Congzhi Huang, Chaomin Luo, Yan Li, Tianyang Zhang


  1. [1] W.S. Chen, L.C. Jiao, Adaptive tracking for periodically time-varying and nonlinearly parameterizedsystems using multilayer neural networks, IEEE Transactions on Neural Networks, 21(2), 2010,345-351.
  2. [2] W.S. Chen, L.C. Jiao, R.H. Li, J. Li, Adaptive backstepping fuzzy control for nonlinearlyparameterized systems with periodic disturbances, IEEE Transactions on Fuzzy Systems, 18(4), 2010,674-685.
  3. [3] Z.Q. Gao, Scaling and parameterization based controller tuning, Proceedings of American ControlConference, Denver, Colorado, USA, 2003, 4989-4996.
  4. [4] Z.Q. Gao, On the centrality of disturbance rejection in automatic control, ISA Transactions, 53(4),2014, 850-857.
  5. [5] L. Guo, S.Y. Cao, Anti-disturbance control theory for systems with multiple disturbances: a survey,ISA Transactions, 53(4), 2014, 846-849.
  6. [6] J.Q. Han, Control theory, is it a model analysis approach or a direct control approach? System Scienceand Mathematics Science, 9(4), 1989, 328-335. (In Chinese)
  7. [7] J.Q. Han, Aclass of extended state observers for uncertain systems, Control and Decision, 10(1), 1995,85-88. (in Chinese)
  8. [8] J.Q. Han, Auto-disturbance rejection control and applications, Control and Decision, 13(1), 1995,19-23. (in Chinese)
  9. [9] J.Q. Han, From PID to active disturbance rejection control, IEEE Transactions on IndustrialElectronics, 56(3), 2009, 900-906.
  10. [10] C.E. Huang, D.H. Li, Y.L. Xue, Active disturbance rejection control for the ALSTOM gasifierbenchmark problem, Control Engineering Practice, 21(4), 2013, 556-564.
  11. [11] C.Z. Huang, H.S. Ramirez, Active disturbance rejection control for linear systems with unknowntime-varying coefficients, International Journal of Control, 88(12), 2015, 2578-2587.
  12. [12] Y. Huang, W.C. Xue, Active disturbance rejection control: methodology and theoretical analysis, ISATransactions, 53(4), 2014, 963-976.
  13. [13] J. Li,X.H. Qi, Y.Q. Xia, F. Pu, K. Chang, Frequency domain stability analysis of nonlinear activedisturbance rejection control system, ISA Transactions, 56, 2015, 188-195.
  14. [14] D.Z. Li, Z. Li, Z.Q. Gao, Active disturbance rejection-based high precision temperature control of asemibatch emulsion polymerization reactor, Industrial Engineering & Chemical Research, 53(8),2014, 3210-3221.
  15. [15] M.D. Li, D.H. Li, J. Wang, C.Z. Zhao, Active disturbance rejection control for fractional-ordersystem, ISA Transactions, 52(3), 2013, 365-374.
  16. [16] D.Z. Li, P. Ding, Z.Q. Gao, Fractional active disturbance rejection control, ISA Transactions, 62,2016, 109-119.
  17. [17] J.A. Juarez, J.L. Flores, E.G. Ramirez, H.S. Ramirez, Generalized proportional integral trackingcontroller for a single phase multilevel cascade inverter: an FPGA implementation. IEEETransactions on Industrial Informatics, 10(1), 2014, 256-266.
  18. [18] M.R. Neria, H.S.Ramirez, A.R. Angeles, A.L. Jurez, Active disturbance rejection control applied to adelta parallel robot in trajectory tracking tasks, Asian Journal of Control, 17(2), 2015, 112.
  19. [19] M.R. Neria, H.S. Ramirez, R.G. Moctezuma, A.L. Jurez, Linear active disturbance rejection controlof underactuated systems: the case of the Furuta pendulum, ISA Transactions, 53(4), 2014, 920- 928.
  20. [20] P. Ning, B. Wang, R. Li, H. Xu, Research on and application of diminishing step fruit fly optimizationalgorithm, Journal of Shenzhen University Science Engineering, 31(4), 2014, 367-373.
  21. [21] W. Pan, A new fruit fly optimization algorithm: taking the financial distress model as an example,Knowledge-Based Systems, 26, 2012, 69-74.
  22. [22] H.S. Ramirez, J.L. Flores, C.G. Rodrłguez, M.A. Ordaz, On the control of the permanent magnetsynchronous motor: an active disturbance rejection control approach, IEEE Transactions on ControlSystem Technology, 22(5), 2014, 2056-2063.
  23. [23] H.S. Ramirez, A.L. Juarez, J.C. Romero, Flatness-based linear output feedback control fordisturbance rejection and tracking tasks on a Chua’s circuit, International Journal of Control, 85(5),2012, 594-602.
