Cite

Du B, Wu S, Han S, et al. Application of linear active disturbance rejection controller for sensorless control of internal permanent-magnet synchronous motor. IEEE Transactions on Industrial Electronics, 2016, 63(5): 3019–3027.DuBWuSHanSApplication of linear active disturbance rejection controller for sensorless control of internal permanent-magnet synchronous motorIEEE Transactions on Industrial Electronics20166353019302710.1109/TIE.2016.2518123Search in Google Scholar

Xie S, Chu X, Liu C, et al. Marine diesel engine speed control based on adaptive state-compensate extended state observer-backstepping method. Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, 2019, 233(5): 457–471.XieSChuXLiuCMarine diesel engine speed control based on adaptive state-compensate extended state observer-backstepping methodProceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering2019233545747110.1177/0959651818794562Search in Google Scholar

TANG J, LEI Y, NIE G, et al. Application of PID neural network in control of diesel engine speed. Coal Mine Machinery, 2010, 1: 201–204.TANGJLEIYNIEGApplication of PID neural network in control of diesel engine speedCoal Mine Machinery20101201204Search in Google Scholar

Bø T I, Johansen T A, Sørensen A J, et al. Dynamic consequence analysis of marine electric power plant in dynamic positioning. Applied Ocean Research, 2016, 57: 30–39.T IJohansenT ASørensenA JDynamic consequence analysis of marine electric power plant in dynamic positioningApplied Ocean Research201657303910.1016/j.apor.2016.02.004Search in Google Scholar

Yan X, Xu L, Wang Y. The Loading Control Strategy of the Mobile Dynamometer Vehicle Based on Neural Network PID. Mathematical Problems in Engineering, 2017.YanXXuLWangYThe Loading Control Strategy of the Mobile Dynamometer Vehicle Based on Neural Network PIDMathematical Problems in Engineering201710.1155/2017/5658983Search in Google Scholar

Bryson A E. Applied optimal control: optimization, estimation and control. Routledge, 2018.BrysonA EApplied optimal control: optimization, estimation and controlRoutledge201810.1201/9781315137667Search in Google Scholar

Liu Y J, Lu S, Tong S, et al. Adaptive control-based barrier Lyapunov functions for a class of stochastic nonlinear systems with full state constraints. Automatica, 2018, 87: 83–93.LiuY JLuSTongSAdaptive control-based barrier Lyapunov functions for a class of stochastic nonlinear systems with full state constraintsAutomatica201887839310.1016/j.automatica.2017.07.028Search in Google Scholar

Utkin V, Guldner J, Shi J. Sliding mode control in electro-mechanical systems. CRC press, 2017.UtkinVGuldnerJShiJSliding mode control in electro-mechanical systemsCRC press201710.1201/9781420065619Search in Google Scholar

Cui W, Guo R, Fan D. Application of Neural Network PID Control in Hump Pushing Peak Process. DEStech Transactions on Computer Science and Engineering, 2017 (icitia).CuiWGuoRFanDApplication of Neural Network PID Control in Hump Pushing Peak ProcessDEStech Transactions on Computer Science and Engineering2017(icitia).10.12783/dtcse/icitia2017/13248Search in Google Scholar

El-Samahy A A, Shamseldin M A. Brushless DC motor tracking control using self-tuning fuzzy PID control and model reference adaptive control. Ain Shams Engineering Journal, 2018, 9(3): 341–352.El-SamahyA AShamseldinM ABrushless DC motor tracking control using self-tuning fuzzy PID control and model reference adaptive controlAin Shams Engineering Journal20189334135210.1016/j.asej.2016.02.004Search in Google Scholar

Wang R, Li X, Liu Y, et al. Variable Sampling Rate based Active Disturbance Control for a Marine Diesel Engine. Electronics, 2019, 8(4): 370.WangRLiXLiuYVariable Sampling Rate based Active Disturbance Control for a Marine Diesel EngineElectronics20198437010.3390/electronics8040370Search in Google Scholar

Wang F, Guo Y, Wang K, et al. Disturbance observer based robust backstepping control design of flexible air-breathing hypersonic vehicle. IET Control Theory & Applications, 2019, 13(4): 572–583.WangFGuoYWangKDisturbance observer based robust backstepping control design of flexible air-breathing hypersonic vehicleIET Control Theory & Applications201913457258310.1049/iet-cta.2018.5482Search in Google Scholar

Wu Z, He T, Li D, et al. Superheated steam temperature control based on modified active disturbance rejection control. Control Engineering Practice, 2019, 83: 83–97.WuZHeTLiDSuperheated steam temperature control based on modified active disturbance rejection controlControl Engineering Practice201983839710.1016/j.conengprac.2018.09.027Search in Google Scholar

Tavasoli A. Active disturbance rejection boundary control of Timoshenko beam with tip mass. ISA transactions, 2018, 80: 221–231.TavasoliAActive disturbance rejection boundary control of Timoshenko beam with tip massISA transactions20188022123110.1016/j.isatra.2018.05.02129937090Search in Google Scholar

Castillo A, García P, Sanz R, et al. Enhanced extended state observer-based control for systems with mismatched uncertainties and disturbances. ISA transactions, 2018, 73: 1–10.CastilloAGarcíaPSanzREnhanced extended state observer-based control for systems with mismatched uncertainties and disturbancesISA transactions20187311010.1016/j.isatra.2017.12.00529273439Search in Google Scholar

Zheng Q, Ping Z, Soares S, et al. An Active Disturbance Rejection Control Approach to Fan Control in Servers. IEEE Conference on Control Technology and Applications (CCTA). IEEE, 2018: 294–299.ZhengQPingZSoaresSAn Active Disturbance Rejection Control Approach to Fan Control in ServersIEEE Conference on Control Technology and Applications (CCTA). IEEE201829429910.1109/CCTA.2018.8511399Search in Google Scholar

