Cited by 178Advanced Control Systems DesignAdaptive Control of Nonlinear SystemsStability and Control of Uncertain Systems

The DOI matches its Crossref record; 43 of the 43 references it cites were found in a registry or an index.

Quantitative Tuning of Active Disturbance Rejection Controller for FOPTD Model With Application to Power Plant Control

Sun, Li, Xue, Wenchao, Li, Donghai, Zhu, Hongxia, Su, Zhi-gang·2022·IEEE Transactions on Industrial Electronics

DOI 10.1109/tie.2021.3050372

Open this paper in CoChat — free account

Abstract

Active disturbance rejection controller (ADRC) has achieved soaring success in motion controls featured by rapid dynamics. However, it turns obstreperous to implement it in the power plant process with considerable time-delay, largely because of the tuning difficulty. To this end, this article proposes a quantitative tuning rule for the time-delayed ADRC (TD-ADRC) structure based on the typical first order plus time delay (FOPTD) model. By compensating the FOPTD process as an integrator plus time delay in low frequencies, the gain parameter of TD-ADRC can be related to a scaled time constant which shapes the closed-loop tracking performance. Bandwidth parameter of extended state observer is scaled as a dimensionless parameter. A sufficient stability condition of TD-ADRC is theoretically derived in terms of the scaled parameter pair, the range of which falls within the practical interest. Relative delay margin is revealed as a critical robustness metric among others, a default pair of scaled parameter setting is recommended as well as an explicit retuning guideline according to the user's preference for performance or robustness. Simulation and laboratory water tank experiment validate the tuning efficacy and a coal mill temperature control test depicts a promising prospective of the proposed method in process control practice.

Integrity signals

Registry

Crossref · 10.1109/tie.2021.3050372

Cites

43 of 43 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

From PID to Active Disturbance Rejection Control
Han, J. (2009) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2008.2011621 · Cited by 6,803
Multivariable Feedback Control: Analysis and Design
Skogestad, S., & Postlethwaite, I. (1996) · Cited by 6,312
Computer controlled systems theory and design
Johnson, C. R. (1986) · Automatica · doi:10.1016/0005-1098(86)90095-6 · Cited by 3,012
Scaling and bandwidth-parameterization based controller tuning
Gao, Z. (2005) · Proceedings of the ... American Control Conference/Proceedings of the American Control Conference · doi:10.1109/acc.2003.1242516 · Cited by 2,453
Computer-controlled systems: Theory and design
Johnson, C. R. (1985) · Automatica · doi:10.1016/0005-1098(85)90050-0 · Cited by 2,367
Simple analytic rules for model reduction and PID controller tuning
Skogestad, S. (2002) · Journal of Process Control · doi:10.1016/s0959-1524(02)00062-8 · Cited by 2,040
Feedback systems: an introduction for scientists and engineers
Åström, K. J., & Murray, R. M. (2008) · Choice Reviews Online · doi:10.5860/choice.46-2107 · Cited by 1,968
Handbook of Pi and Pid Controller Tuning Rules
O’Dwyer, A. (2006) · IMPERIAL COLLEGE PRESS eBooks · doi:10.1142/9781860949104 · Cited by 1,015
Model predictive control: Review of the three decades of development
Lee, J. H. (2011) · International Journal of Control Automation and Systems · doi:10.1007/s12555-011-0300-6 · Cited by 643
Feedback Systems
Åström, K. J., & Murray, R. M. (2010) · Princeton University Press eBooks · doi:10.2307/j.ctvcm4gdk · Cited by 493

