 · Cited by 26
González, A., Cuenca, Á., Salt, J. J., & Jacobs, J. (2021) · Information Sciences · doi:10.1016/j.ins.2021.07.016 · Cited by 26
Sub-predictors for network-based control under uncertain large delays
Zhu, Y., & Fridman, E. (2020) · Automatica · doi:10.1016/j.automatica.2020.109350 · Cited by 25
Jiang, X., Chi, M., Chen, X., et al. (2021) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2021.3053010 · Cited by 24
Self-citationOptimal tracking performance of control systems with two-channel constraints
Chen, C., Hu, B., Guan, Z., et al. (2016) · Information Sciences · doi:10.1016/j.ins.2016.09.025 · Cited by 21
Tracking Performance of Feedback Systems Over a Fading Channel With Limited Bandwidth
Jiang, X., Zhang, B., Ahn, C. K., Zheng, S., & Yan, H. (2022) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2022.3204569 · Cited by 21
Self-citationOptimal Tracking Performance of Networked Control Systems Under Communication Channel Noise
Jiang, X., Li, J., Li, B., et al. (2023) · IEEE Transactions on Systems Man and Cybernetics Systems · doi:10.1109/tsmc.2023.3321074 · Cited by 16
Self-citationRobust Stabilization of a Class of Nonlinear Systems Controlled Over Communication Networks
Pin, G., Fenu, G., Casagrande, V., et al. (2020) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2020.3021039 · Cited by 14
Jiang, X., Zhang, B., Chen, X., & Yan, H. (2022) · Science China Information Sciences · doi:10.1007/s11432-022-3506-y · Cited by 14
Self-citationJiang, T., Zhang, Y., Park, J. H., et al. (2022) · Information Sciences · doi:10.1016/j.ins.2022.12.006 · Cited by 13
Performance limitations for networked control systems with plant uncertainty
Chi, M., Guan, Z., Cheng, X., et al. (2014) · International Journal of Systems Science · doi:10.1080/00207721.2014.924654 · Cited by 8
Signal-to-Noise Ratio Feedback Constraint for Non-Zero Mean Noise Processes
Rojas, A. J. (2021) · 2021 IEEE International Conference on Automation/XXIV Congress of the Chilean Association of Automatic Control (ICA-ACCA) · doi:10.1109/icaacca51523.2021.9465244 · Cited by 3
Flagged first, then by citations
Research works printed but not linked: 2
- He, 2006, Research on $\mu$ synthesis based hydroturbine governordesign, J. Elect. Electron. Eng., 6, 83
- Chen, 2020, Design of two-degree-of-freedom (TDF) controller based on low-pass filter, J. Nanjing Normal Univ., 35, 52
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Self-citationHan, F., & Jin, H. (2025) · IEEE Transactions on Fuzzy Systems · doi:10.1109/tfuzz.2025.3545740 · Cited by 13
“Autonomous aerial vehicle (AAV) groups can cooperate in disaster site search and rescue missions, and carry out efficient search and positioning in complex environments, greatly improving the timeliness and success rate of rescue [8].”
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Jiang, X., Ren, X., Li, B., et al. (2025) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2025.3615236 · Cited by 5
Self-citationBest Achievable Control Performance of Networked Systems Over Bandwidth-Constrained Channels
Li, R., Liang, H., Jiang, X., et al. (2026) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2026.3657370 · Cited by 5
Self-citationModified Tracking Performance of NCSs Over Erasure Channel and Its Applications in Vehicle Control
Jiang, X., Li, J., Zhang, C., et al. (2025) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2025.3591481 · Cited by 4
“Similar to traditional control systems, stability and performance are the two most crucial aspects in the research of NCSs [6], [7], [8].”
Self-citationOptimal Performance of Discrete Networked Systems With Cyber-Attack and Packet Dropouts
Jiang, X., Ren, X., Li, B., et al. (2025) · IEEE Transactions on Systems Man and Cybernetics Systems · doi:10.1109/tsmc.2025.3571466 · Cited by 3
“The communication constraints may cover bandwidth limitations [24], quantisation errors and sampling loss.”
Self-citationRegulation performance limitation of networked control systems under dual‐channel noise constraints
He, S., Yang, Q., Zhan, X., et al. (2025) · Asian Journal of Control · doi:10.1002/asjc.3578 · Cited by 2
“However, due to unreliable communication and limited channel capacity, NCSs face several challenges such as packet dropouts [12, 13], limited bandwidth [14, 15], quantization [16, 17], and noise-related issues [18].”
Zuo, X., Tang, X., Hu, T., et al. (2026) · IEEE Internet of Things Journal · doi:10.1109/jiot.2025.3650518 · Cited by 2
Li, Q., Gao, M., Liu, Y., et al. (2025) · Information Fusion · doi:10.1016/j.inffus.2025.104023 · Cited by 1
Zhang, Z., Huang, W., & Ge, C. (2026) · Nonlinear Dynamics · doi:10.1007/s11071-025-12058-3 · Cited by 1
“…to traditional centralizedcontrol systems, NCSs exhibit greater complexity in both scale and structure, while also encountering various uncertainties, such as network-induced delays [4], bandwidth limitations [5, 6], noise and interference [7], packet dropouts [8], and network attacks [9, 10].”
