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Journal articles on the topic 'Extended Luenberger observer'

Author: Grafiati

Published: 5 June 2025

Last updated: 2 August 2025

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1

YONEZAWA, Yuta, Kazuma SEKIGUCHI, and Kenichiro NONAKA. "Integral Extended Luenberger Observer for Caster Odometers." Transactions of the Society of Instrument and Control Engineers 53, no. 12 (2017): 633–43. http://dx.doi.org/10.9746/sicetr.53.633.

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2

Zeitz, M. "The extended Luenberger observer for nonlinear systems." Systems & Control Letters 9, no. 2 (1987): 149–56. http://dx.doi.org/10.1016/0167-6911(87)90021-1.

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3

Gacho, Juraj, and Milan Žalman. "IM Based Speed Servodrive with Luenberger Observer." Journal of Electrical Engineering 61, no. 3 (2010): 149–56. http://dx.doi.org/10.2478/v10187-011-0021-8.

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IM Based Speed Servodrive with Luenberger ObserverThe article concerns observing states of the Induction Motor (IM) using a Luenberger observer in the speed servo drive. The movement of the motor and observer roots is analyzed for a variable speed. Following the analysis, a new method for gain evaluation of the IM magnetic flux observer is presented. This structure is extended by including an adaptive speed observer. The functionality of the presented method is proved in simulations using MATLAB Simulink.

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4

BIRK, J., and M. ZEITZ. "Extended Luenberger observer for non-linear multivariable systems." International Journal of Control 47, no. 6 (1988): 1823–36. http://dx.doi.org/10.1080/00207178808906138.

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5

Robenack, K. "Computation of the observer gain for extended Luenberger observers using automatic differentiation." IMA Journal of Mathematical Control and Information 21, no. 1 (2004): 33–47. http://dx.doi.org/10.1093/imamci/21.1.33.

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6

Ergueta, Edgar, Robert Seifried, Roberto Horowitz, and Masayoshi Tomizuka. "Extended Luenberger Observer for a MIMO Nonlinear Nonholonomic System." IFAC Proceedings Volumes 41, no. 2 (2008): 9260–65. http://dx.doi.org/10.3182/20080706-5-kr-1001.01565.

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7

Hulhoven, X., A. Vande Wouwer, and Ph Bogaerts. "Hybrid extended Luenberger-asymptotic observer for bioprocess state estimation." Chemical Engineering Science 61, no. 21 (2006): 7151–60. http://dx.doi.org/10.1016/j.ces.2006.06.018.

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8

González García, Ana Paloma, Lourdes Díaz Jiménez, Padamsree K. Padmadas, and Salvador Carlos Hernández. "Extended Luenberger observer for a biodiesel production process with heterogeneous catalyst." Memorias del Congreso Nacional de Control Automático 5, no. 1 (2022): 238–43. http://dx.doi.org/10.58571/cnca.amca.2022.072.

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The biodiesel production process requires low-cost and real-time monitoring. In this document, an extended Luenberger observer was designed to provide on-line estimation of the concentration of triglycerides, methanol, biodiesel, and glycerol. To this end, a mathematical model based on energy and mass balance equations as well as the global transesterification reaction in a batch reactor was considered. The model consists of two nonlinear differential equations, one output equation, and four complementary equations. The simplification of the model was used through a linearization procedure, co

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Zárate-Castrejón, José Luis, Pablo A. López-Pérez, Milagros López-López, et al. "Estimation of Sporulated Cell Concentration of Bacillus thuringiensis in a Batch Biochemical Reactor via Simple State Observers." Mathematics 12, no. 24 (2024): 3996. https://doi.org/10.3390/math12243996.

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This paper presents a contrast of two different observation strategies viz a nonlinear observer and a classical extended Luenberger observer applied to a bioreactor system for Bacillus thuringiensis production. The performance of the two observers was evaluated under different conditions, both with and without state perturbations. Firstly, equal initial conditions were considered without the presence of white noise in the measurement of dissolved oxygen concentration in the culture medium. The performance was then analyzed by perturbing the maximum cell growth rate with equal and different ini

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Nejjari, F., V. Puig, L. Giancristofaro, and S. Koehler. "Extended Luenberger Observer-Based Fault Detection for an Activated Sludge Process." IFAC Proceedings Volumes 41, no. 2 (2008): 9725–30. http://dx.doi.org/10.3182/20080706-5-kr-1001.01645.