Show all 43 references

Research works printed but not linked: 2

strm, 2006, Advanced PID Control
10.1016/j.apenergy.2019.114381 · DOI

Sorted by citations

Items 101–178 of 178

Fuzzy Smith predictor–based active disturbance rejection controller for time-delay systems with application to drilling stick–slip vibration control
Ba, D., Chen, G., Li, P., An, K., & Liu, X. (2022) · Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control Engineering · doi:10.1177/09596518221134136 · Cited by 3
ADRC with built-in RLC control scheme for uncertain systems with periodic reference input
Li, X., Huang, J., Tian, S., & Ai, W. (2023) · IEEE Data Driven Control and Learning Systems Conference (DDCLS) · doi:10.1109/ddcls58216.2023.10165984 · Cited by 2
Adaptive variable gain linear active disturbance rejection control parameter optimization in magnetic levitation
Yi, P., Fan, K., & Wu, G. (2024) · Measurement and Control · doi:10.1177/00202940241295583 · Cited by 2
Active disturbance rejection control of large-scale uncertain industrial processes: A practical tuning case in thermal power units
Shen, W., Chen, Z., & Su, Z. (2025) · Transactions of the Institute of Measurement and Control · doi:10.1177/01423312251338888 · Cited by 2
Self-citation
A flexible operation scheme for ultra-supercritical unit under wide load variations based on improved EADRC and modified northern goshawk optimizer
Hou, G., Huang, W., & Ye, L. (2025) · Energy · doi:10.1016/j.energy.2025.137669 · Cited by 2
Deterministic Learning-based Fast Terminal Sliding Mode Control of a 2-DOF Helicopter System
He, W., Zhang, F., Yang, Q., Zhao, Z., Yang, C., & Wang, C. (2025) · IEEE Transactions on Aerospace and Electronic Systems · doi:10.1109/taes.2025.3626307 · Cited by 2
Hierarchical Reinforcement Learning EADRC Strategy for CHP Unit Integrated With Absorption Heat Pump Toward Fast Variable Load Demands
Ye, L., Hou, G., & Huang, W. (2025) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2025.3640960 · Cited by 2
ADRC Parameters Tuning Using Traditional and AI-Based Methods: A Survey
Kadri, K., Boudjema, F., Tibermacine, I. E., Bouzid, Y., Nail, B., Napoli, C., & Rabehi, A. (2025) · IEEE Access · doi:10.1109/access.2025.3649125 · Cited by 3
On Compensation Function Observer-Based Active Disturbance Rejection Control for MIMO Uncertain Systems and Its Application to 2-DOF Helicopter System
Liu, K., Chen, S., Zhao, Z., & Xue, W. (2026) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2026.3651375 · Cited by 2
Self-citation
Active disturbance rejection control for flight test chamber system subject to multi-source disturbances: An extended state observer with dynamic compensation approach
Xu, Z., Zhang, H., Xie, Y., Wang, X., & Zhai, C. (2026) · Aerospace Science and Technology · doi:10.1016/j.ast.2026.112123 · Cited by 2
Robust Active Disturbance Rejection Fractional-Order Control for Regenerative Chatter Suppression in Milling
Soufi, S., Mseddi, A., Chaari, R., Haddar, M., & Bouzida, I. (2026) · Applied Mechanics · doi:10.3390/applmech7020050 · Cited by 2
Fractional order active disturbance rejection control design for non-integer order plus time delay models
Yi, H., Wang, P.-H., & Zhao, G. (2022) · Transactions of the Institute of Measurement and Control · doi:10.1177/01423312221140631 · Cited by 2
ADRC Combined with IMC for Non-Minimum Phase Systems
Li, X., Deng, X., Tian, S., & Ai, W. (2023) · Chinese Control Conference (CCC) · doi:10.23919/ccc58697.2023.10240610 · Cited by 2
An improved grey wolf optimization algorithm for parameter tuning of active disturbance rejection control
Wang, H., Pan, T., & Fan, Y. C. (2023) · Intelligent Autonomous Systems · doi:10.1109/icoias61634.2023.00058 · Cited by 2
Design of Unmanned Helicopter Distributed Electric Tail Rotor Controller Based on Improved Active Disturbance Rejection Control
Zhang, Q., Ji, Y.-F., Wang, F., Pei, L., & Cha, Z.-M. (2024) · IEEE Access · doi:10.1109/access.2024.3427367 · Cited by 2
Disturbance rejection for multivariable processes with time delays based on partial inverted decoupling control
Du, X., Gan, L., Cai, W., Geng, N., & Jin, Q. (2024) · Measurement and Control · doi:10.1177/00202940241300405 · Cited by 2
Mismatched Disturbance Rejection Control for Second-Order Discrete-Time Systems
Lv, S., Peng, K., Wang, H., & Zhang, H. (2025) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2025.3558082 · Cited by 2
Active Disturbance Rejection Control Tuned by Fictitious Reference Iterative Tuning for Tower Crane Systems
Roman, R., Precup, R., Stebel, K., & Madoński, R. (2025) · European Control Conference (ECC) · doi:10.23919/ecc65951.2025.11187282 · Cited by 2
Exact robust tuning rules for integrating processes with dead time: a frequency response model matching approach