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Ren, X., Li, B., Zhao, F. J., et al. (2024) · China Automation Congress (CAC) · doi:10.1109/cac63892.2024.10864637
“However, the inclusion of networks also brings several challenges, such as channel noise [2], bandwidth constraints [3], and quantization [4].”
Self-citationZhang, B., & Ding, D. (2025) · Applied Mathematics and Computation · doi:10.1016/j.amc.2025.129469
Jiang, X., Zhang, W., Zhang, X., & Wang, Y. (2025) · IEEE Transactions on Automation Science and Engineering · doi:10.1109/tase.2025.3640272
“These factors include time delay [7], [8], [9] in the communication network, packet loss [10], [11], [12], noise interference [13], [14], and mixed-type attacks [15], among others.”
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Zhang, X.-H., Li, B., Jiang, X.-W., et al. (2025) · ISA Transactions · doi:10.1016/j.isatra.2025.12.027
Self-citationGuo, L., Yang, Q., Zhan, X., et al. (2026) · Asian Journal of Control · doi:10.1002/asjc.70127
Xia, W., Zhang, Z., Jia, X., Chen, W., & Wang, J. (2026) · Journal of the Franklin Institute · doi:10.1016/j.jfranklin.2026.108637
Defense Energy Allocation for Networked Control Systems Under False Data Injection Attacks
Liu, X.-H., & Yang, G. (2026) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2026.3686237
“Over the past decade, NCSs have gained extensive attention due to their advantages in design flexibility, cost-effectiveness, and ease of maintenance [3], [4], [5].”
Experimental Comparison of LQR and Predictive Control for a Networked Double Inverted Pendulum
Wang, M., Chen, X., Shi, Y., et al. (2026) · Chinese Control and Decision Conference (CCDC) · doi:10.1109/ccdc69976.2026.11560037
“However, practical networked implementations inevitably introduce measurement uncertainty [12], signal quantization, and communication-induced imperfections such as delays and packet dropouts [13], which may adversely affect closed-loop performance.”
Self-citationZhang, P., Peng, C., Liu, J. J. R., et al. (2026) · IEEE Transactions on Systems Man and Cybernetics Systems · doi:10.1109/tsmc.2026.3707319
“At the same time, communication limitations are often inevitable [4], [5], [6], [7], due to the inherent characteristics of shared network transmission and limited channel bandwidth.”
Best achievable tracking performance analysis for NCSs over fading channel with network attacks
Jiang, X., Wang, W., Li, B., et al. (2026) · Automatica · doi:10.1016/j.automatica.2026.113156
Self-citationMa, Y., Guo, S., & Zhang, J. (2026) · Fuzzy Sets and Systems · doi:10.1016/j.fss.2026.110038
Lei, C., Feng, W., Wang, Y., Chen, Y., Liu, X. R., Yin, L., & Ge, N. (2026) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2026.3715454
“In [19], the tracking performance limitation (TPL) and regulation performance limitation (RPL) of NCSs were investigated under communication constraints including network-induced delay, packet loss, and limited bandwidth, with explicit expressions for both TPL and RPL derived.”
Self-citationCommunication-induced dynamic control strategies under packet collisions and SNR variations
Liu, Y., Xiao, Y., & Li, T. (2026) · Ocean Engineering · doi:10.1016/j.oceaneng.2026.127894
Metadata
- Authors
- Jiang, X., Li, J., Li, B., Wang, Y.-W., & Huang, T.
- Affiliations
- China University of Geosciences (CN)
- Anhui University of Finance and Economics (CN)
- Huazhong University of Science and Technology (CN)
- Texas A&M University at Qatar (QA)
- Venue
- IEEE Transactions on Automatic Control
- Published
- 2024-09
- Volume
- 69
- Issue
- 9
- Pages
- 6490-6497
- ISSN
- 0018-9286 (ISSN-L)
- 1558-2523
- 2334-3303
- OpenAlex
- W4394744020
- Cited by
- 24
- References
- 34
- Citations by year
- 2026: 13 · 2025: 10 · 2024: 1
- FWCI
- 3.01
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- IEEE Transactions on Automatic Control (publishedVersion)
- Funders
- National Natural Science Foundation of China (62073302, 62173130, 62233006)
- Distinguished Young Scholars of Anhui Province Universities (2023AH020011)
- Topics
- Physical Sciences › Engineering › Control and Systems Engineering › Stability and Control of Uncertain Systems
- Physical Sciences › Engineering › Control and Systems Engineering › Advanced Control Systems Design
- Physical Sciences › Engineering › Mechanical Engineering › Teleoperation and Haptic Systems
- Keywords
- networked control systems, output tracking, regulation, performance bounds, network-induced delay, packet loss, Youla parameterization, two-degree-of-freedom control, non-minimum phase zeros, unstable poles, inverted pendulum
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