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11

Meurer, Thomas. "On the Extended Luenberger-Type Observer for Semilinear Distributed-Parameter Systems." IEEE Transactions on Automatic Control 58, no. 7 (2013): 1732–43. http://dx.doi.org/10.1109/tac.2013.2243312.

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12

Chalumuri, Yekanth Ram, Xin Jin, Ali Tivay, and Jin-Oh Hahn. "Detection of Internal Hemorrhage via Sequential Inference: An In Silico Feasibility Study." Diagnostics 14, no. 17 (2024): 1970. http://dx.doi.org/10.3390/diagnostics14171970.

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This paper investigates the feasibility of detecting and estimating the rate of internal hemorrhage based on continuous noninvasive hematocrit measurement. A unique challenge in hematocrit-based hemorrhage detection is that hematocrit decreases in response to hemorrhage and resuscitation with fluids, which makes hemorrhage detection during resuscitation challenging. We developed two sequential inference algorithms for detection of internal hemorrhage based on the Luenberger observer and the extended Kalman filter. The sequential inference algorithms use fluid resuscitation dose and hematocrit

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13

Mohammed, Abdeldafia M., Haoping Wang, and Yang Tian. "State observer for linear system with unknown input disturbance and sampled and delayed output with measurement noise." Transactions of the Institute of Measurement and Control 41, no. 3 (2018): 749–59. http://dx.doi.org/10.1177/0142331218770710.

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This paper addresses the sampled and unknown time-varying delayed output problem of the continuous-time linear system with unknown input disturbance and measurement noise. Based on the piecewise continuous hybrid system and extended functional observer, a robust hybrid extended observer is proposed to estimate the non-delayed continuous state from the sampled and delayed measurements when the time delay is unknown time-varying. The advantages of the designed observer are the quite simple structure, robustness to dealing with measurement noise, and ability to estimate the system state with accu

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14

Quintero-Marmol, Enrique, William L. Luyben, and Christos Georgakis. "Application of an extended Luenberger observer to the control of multicomponent batch distillation." Industrial & Engineering Chemistry Research 30, no. 8 (1991): 1870–80. http://dx.doi.org/10.1021/ie00056a029.

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15

Ding, Nenggen, Wen Chen, Yipeng Zhang, Guoyan Xu, and Feng Gao. "An extended Luenberger observer for estimation of vehicle sideslip angle and road friction." International Journal of Vehicle Design 66, no. 4 (2014): 385. http://dx.doi.org/10.1504/ijvd.2014.066071.

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16

Ge, Fudong, and YangQuan Chen. "Extended Luenberger-type observer for a class of semilinear time fractional diffusion systems." Chaos, Solitons & Fractals 102 (September 2017): 229–35. http://dx.doi.org/10.1016/j.chaos.2017.05.011.

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17

Rauh, Andreas, Saif S. Butt, and Harald Aschemann. "Nonlinear state observers and extended Kalman filters for battery systems." International Journal of Applied Mathematics and Computer Science 23, no. 3 (2013): 539–56. http://dx.doi.org/10.2478/amcs-2013-0041.

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Abstract The focus of this paper is to develop reliable observer and filtering techniques for finite-dimensional battery models that adequately describe the charging and discharging behaviors. For this purpose, an experimentally validated battery model taken from the literature is extended by a mathematical description that represents parameter variations caused by aging. The corresponding disturbance models account for the fact that neither the state of charge, nor the above-mentioned parameter variations are directly accessible by measurements. Moreover, this work provides a comparison of th

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18

Ding, Weiwen. "A review of sensorless permanent magnet synchronous motors with adaptive observer." MATEC Web of Conferences 404 (2024): 02011. http://dx.doi.org/10.1051/matecconf/202440402011.