Ruan, S., Vilanova, R., & Zhang, W. (2022) · Chinese Control Conference (CCC) · doi:10.23919/ccc55666.2022.9901785 · Cited by 2
Active Disturbance Rejection Control of Underwater Vehicle with Omnidirectional Control
Zhang, W., Da, L., Guo, W.-H., Lv, Y., & Han, M. (2021) · Mathematical Problems in Engineering · doi:10.1155/2021/9911586 · Cited by 1
Twice-optimal control design with construction pruning for second order plus time delay systems
Li, C., Zhang, H., & Wang, Q. (2023) · ISA Transactions · doi:10.1016/j.isatra.2023.10.021 · Cited by 1
Model Predictive Path-Following Control for UGVs With Curvature Inaccuracy: A Disturbance Rejection Approach Combining Speed Regulation
Deng, Y., Wang, Y., Wang, H., & Zuo, Z. (2024) · IEEE Transactions on Intelligent Vehicles · doi:10.1109/tiv.2024.3427715 · Cited by 1
Extended state Kalman filter-based economic model predictive control of solar photovoltaic/thermal composite heat pump system
Li, S. U. N., MengDan, W. U., MengMeng, G. U. O., Sen, C. H. E. N., WenYin, X. U., & WenWu, Y. U. (2024) · Scientia Sinica Technologica · doi:10.1360/sst-2024-0019 · Cited by 1
Self-citation
DDPG-ADRC-Based Load Frequency Control for Multi-Region Power Systems with Renewable Energy Sources and Energy Storage Equipment
Dou, Z., Zhang, C., Zhou, X., Gao, D., & Liu, X. (2025) · Energies · doi:10.3390/en18143610 · Cited by 1
A method of LADRC design for HOPDT processes based on frequency domain analysis and its application in flocculant dosing control
Kim, S.-M., Paek, S.-Y., Pak, S.-H., Hwang, C.-J., & Kang, C.-H. (2025) · International Journal of Dynamics and Control · doi:10.1007/s40435-025-01859-4 · Cited by 1
Investigation of Control Systems of FOPDT Plants with Dynamics Asymmetry
Baškys, A. (2025) · Applied Sciences · doi:10.3390/app151910770 · Cited by 1
Resource allocation for high-order multiagent systems with uncertainties from non-neighboring nodes
He, J., Chen, S., & Xue, W. (2025) · Science China Information Sciences · doi:10.1007/s11432-024-4390-2 · Cited by 1
Self-citation
Airborne Laser Target Dynamic Tracking System Based on Inertial Reference Unit
Wang, W., Guo, X., Dong, Y., Wang, T., & Jiang, H. (2025) · IEEE Access · doi:10.1109/access.2025.3609515 · Cited by 1
A Precompensation-Based Active Disturbance Rejection Control Design for a Class of High-Order Plus Time-Delay Processes
Wu, Z., Li, Z., Liu, Y., Chen, S., & Chen, Y. (2026) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2025.3647797 · Cited by 1
Application Research of Several Improved Active Disturbance Rejection Control Methods for Superheated Steam Temperature System
Li, H., Wu, Z., Liu, Y., & Chen, Y. (2026) · IET Smart Energy Systems · doi:10.1049/ses2.70023 · Cited by 1
Adaptive Active Disturbance Rejection Control for Suppressing Multiple Uncertain Periodic Magnetic Field Disturbances
Chen, Y., Han, B., Tian, P., Shangguan, S., Li, Y., & Feng, R. (2026) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2026.3672780 · Cited by 1
Adaptive active disturbance rejection control via extremum seeking for engine speed regulation under unknown moment of inertia
Song, K., Han, X., Chen, S., Lv, Q., & Xie, H. (2026) · Nonlinear Dynamics · doi:10.1007/s11071-026-12457-0 · Cited by 1
Control of Uncertain Double Inverted Pendulum System with Time Delay Based on Disturbance Observer
Gao, L., Zhang, G., & Li, L. (2026) · Journal of Electrical Engineering and Technology · doi:10.1007/s42835-026-02764-2 · Cited by 1
Reinforcement learning based multi-model predictive control for boiler-turbine coordinated system of USC unit under wide load conditions
Hou, G., Liu, Z., & Du, X. (2026) · Applied Soft Computing · doi:10.1016/j.asoc.2026.115580 · Cited by 1
Optimal Tracking Control for Uncertain Singularly Perturbed Systems
Liu, L., He, Y., & Han, C. (2021) · IEEE Data Driven Control and Learning Systems Conference (DDCLS) · doi:10.1109/ddcls52934.2021.9455506 · Cited by 1
Fractional Order Active Disturbance Rejection Controller for First Order Plus Time Delay Systems
Chen, P., Liu, Y., Wu, Z., Luo, Y., & Chen, Y. (2023) · Chinese Control and Decision Conference (CCDC) · doi:10.1109/ccdc58219.2023.10327459
El Control Automático como una herramienta tecnológica para el mejoramiento de procesos de deshidratación de productos agroindustriales
Espinosa, N. V., Beltrán-Carbajal, F., Ramirez-Muñoz, J., & Bravo, H. E. G. (2023) · CIENCIA ergo sum · doi:10.30878/ces.v31n0a41
Reduced Gain PI/PID Controllers for FOPTD/SOPTD Processes Under Load Disturbance
Bożek, A., & Trybus, L. (2024) · Acta Mechanica et Automatica · doi:10.2478/ama-2024-0025
Fixed-time sliding mode extended state observer-based tracking control for cable-driven parallel robots with uncertain dynamics