Gao Z. Scaling and bandwidth-parameterization based controller tuning. In: Proceedings of the American control conference, Denver, CO, 4–6 June 2003, pp. 4989–4996. New York: IEEE.GaoZScaling and bandwidth-parameterization based controller tuningIn:Proceedings of the American control conferenceDenver, CO4–6 June 200349894996New YorkIEEESearch in Google Scholar

Wang R, Li X, Zhang J, et al. Speed control for a marine diesel engine based on the combined linear-nonlinear active disturbance rejection control. Mathematical Problems in Engineering, 2018, 2018.WangRLiXZhangJSpeed control for a marine diesel engine based on the combined linear-nonlinear active disturbance rejection controlMathematical Problems in Engineering20182018.10.1155/2018/7641862Search in Google Scholar

Wang R, Li X, Liu Y, et al. Variable Sampling Rate based Active Disturbance Control for a Marine Diesel Engine. Electronics, 2019, 8(4): 370.WangRLiXLiuYVariable Sampling Rate based Active Disturbance Control for a Marine Diesel EngineElectronics20198437010.3390/electronics8040370Search in Google Scholar

Li T, Yang J, Wen C, et al. Global adaptive finite-time stabilization of uncertain time-varying p-normal nonlinear systems without homogeneous growth nonlinearity restriction. IEEE Transactions on Automatic Control, 2019.LiTYangJWenCGlobal adaptive finite-time stabilization of uncertain time-varying p-normal nonlinear systems without homogeneous growth nonlinearity restrictionIEEE Transactions on Automatic Control201910.1109/TAC.2019.2899508Search in Google Scholar

Zhang X, Li X, Cao J, et al. Design of memory controllers for finite-time stabilization of delayed neural networks with uncertainty. Journal of the Franklin Institute, 2018, 355(13): 5394–5413.ZhangXLiXCaoJDesign of memory controllers for finite-time stabilization of delayed neural networks with uncertaintyJournal of the Franklin Institute2018355135394541310.1016/j.jfranklin.2018.05.037Search in Google Scholar

Wu K N, Sun H X, Shi P, et al. Finite-time boundary stabilization of reaction-diffusion systems. International Journal of Robust and Nonlinear Control, 2018, 28(5): 1641–1652.WuK NSunH XShiPFinite-time boundary stabilization of reaction-diffusion systemsInternational Journal of Robust and Nonlinear Control20182851641165210.1002/rnc.3977Search in Google Scholar

Theotokatos G, Guan C, Chen H, et al. Development of an extended mean value engine model for predicting the marine two-stroke engine operation at varying settings. Energy, 2018, 143: 533–545.TheotokatosGGuanCChenHDevelopment of an extended mean value engine model for predicting the marine two-stroke engine operation at varying settingsEnergy201814353354510.1016/j.energy.2017.10.138Search in Google Scholar

Huang Z, Liu Y, Zheng H, et al. A self-searching optimal ADRC for the pitch angle control of an underwater thermal glider in the vertical plane motion. Ocean Engineering, 2018, 159: 98–111.HuangZLiuYZhengHA self-searching optimal ADRC for the pitch angle control of an underwater thermal glider in the vertical plane motionOcean Engineering20181599811110.1016/j.oceaneng.2018.04.010Search in Google Scholar

Bellemare M F, Wichman C J. Elasticities and the inverse hyperbolic sine transformation. Working Paper. University of Minnesota, 2018.BellemareM FWichmanC JElasticities and the inverse hyperbolic sine transformationWorking PaperUniversity of Minnesota2018Search in Google Scholar

Chen L, Chen G, Wu R, et al. Stabilization of uncertain multi-order fractional systems based on the extended state observer. Asian Journal of Control, 2018, 20(3): 1263–1273.ChenLChenGWuRStabilization of uncertain multi-order fractional systems based on the extended state observerAsian Journal of Control20182031263127310.1002/asjc.1618Search in Google Scholar

Sira-Ramírez H, Zurita-Bustamante E W, Huang C. Equivalence Among Flat Filters, Dirty Derivative-Based PID Controllers, ADRC, and Integral Reconstructor-Based Sliding Mode Control. IEEE Transactions on Control Systems Technology, 2019.Sira-RamírezHZurita-BustamanteE WHuangCEquivalence Among Flat Filters, Dirty Derivative-Based PID Controllers, ADRC, and Integral Reconstructor-Based Sliding Mode ControlIEEE Transactions on Control Systems Technology201910.1109/TCST.2019.2919822Search in Google Scholar

Bhat, S., Bernsein, D.: Lyapunov analysis of finite-time differential equations. In: Proceedings of the American Control Conference, pp. 1831–1832 (1995).BhatS.BernseinD.Lyapunov analysis of finite-time differential equationsIn:Proceedings of the American Control Conference183118321995Search in Google Scholar

Galván-Guerra R, Fridman L, Iriarte R, et al. Integral sliding-mode observation and control for switched uncertain linear time invariant systems: A robustifying strategy. Asian Journal of Control, 2018, 20(4): 1551–1565.Galván-GuerraRFridmanLIriarteRIntegral sliding-mode observation and control for switched uncertain linear time invariant systems: A robustifying strategyAsian Journal of Control20182041551156510.1002/asjc.1661Search in Google Scholar

eISSN:
2444-8656
Language:
English
Publication timeframe:
Volume Open
Journal Subjects:
Life Sciences, other, Mathematics, Applied Mathematics, General Mathematics, Physics