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With the widespread use of Permanent Magnet Synchronous Motor (PMSM) in industrial applications, sensorless PMSM has a major advantage over conventional PMSM. This work examines sensorless PMSM with adaptive observers, encompassing important methods such as the sliding mode observer (SMO), adaptive nonlinear extended state observer (ANLESO), Luenberger observer, and extended Kalman filter (EKF). These methods are investigated with the aim of achieving accurate observation and estimation of parameters such as rotor position in PMSM systems, and their effectiveness in solving the problems of ins

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19

Ali, Jarinah Mohd, and M. A. Hussain. "Artificial Intelligence Based State Observer in Polymerization Process." ASEAN Journal of Chemical Engineering 13, no. 2 (2014): 50. http://dx.doi.org/10.22146/ajche.49731.

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Observers or state estimators are devices used to estimate immeasurable key parameters that are due to noise, disturbances and mismatch. It is important to identify those variables prior to construct a control system and avoid fault or process disruption. In certain chemical processes, such observer usage produced unsatisfactory results therefore hybrid approached is the appropriate solution. Hybrid observers are combination of two or more conventional observers mainly to enhance the estimator’s performance and overcoming their limitations. In advanced cases, Artificial Intelligence algorithm

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20

Urbanski, K. "Determining the observer parameters for back EMF estimation for selected types of electrical motors." Bulletin of the Polish Academy of Sciences Technical Sciences 65, no. 4 (2017): 439–47. http://dx.doi.org/10.1515/bpasts-2017-0049.

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AbstractIn the paper a procedure for determining the observer parameters for selected types of electrical motors is discussed. The procedure is based on the identity observer developed by Luenberger. The paper presents determining the parameters using calculation examples for the DC motor and also for the permanent magnet synchronous motor (PMSM), which utilize the extended state vector to estimate the back electromotive force (BEMF). Presented observer for PMSM does not need to use the information about load torque. The main task of this study is to show how to utilize these general theory to

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21

Peña Caballero, Vicente, Luis Villaseñor Villagómez, and María Neria-González. "Design of Observers with Sigmoid Function in Their Structure with Numerical Application to a Sulfate Reducing Bioreactor." Memorias del Congreso Nacional de Control Automático 6, no. 1 (2023): 319–24. http://dx.doi.org/10.58571/cnca.amca.2023.055.

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Sulfate reducing bacteria (SRB) are currently important for the design of alternative technologies for bioremediation. The design of observers and/or controllers are necessary to estimate and/or control the dynamics of SRB bioprocesses. In this work, two adaptive observers with numerical application to the phenomenological model of sulfate removal by Desulfovibrio alaskesis 6SR are proposed to observe the biomass concentration with hydrogen sulfide measurement. The proposed observers contain in their structure an adaptivity term designed by the absolute error weighted by a sigmoid function. Th

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22

Deutschmann, Andreas, Lukas Jadachowski, and Andreas Kugi. "A Numerical Implementation of an Extended Luenberger Observer for a Class of Semilinear Hyperbolic PIDEs." IFAC-PapersOnLine 49, no. 8 (2016): 216–21. http://dx.doi.org/10.1016/j.ifacol.2016.07.444.

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23

Bao, Danyang, Huiming Wu, Ruiqi Wang, Fei Zhao, and Xuewei Pan. "Full-Order Sliding Mode Observer Based on Synchronous Frequency Tracking Filter for High-Speed Interior PMSM Sensorless Drives." Energies 13, no. 24 (2020): 6511. http://dx.doi.org/10.3390/en13246511.

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In the research of the high-speed sensorless control strategy of an interior permanent-magnet synchronous motor (IPMSM), considering the harmonic influence of inverter nonlinearity on traditional sliding mode observer method, a full-order sliding mode observer (SMO) method based on synchronous frequency tracking filtering is proposed. This method avoids the phase delay defects caused by the use of filters in traditional second-order SMO. Then, the observed extended electromotive force (EMF) signal is filtered using a synchronous frequency tracking (SFT) function. It tracks the changing stator

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24

Huang, Zhaoxia. "Application of an Estimation Method in the Lure System." Mathematical Problems in Engineering 2020 (November 27, 2020): 1–7. http://dx.doi.org/10.1155/2020/8819079.