Lu, Y., Xu, R., & Yao, W. (2024) · International Conference on Control, Robotics and Intelligent System (CCRIS) · doi:10.1117/12.3050079
Interlude: A Look Around
Herbst, G., & Madoński, R. (2024) · Control engineering · doi:10.1007/978-3-031-72687-3_7
Disturbance supervisory switch control design by using Unfalsified control concepts
Manzar, M. N. (2023) · Journal of Control · doi:10.61186/joc.16.4.75
Design of Improved Linear Active Disturbance Rejection Control for Non-Minimum Phase Systems
Lin, X., Maoqian, W., Lijiang, D., We, L., Baiyun, Q., & Chaojie, Y. (2024) · International Conference on Power and Energy Systems (ICPES) · doi:10.1109/icpes63746.2024.10856640
Design, analysis, and experiments of longitudinal speed active disturbance rejection controller considering multi-source disturbances for low-speed park intelligent vehicles
Guo, L., Guan, L., Wu, X., Jiang, H., Shi, L., Zhang, Z., & Zhang, C. (2025) · Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering · doi:10.1177/09544070251330351
Optimized Active Disturbance Rejection Control for Switched Systems: A Triggered-Learning Approach
Qi, Y., Zhang, S., & Shi, Y. (2025) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2025.3562460
Reinforcement learning control for systems with unknown coupling induced by the compensator
Cheng, S., Li, Y., Wang, K., & Yang, C. (2025) · Advanced Engineering Informatics · doi:10.1016/j.aei.2025.103449
A Parameter Self-Tuning Rule Based on Spatial–Temporal Scale for Active Disturbance Rejection Control and Its Application in Flight Test Chamber Systems
Xu, Z., Zhang, H., Xie, Y., Zhai, C., Wang, X., & Huang, F. (2025) · Aerospace · doi:10.3390/aerospace12060465
Model identification and active disturbance rejection control for the hydraulic servo actuator in railway suspension systems
Dou, X., Tang, M., Zhao, P., Chen, S., Zhang, X.-L., & Hu, Y. (2025) · IEEE Data Driven Control and Learning Systems Conference (DDCLS) · doi:10.1109/ddcls66240.2025.11065361
The precise motion control of electric push rod based on linear active disturbance rejection control
Hu, K., Xie, S., & Zhong, H. (2025) · Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science · doi:10.1177/09544062251357505
Motion planning and control of an installation robot for attitude adjustment of arc parts in underground shield tunneling
Xiao, Q., Xiang, G., Liao, L., Wei, L., Hongli, W., & Dian, S. (2025) · Deep Underground Science and Engineering · doi:10.1002/dug2.70052
Simulation and experiments on preview tracking controller for intelligent vehicles based on hierarchical and refined estimation of multi-heterogeneous disturbances
Wu, X., Zhang, Z., Guan, L., Liu, W., Shi, L., & Wu, F. (2025) · Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering · doi:10.1177/09544070251352070
Higher-Order Sinusoidal Input Describing Function Analysis and Optimal Tuning of Hybrid Integrator-Gain Systems
Wu, J., Zhou, J., Shao, Y., & Li, X. (2025) · IEEE Transactions on Automation Science and Engineering · doi:10.1109/tase.2025.3597594
Fixed-time switching control of a turbofan aero-engine under non-ideal parameters
Wu, Z. Y., Fei, Z., & Lin-Shi, X. (2025) · Automatica · doi:10.1016/j.automatica.2025.112533
Tuning of Active Disturbance Rejection Control with Time-Delay Compensation Based on Low-Frequency Approximation
Shen, W., Lv, T., & Su, Z. (2025) · Chinese Control Conference (CCC) · doi:10.23919/ccc64809.2025.11178710
Self-citation
Active Disturbance Rejection Control of the Motors of a Mobile Robot with Hardware Induced Delay
Cerro-Sánchez, A., Mérida-Calvo, L., & Feliú, V. (2025) · Annual Conference of the IEEE Industrial Electronics Society (IECON) · doi:10.1109/iecon58223.2025.11221555
Scaled Gain-Based Extended State Observer for Disturbed Systems With Time-Varying Delays
Zhang, L., Wang, H. F., Xia, W., Guo, T. Y., & Mao, Y. (2025) · IEEE Transactions on Circuits & Systems II Express Briefs · doi:10.1109/tcsii.2025.3630821
Reinforcement Learning-Optimized Adaptive LESO for Disturbance Rejection in Magnetically Suspended Turbo Molecular Pumps
Zheng, S., Hao, M., Mao, K., Ma, W., Han, X. S., & Yang, Q. (2025) · IEEE Transactions on Semiconductor Manufacturing · doi:10.1109/tsm.2025.3638245
Modeling and Active Disturbance Rejection Control for Variable-Frequency Air Compressors
Liu, Z., Fan, Z., & Wu, Z. (2025) · Lecture notes in electrical engineering · doi:10.1007/978-981-95-4045-7_44
Design and analysis of an augmented reduced-order active disturbance rejection control for nonlinear uncertain system
Liu, K., Chen, S., Zhao, Z., & Xue, W. (2026) · Science China Technological Sciences · doi:10.1007/s11431-025-3117-7
Self-citation
Air-Fuel Ratio Control of Gasoline Engines Based on TD-ADRC