  24. [24] M.P. Ran, Q. Wang, C.Y. Dong, Stabilization of a class of nonlinear systems with actuator saturationvia active disturbance rejection control, Automatica, 63, 2016, 302-310.
  25. [25] L. Sun, D.H. Li, Z.Q. Gao, Z. Yang, S. Zhao, Combined feedforward and model-assisted activedisturbance rejection control for non-minimum phase system, ISA Transactions, 64, 2016, 24-33.
  26. [26] Y.P. Tian, X.H. Yu, Robust learning control for a class of nonlinear systems with periodic andaperiodic uncertainties, Automatica, 39(11), 2003, 1957-1966.
  27. [27] Van der Pol B., Forced oscillations in a circuit with nonlinear resistance. Philosophical Magazine,3(13), 1927, 65-80.
  28. [28] Y.Q. Xia, B. Liu, M. Fu, Active disturbance rejection control for power plant with a single loop.Asian Journal of Control, 14(1), 2012, 239-250.
  29. [29] H. Xie, K. Song, Y. He, A hybrid disturbance rejection control solution for variable valve timingsystem of gasoline engines, ISA Transactions, 53(4), 2014, 889-898.
  30. [30] H.L. Xing, J.H. Jeon, K.C. Park, I.K. Oh, Active disturbance rejection control for precise positiontracking of ionic polymer-metal composite actuators, IEEE/ASME Transactions on Mechatronics,18(1), 2013, 86-95.
  31. [31] W.C. Xue, Y. Huang, Performance analysis of active disturbance rejection tracking control for a classof uncertain LTI systems, ISA Transactions, 58, 2015, 133-154.
  32. [32] X.Y. Yang, J.W. Cui, D.Z. Lao, D.H. Li, J.H. Chen, Input shaping enhanced active disturbancerejection control for a twin rotor multi-input multi-output system, ISA Transactions, 62, 2016,287-298.
  33. [33] J. Zhang, F.C. Tian, Simon X. Yang, An intelligent and automatic control method for tobaccoflue-curing based on machine learning, International Journal of Robotics & Automation, 31(6), 2016,509-518.
  34. [34] Z.Z. Chu, D.Q. Zhu, Simon X. Yang, Adaptive terminal sliding mode based sesnsorless speed controlfor underwater thruster, International Journal of Robotics & Automation, 31(3), 2016, 187-197.
  35. [35] B. Sun, D.Q. Zhu, Simon X. Yang, A bio-inspired cascaded approach for three-dimensionaltracking control of unmanned underwater vehicles, International Journal of Rototics & Automation,29(4), 2014, 349-358.
  36. [36] B.Q. Li, Y.C. Fang, X.B. Zhang, Essential-matrix-based visual servoing of mobile robots withoutshort baseline degeneration, International Journal of Robotics & Automation, 30(4), 2016, 397-406.
  37. [37] Y.H. Wang, Y.K. Tuo, Simon X. Yang, Nonlinear model predictive control of dynamic postioning ofdeep-sea ships with a unified model. International Journal of Robotics & Automation, 2016, 31(6):519-529.
  38. [38] F.H. Sun, J.Z. Yu, P. Zhao, Tracking control for a biomimetic robotic fish guided by active vision,International Journal of Robotics & Automation, 31(2), 2016, 137-145.
  39. [39] Y.J. Zhang, J. Zhang, L. Wang, J.B. Su, Composite disturbance rejection control based on generalizedextended state observer, ISA Transactions, 63, 2016, 377-386.
  40. [40] G.Q. Zhang, X.K. Zhang, Concise adaptive neural control of uncertain nonlinear systems withperiodically nonlinear time-varying parameterized disturbances, Journal of Process Control, 24,2014, 410-423.
  41. [41] S. Zhao, Z.Q. Gao, Modified active disturbance rejection control for time-delay systems. ISATransactions, 53, 2014, 882-888.
  42. [42] Q.L. Zheng, Z.Q. Gao, Predictive active disturbance rejection control for processes with time delay,ISA Transactions, 53, 2014, 873-881.
  43. [43] L.Y. Hu, Y.B. Yang & S.P. Xu, Force feedback and control for wave-variable teleoperation systemswith time delays, International Journal of Robotics & Automation, 29(4), 2014, 338-348.
  44. [44] H.J Liu, & K.Y. Young, Applying wave-variable-based sliding mode impedance control for robotteleoperation, International Journal of Robotics & Automation, 26(3), 2011, 296-304.

Important Links:

Go Back