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The presence of set-valued mapping affects the stability of the output of the lure system, adding to the difficulty in observer design. To overcome the difficulty, the author mapped the system output error to the nonlinear term of the framer, creating a framer of the extended Luenberger structure, and analyzed the coordination of the error system by the monotonic system theory. On this basis, the interval observer was designed for the lure system. Then, the lure system and its observer systems were proved as asymptotically stable. Finally, it is proved that the observer system trajectory alway

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25

Rodriguez-Mata, Abraham Efraim, Yaneth Bustos-Terrones, Victor Gonzalez-Huitrón, Pablo Antonio Lopéz-Peréz, Omar Hernández-González, and Leonel Ernesto Amabilis-Sosa. "A Fractional High-Gain Nonlinear Observer Design—Application for Rivers Environmental Monitoring Model." Mathematical and Computational Applications 25, no. 3 (2020): 44. http://dx.doi.org/10.3390/mca25030044.

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The deterioration of current environmental water sources has led to the need to find ways to monitor water quality conditions. In this paper, we propose the use of Streeter–Phelps contaminant distribution models and state estimation techniques (observer) to be able to estimate variables that are very difficult to measure in rivers with online sensors, such as Biochemical Oxygen Demand (BOD). We propose the design of a novel Fractional Order High Gain Observer (FOHO) and consider the use of Lyapunov convergence functions to demonstrate stability, as it is compared to classical extended Luenberg

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26

Kyo-Beum Lee and F. Blaabjerg. "Reduced-order extended luenberger observer based sensorless vector control driven by matrix converter with nonlinearity compensation." IEEE Transactions on Industrial Electronics 53, no. 1 (2006): 66–75. http://dx.doi.org/10.1109/tie.2005.862313.

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27

Orlowska-Kowalska, T. "Application of extended Luenberger observer for flux and rotor time-constant estimation in induction motor drives." IEE Proceedings D Control Theory and Applications 136, no. 6 (1989): 324. http://dx.doi.org/10.1049/ip-d.1989.0043.

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28

Roubache, Toufik, Souad Chaouch, and Mohamed Naït-Saïd. "Comparative study between luenberger observer and extended kalman filter for fault-tolerant control of induction motor drives." Advances in Modelling and Analysis C 73, no. 2 (2018): 29–36. http://dx.doi.org/10.18280/ama_c.730201.

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29

Rúa, Santiago, Rafael E. Vásquez, Naveen Crasta, and Carlos A. Zuluaga. "Observability Analysis and Observer Design for a Nonlinear Three-Tank System: Theory and Experiments." Sensors 20, no. 23 (2020): 6738. http://dx.doi.org/10.3390/s20236738.

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This paper addresses the observability analysis and observer design for a nonlinear interacting three-tank system. The plant configuration is first described using the process and instrumentation diagram (P&ID) and a state–space realization is derived; some insights about the behavior of the nonlinear system, considering equilibrium points and the phase portrait are provided. Then, observability in the Hermann–Krener sense is analyzed. A high-gain observer (HGO) is then designed, using the equivalence of the original state–space realization with its observability canonical form, in order t

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30

Houili, Rabiaa, Mohamed Yacine Hammoudi, Mohamed Benbouzid, and Abdennacer Titaouine. "Observer-Based Controller Using Line Integral Lyapunov Fuzzy Function for TS Fuzzy Systems: Application to Induction Motors." Machines 11, no. 3 (2023): 374. http://dx.doi.org/10.3390/machines11030374.

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This paper deals with the stabilization problem of a nonlinear system described by a Takagi–Sugeno fuzzy (TSF) model with unmeasurable premise variables via a robust controller. Applying the sector nonlinearity techniques, the nonlinear system is represented by a decoupled fuzzy model. Then, we design a robust observer-based controller for the obtained fuzzy system by utilizing the differential mean value approach. The observer and controller gains are obtained by the separation principle, in which the problem is solved in the sum of linear matrix inequalities (LMIs). The paper presents two ma

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31

Abed, K., and H. K. E. Zine. "Intelligent fuzzy back-stepping observer design based induction motor robust nonlinear sensorless control." Electrical Engineering and Electromechanics 2024, no. 2 (2024): 10–15. https://doi.org/10.20998/2074-272X.2024.2.02.