Liu, J. S., Zhang, J., Meng, Y., & Gao, J. (2025) · CAA International Conference on Vehicular Control and Intelligence (CVCI) · doi:10.1109/cvci66304.2025.11348416
Application Research of Several Improved Active Disturbance Rejection Control Methods in Superheated Steam Temperature System
Li, H., Wu, Z., Liu, Y., Zhang, Y., & Zheng, H. (2025) · IEEE International Conference on Industrial Electronics for Sustainable Energy Systems (IESES) · doi:10.1109/ieses66335.2025.11359866
Uncertainty Predictive Observer-Based Model-Free Adaptive Disturbance Rejection Control
Hui, Y., Chi, R., Liu, Y., Hou, Z., & Huang, B. (2026) · IEEE Transactions on Systems Man and Cybernetics Systems · doi:10.1109/tsmc.2026.3654943
Research on the derivation of analytical and quantitative robust parameter tuning formula for first-order reduced active disturbance rejection controller
Kim, S.-M., Sin, J. H., Paek, S.-Y., Ri, S. Y., & Hwang, C.-J. (2026) · International Journal of Dynamics and Control · doi:10.1007/s40435-026-02020-5
Lag compensation based cascade active disturbance rejection control for cascade systems with primary-secondary loop dynamic couplingPreprint
Tiancheng, L., Shen, W., & Su, Z. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.6484642
Self-citation
Simultaneous Time-Delay Compensation and Periodic Control
Yuksel, C. K. (2025) · doi:10.70675/fd7d5d99ze412z4ec1zb96ez4943fe7ab016
Research on the Desired Dynamic Selection of a Reference Model-Based PID Controller: A Case Study of Producing Hydrogen by Water Electrolysis
Zhai, Z., Li, D., & Zhao, J. (2025) · International Conference on Energy, Power and Grid (ICEPG) · doi:10.1109/icepg67373.2025.11466741
Self-citation
Dynamic Output Feedback Power-Level Control of Nuclear Reactors Based on ESO
You, Z., Dong, Z., & Huang, X. (2025) · China Automation Congress (CAC) · doi:10.1109/cac67268.2025.11487143
Modified active disturbance rejection control design with application to superheated steam temperature systems
Li, H., Wu, Z., Shi, G., Liu, Y. Y., & chen, Y. Q. (2026) · Measurement and Control · doi:10.1177/00202940261444947
Coupling-Improved Active Disturbance Rejection Control or Flexible Operation of Coal-Fired Unit Coordination Systems
Chen, Y., Chu, J., Wu, D., Jin, Y., Liu, Q., & Chaojie, Y. (2026) · IEEE Access · doi:10.1109/access.2026.3693717
Shaft speed optimization and performance analysis of heavy-duty gas turbines based on fully actuated system with flexible disturbance rejection
Liu, R., Huang, C., Wang, H., & Ge, S. S. (2026) · Journal of the Franklin Institute · doi:10.1016/j.jfranklin.2026.108776
Modified Active Disturbance Rejection Control Tuning Based on Desired Maximum Sensitivity Constraints for a Class of High‐Order Inertial Processes
Li, H., Wu, Z., Liu, Y. Y., Li, D., & Chen, Y. (2026) · IET Control Theory and Applications · doi:10.1049/cth2.70136
Self-citation
Leg Motion Control of a Flyable Dual-Wheel-Legged Robot Based on ADRC
Li, P., Zhang, X., Tengfei, W., & Hao, J. (2026) · Chinese Control and Decision Conference (CCDC) · doi:10.1109/ccdc69976.2026.11560444
Model-Assisted Active Disturbance Rejection Control for Permanent Magnet Synchronous Motor with Gearbox Broken Tooth Fault: Design and Experiments
Hu, Z., Li, D., Zhao, T., Li, Z., Junfeng, G. U., & Li, S. (2026) · Actuators · doi:10.3390/act15070374
Self-citation
A cascade active disturbance rejection control based on SPSA-memory optimization for SCR denitration process
Ai, W., Zhai, S., Wang, Y., Wu, W., Li, X. X., Pan, F., & Huang, H. (2026) · Transactions of the Institute of Measurement and Control · doi:10.1177/01423312261461798
Reduced-Order ESO-Based Predictor Control for Time-Delay Processes
de Oliveira, J. R., Torrico, B. C., & Zhong, Q. (2026) · IEEE Access · doi:10.1109/access.2026.3725550
Lag compensation based cascade active disturbance rejection control for large-inertia cascade systems with considerable loop coupling
Lv, T., Shen, W., & Su, Z. (2026) · Control Engineering Practice · doi:10.1016/j.conengprac.2026.107224
Self-citation
Combined observer-based robotic force control with spatial payload inertia compensation
Tang, W., Liu, W., Wang, W., & Wang, S. (2026) · Control Engineering Practice · doi:10.1016/j.conengprac.2026.107268
Integrated neural-network modeling and improved discrete-time RL-EADRC control for flexible operation of ultra-supercritical units
du, X., Hou, G., Huang, W., Liu, Z., & Ye, L. (2026) · Energy · doi:10.1016/j.energy.2026.142643
High-precision temperature control of DC energy metering device PCB based on an asymmetric fuzzy PID-Smith predictor
Duan, X., Yang, Y., Jingfen, B., Meng, J., & Duan, Y. (2026) · Measurement and Control · doi:10.1177/00202940261499132