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<strong><em>Introduction.</em></strong><em> The control algorithm of Induction Motor (IM) is massively dependent on its parameters; so, any variation in these parameters (especially in rotor resistance) gives unavoidably error propagates. To avoid this problem, researches give more than solution, they have proposed Variable Structure Control (VSC), adaptive observers such as Model Reference Adaptive System, Extended Luenberger Observer (ELO) and the Extended Kalman Filter (EKF), these solutions reduce the estimated errors in flux and speed. As <strong>novelty </strong>in this pa

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32

Kim, JongKwang, JaeSu Ko, JangHyeon Lee, and YongKeun Lee. "Rotor Flux and Rotor Resistance Estimation Using Extended Luenberger-Sliding Mode Observer (ELSMO) for Three Phase Induction Motor Control." Canadian Journal of Electrical and Computer Engineering 40, no. 3 (2017): 181–88. http://dx.doi.org/10.1109/cjece.2017.2682259.

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33

Elmas, Ç., and H. Zelaya-De La Parra. "Application of a full-order extended Luenberger observer for a position sensorless operation of a switched reluctance motor drive." IEE Proceedings - Control Theory and Applications 143, no. 5 (1996): 401–8. http://dx.doi.org/10.1049/ip-cta:19960421.

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34

Flores-Mejia, Hilario, Antonio Lara-Musule, Eliseo Hernández-Martínez, Ricardo Aguilar-López, and Hector Puebla. "Indirect Monitoring of Anaerobic Digestion for Cheese Whey Treatment." Processes 9, no. 3 (2021): 539. http://dx.doi.org/10.3390/pr9030539.

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Efficient monitoring is an open problem in the operation of anaerobic digestion processes, due to the lack of accurate, low-cost, and proper sensors for the on-line monitoring of key process variables. This paper presents two approaches for the indirect monitoring of the anaerobic digestion of cheese whey wastewater. First, the observability property is addressed using conventional and nonconventional techniques, including an observability index. Then, two model-based observer techniques, an extended Luenberger observer, a sliding mode observer, and a data-driven technique based on fractal ana

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35

Mellah, hacene, Kamel Eddoine Hemsas, Rachid Taleb, and carlo CECATI. "Estimation of speed, armature temperature and resistance in brushed DC machines using a CFNN based on BFGS BP." TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES 26, no. 6 (2018): 3181–91. https://doi.org/10.3906/elk-1711-330.

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In this paper, a sensorless speed and armature resistance and temperature estimator for Brushed (B) DC machines is proposed, based on a Cascade-Forward Neural Network (CFNN) and Quasi-Newton BFGS backpropagation (BP). Since we wish to avoid the use of a thermal sensor, a thermal model is needed to estimate the temperature of the BDC machine. Previous studies propose either non-intelligent estimators which depend on the model, such as the Extended Kalman Filter (EKF) and Luenberger's observer, or estimators which do not estimate the speed, temperature and resistance simultaneously. The prop

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36

Abed, K., and H. K. E. Zine. "Intelligent fuzzy back-stepping observer design based induction motor robust nonlinear sensorless control." Electrical Engineering & Electromechanics, no. 2 (February 24, 2024): 10–15. http://dx.doi.org/10.20998/2074-272x.2024.2.02.

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Introduction. The control algorithm of Induction Motor (IM) is massively dependent on its parameters; so, any variation in these parameters (especially in rotor resistance) gives unavoidably error propagates. To avoid this problem, researches give more than solution, they have proposed Variable Structure Control (VSC), adaptive observers such as Model Reference Adaptive System, Extended Luenberger Observer (ELO) and the Extended Kalman Filter (EKF), these solutions reduce the estimated errors in flux and speed. As novelty in this paper, the model speed observer uses the estimated currents and

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37

Kaleli, Ali Rıza, and Alptekin Türkkan. "ESTIMATION OF ELECTRIC VEHICLE MULTIPLE PACKAGE LITHIUM-ION BATTERY STATE OF CHARGE USING AN EXTENDED MACHINE LEARNING." Uludağ University Journal of The Faculty of Engineering 30, no. 1 (2025): 231–44. https://doi.org/10.17482/uumfd.1595646.

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The estimation of battery state-of-charge (SOC) in electric or hybrid vehicle has vital importance in the designing process of battery management systems. The state-of-charge estimation is implemented using different modelling approaches, model-based estimators such as Kalman filtering and Luenberger observer and data-driven based modelling techniques like artificial neural network and machine learning methods. This study aimed to develop a battery state-of-charge estimation method and proposed a novel architecture for multiple battery back SOC estimation using an extended learning machine (EL

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38

Smith, R. D., W. F. Weldon, and A. E. Traver. "Aerodynamic Loading and Magnetic Bearing Controller Robustness Using a Gain-Scheduled Kalman Filter." Journal of Engineering for Gas Turbines and Power 118, no. 4 (1996): 836–42. http://dx.doi.org/10.1115/1.2817003.

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Modeling or predicting aerodynamic loading effects on rotating equipment has been a source of concern to those who wish to examine stability or response of critical components. The rotordynamic model of the system employed for such examination assumes greater importance for active bearings than for passive ones, if only because of the additional potential for instability introduced by the controller. For many systems, aerodynamic loading may vary widely over the range of operation of the bearings, and may depend on extended system variables. Thus, potential controllers for active magnetic bear

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Margal, Ali, Soukaina El Daoudi, Abdelmounaim Khallouq, and Asma Karama. "Comparative Analysis of Battery State of Charge Estimation Methods." E3S Web of Conferences 601 (2025): 00033. https://doi.org/10.1051/e3sconf/202560100033.

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Lithium-ion batteries are widely used in electric vehicles, buses, etc., due to their high-power density, long lifespan, and high energy density. To efficiently manage energy in these vehicles, a Battery Management System (BMS) is crucial. A critical parameter for the BMS is the State of Charge (SoC), which indicates the available charge in the battery and ensures its operational range. This paper presents three methods for estimating SoC: the extended Kalman filter (EKF), the adaptive Luenberger observer (ALO), and a neural network model employing nonlinear auto-regressive with eXogenous inpu

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40

Yadav, Santosh, and Dr N. R. Bhasme. "Performance Analysis of Sensor less Induction Motor Drive using Improved Control Techniques." International Journal of Electrical and Electronics Research 11, no. 4 (2023): 1022–29. http://dx.doi.org/10.37391/ijeer.110420.

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AC Drives demand robust motor design with rugged construction, low cost, high reliability in service, and simple maintenance. In modern power drives, Sensorless Induction motor drives are more popular than other drives. A speed sensor/encoder-based drive is costlier and requires more space in case more parallel units are coupled together in drive operation. To address these difficulties, speed sensorless drives are introduced without loss of efficiency and reliability. However, Sensorless speed drive requires advanced control techniques in which complex calculations are there due to the nonlin

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41

Vieyra, Natanael, Paul Maya-Ortiz, and César Angeles-Camacho. "Two Decentralized Dynamic State Estimation Schemes for Multimachine Power Systems with Transmission Losses." International Transactions on Electrical Energy Systems 2023 (February 3, 2023): 1–17. http://dx.doi.org/10.1155/2023/1464297.

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This article addresses the problem of estimating the state of a multimachine power system (MPS). To work with power networks with lossy transmission lines, a variation of the classical third-order MPS is proposed by considering generators’ electrical power injected into the grid as a state variable. Based on a linear decentralized estimation model (tailored for a specific purpose), the state variables of generators (load angle, relative speed, and electrical power) together with terminal voltage magnitudes are estimated in a decentralized fashion through two new robustly convergent linear Luen

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42

Khan, Zeeshan Ahmad, Prashant Shrivastava, Syed Muhammad Amrr, et al. "A Comparative Study on Different Online State of Charge Estimation Algorithms for Lithium-Ion Batteries." Sustainability 14, no. 12 (2022): 7412. http://dx.doi.org/10.3390/su14127412.

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With an accurate state of charge (SOC) estimation, lithium-ion batteries (LIBs) can be protected from overcharge, deep discharge, and thermal runaway. However, selecting appropriate algorithms to maintain the trade-off between accuracy and computational efficiency is challenging, especially under dynamic load profiles such as electric vehicles. In this study, seven different widely utilized online SOC estimation algorithms were considered with the following goals: (a) to compare the accuracy of the different algorithms; (b) to compare the computational time in the simulation. Since the 2-RC ba

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43

Freudenthaler, G., F. Göttsch, and T. Meurer. "Backstepping-based extended Luenberger observer design for a Burgers-type PDE for multi-agent deployment * *Financial support by the German Research Council (DFG) in the project ME 3231/2-1 is gratefully acknowledged." IFAC-PapersOnLine 50, no. 1 (2017): 6780–85. http://dx.doi.org/10.1016/j.ifacol.2017.08.1196.