Authors: Sun, L., Xue, W., Li, D., Zhu, H., & Su, Z.-G.
Affiliations: Southeast University (CN)
Chinese Academy of Sciences (CN)
Tsinghua University (CN)
Nanjing Institute of Technology (CN)
ORCID: Sun, Li
Xue, Wenchao
Li, Donghai
Zhu, Hongxia
Su, Zhi-gang
Venue: IEEE Transactions on Industrial Electronics
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Published: 2022-01
Volume: 69
Issue: 1
Pages: 805-815
ISSN: 0278-0046 (ISSN-L)
1557-9948
DOI: 10.1109/tie.2021.3050372
OpenAlex: W3122136987
Cited by: 178
References: 43
Citations by year: 2026: 28 · 2025: 51 · 2024: 32 · 2023: 27 · 2022: 27
FWCI: 11.02
Type: journal article
Language: en
Open access: closed
Licence: ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html (vor)
doi.org/10.15223/policy-029 (stm-asf)
doi.org/10.15223/policy-037 (stm-asf)
Locations: IEEE Transactions on Industrial Electronics (publishedVersion)
Funders: National Nature Science Foundation (52076037, 51806034&61633003-3)
Jiangsu NSF (BK20170686)
Jiangsu Province Key Lab of Aerospace Power System, NUAA
Topics: Physical Sciences › Engineering › Control and Systems Engineering › Advanced Control Systems Design
Physical Sciences › Engineering › Control and Systems Engineering › Adaptive Control of Nonlinear Systems
Physical Sciences › Engineering › Control and Systems Engineering › Stability and Control of Uncertain Systems
Keywords: active disturbance rejection control, first order plus time delay model, controller tuning, extended state observer, time delay compensation, stability conditions, robustness, water tank experiments, process control

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Quantitative Tuning of Active Disturbance Rejection Controller for FOPTD Model With Application to Power Plant Control

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Citations

Cites

Cited by

Related

Metadata

Record

About these checks