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44

Erdogmus, Deniz, A. Umut Genç, and José C. Príncipe. "A Neural Network Perspective to Extended Luenberger Observers." Measurement and Control 35, no. 1 (2002): 10–16. http://dx.doi.org/10.1177/002029400203500103.

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45

Xiao, Tengfei, and Xiao-Dong Li. "Eigenspectrum-based extended Luenberger observers for a class of distributed parameter systems." Journal of Process Control 96 (December 2020): 15–22. http://dx.doi.org/10.1016/j.jprocont.2020.10.008.

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46

Kaczmarczyk, Grzegorz, Radoslaw Stanislawski, and Marcin Kaminski. "Deep-Learning Techniques Applied for State-Variables Estimation of Two-Mass System." Energies 18, no. 3 (2025): 568. https://doi.org/10.3390/en18030568.

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The article is focused on the application of neural models for state-variables estimation. The estimators are applied in the control structure (with the state speed controller) of the electric drive with an elastic shaft. The extended amount of feedback is an additional argument for the estimation of the signal. The calculations are performed for three deep neural structures based on the Convolutional Neural Network (CNN) and the long short-term memory (LSTM). The design stages and the overall concept in this case are completely different than with the applications of classical observers (e.g.

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"Improvement of Induction Motor State Observation: Extended Kalman Filter Versus Adaptive Luenberger Observer." WSEAS TRANSACTIONS ON SYSTEMS AND CONTROL 15 (April 3, 2020). http://dx.doi.org/10.37394/23203.2020.15.14.

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the sensor-less control is a major issue in control domain. The use of sensors has several downsides like high cost, fragility and low reliability. Furthermore, the physical environment sometimes, does not allow to use sensors. Due to the multiple variables and non-linearity of induction motor dynamics, the estimation of the rotor speed and flux without the measurement is still a very challenging subject. The main objective of this paper is to present a comparative study between two observer’s structures, a full order adaptive observer based on Lyapunov theory and inherently extended Kalman fi

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Semcheddine, Samia, and Hanane Bouchareb. "ROBUST CONTROL AND STATE ESTIMATION OF A THREE-STAGE ANAEROBIC DIGESTION PROCESS." Ecological Engineering and Environment Protection, September 15, 2019, 29–38. http://dx.doi.org/10.32006/eeep.2019.2.2938.

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The production of biogas via an anaerobic fermentation process is very interesting for various reasons: it not only produces renewable energy, but also facilitates the disposal of organic waste, therefore it preserves the environment, it contributes to the resolution of energy problems in agriculture and agro industry, it’s available for everyone because the waste is available everywhere. This process takes place in continuously stirred tank bioreactor and is described by a highly nonlinear model whose parameters are often uncertain thereby requiring robust control in any process performance e

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Song, Yadong, Jiawei Ding, and Cao Tan. "Clamping-Force Estimation Method for Electro-Mechanical Brake Actuator Based on Enhanced Adaptive Extended State Observer." Physica Scripta, July 28, 2025. https://doi.org/10.1088/1402-4896/adf519.

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Abstract Electro-Mechanical Brake (EMB) is a highly promising development direction for brake-by-wire technology. The signal of the force sensor is the key to system control. However, force sensors are expensive and their stability decreases after frequent braking. One of the urgent problems to be solved is to obtain the force signal of EMB actuator without a force sensor. This article proposes a clamping-force estimation method for EMB actuator based on an enhanced adaptive extended state observer. Firstly, the extended state of the system was defined by simplifying the motor torque balance e

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Cooper, Matthew A., and Peter T. Heidlauf. "Nonlinear Feed Forward Control of a Perturbed Satellite using Extended Least Squares Adaptation and a Luenberger Observer." Journal of Aeronautics & Aerospace Engineering 07, no. 01 (2018). http://dx.doi.org/10.4172/2168-9792.1000205.

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