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Journal articles on the topic 'Extended state observers'

Author: Grafiati

Published: 2 June 2025

Last updated: 19 July 2025

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1

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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Martínez-García, Edgar Alonso, Joaquín Rivero-Juárez, Luz Abril Torres-Méndez, and Jorge Enrique Rodas-Osollo. "Divergent trinocular vision observers design for extended Kalman filter robot state estimation." Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 233, no. 5 (2018): 524–47. http://dx.doi.org/10.1177/0959651818800908.

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Here, we report the design of two deterministic observers that exploit the capabilities of a home-made divergent trinocular visual sensor to sense depth data. The three-dimensional key points that the observers can measure are triangulated for visual odometry and estimated by an extended Kalman filter. This work deals with a four-wheel-drive mobile robot with four passive suspensions. The direct and inverse kinematic solutions are deduced and used for the updating and prediction models of the extended Kalman filter as feedback for the robot’s position controller. The state-estimation visual od

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Humaidi, Amjad J. "Experimental Design and Verification of Extended State Observers for Magnetic Levitation System Based on PSO." Open Electrical & Electronic Engineering Journal 12, no. 1 (2018): 110–20. http://dx.doi.org/10.2174/1874129001812010110.

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Introduction: This work presents analysis, design and implementation of two schemes of Extended State Observer (ESO) to estimate the position, velocity and unmeasurable states for magnetic levitation systems, Linear ESO (LESO) and Nonlinear ESO (NESO). The multiplicity of design parameters for both LESO and NESO made it difficult to find appropriate setting of these parameters such that to reach satisfactory performance of observation process. Methods: Particle Swarm Optimization (PSO) technique is used to improve performance of observation process by finding optimal tuned parameters of observ

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Gu, Nan, Dan Wang, Zhouhua Peng, Jun Wang, and Qing-Long Han. "Disturbance observers and extended state observers for marine vehicles: A survey." Control Engineering Practice 123 (June 2022): 105158. http://dx.doi.org/10.1016/j.conengprac.2022.105158.

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Liu, Jiahao, Zhiqiang Zeng, Shangyao Shi, and Pengyun Chen. "Internal Model Principle-Based Extended State Observer for the Uncertain Systems with Nonconstant Disturbances." Actuators 13, no. 1 (2024): 29. http://dx.doi.org/10.3390/act13010029.

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Existing traditional expansion state observers exhibit good tracking performance for constant and low-frequency disturbances. However, their ability to track non-constant disturbances such as ramp and high-frequency harmonics is inadequate. This paper proposes an extended state observer design method based on the internal model principle. This method achieves precise tracking of non-constant disturbances in the system, effectively addressing the issue of disturbance estimation errors in conventional expansion state observers. When applied to control systems, this approach significantly mitigat

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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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Parada, Ricardo P., A. Tadeo Espinoza, Alejandro E. Dzul, and Francisco G. Salas. "Performance analysis of nonlinear observers applied to the fixed-wing unmanned aerial vehicles flight under decoupled-reduced model." International Journal of Micro Air Vehicles 9, no. 2 (2017): 111–23. http://dx.doi.org/10.1177/1756829317702673.

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In this paper, we present the design and implementation of two nonlinear observers: nonlinear extended state observer and sliding mode observer for estimating the pitch, yaw and roll angles and angular rates of a fixed-wing unmanned aerial vehicles system under a decoupled-reduced model in real flight experiments. A backstepping control law is designed for control in a decentralized way for altitude, yaw and roll of the airplane. This scheme allows us to test experimentally the feasibility of using the online estimated data from the observers in flight control, which is useful for increasing t

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Siket, Máté, György Eigner, Dániel András Drexler, Imre Rudas, and Levente Kovács. "State and Parameter Estimation of a Mathematical Carcinoma Model under Chemotherapeutic Treatment." Applied Sciences 10, no. 24 (2020): 9046. http://dx.doi.org/10.3390/app10249046.

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One challenging aspect of therapy optimization and application of control algorithms in the field of tumor growth modeling is the limited number of measurable physiological signals—state variables—and the knowledge of model parameters. A possible solution to provide such information is the application of observer or state estimator. One of the most widely applied estimators for nonlinear problems is the extended Kalman filter (EKF). In this study, a moving horizon estimation (MHE)-based observer is developed and compared to an optimized EKF. The observers utilize a third-order tumor growth mod

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Proietti, Massimiliano, Alexander Pickston, Francesco Graffitti, et al. "Experimental test of local observer independence." Science Advances 5, no. 9 (2019): eaaw9832. http://dx.doi.org/10.1126/sciadv.aaw9832.

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The scientific method relies on facts, established through repeated measurements and agreed upon universally, independently of who observed them. In quantum mechanics the objectivity of observations is not so clear, most markedly exposed in Wigner’s eponymous thought experiment where two observers can experience seemingly different realities. The question whether the observers’ narratives can be reconciled has only recently been made accessible to empirical investigation, through recent no-go theorems that construct an extended Wigner’s friend scenario with four observers. In a state-of-the-ar

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Asiri, Sharefa, Chadia Zayane-Aissa, and Taous-Meriem Laleg-Kirati. "An Adaptive Observer-Based Algorithm for Solving Inverse Source Problem for the Wave Equation." Mathematical Problems in Engineering 2015 (2015): 1–8. http://dx.doi.org/10.1155/2015/796539.

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Observers are well known in control theory. Originally designed to estimate the hidden states of dynamical systems given some measurements, the observers scope has been recently extended to the estimation of some unknowns, for systems governed by partial differential equations. In this paper, observers are used to solve inverse source problem for a one-dimensional wave equation. An adaptive observer is designed to estimate the state and source components for a fully discretized system. The effectiveness of the algorithm is emphasized in noise-free and noisy cases and an insight on the impact o

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TEPPA-GARRAN, P., and G. GARCIA. "REDUCED ORDER EXTENDED STATE OBSERVER WITHOUT OUTPUT DERIVATIVE IN ADRC." Latin American Applied Research - An international journal 45, no. 4 (2015): 239–44. http://dx.doi.org/10.52292/j.laar.2015.404.

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As an observer based method; the ESO in ADRC introduces more phase lag when the observer order becomes higher. The key detriment of phase lag is the reduction of loop stability. A way to decrease the phase lag is to employ a RESO. Nevertheless, the underlying disadvantage of this approach is that RESO computation depends on output derivative. To overcome this problem, the derivative of the output is usually approximated from the difference of two neighbouring output sample values. However, this approach is not convenient for two raisons. First, the use of simple differences to derive the outpu

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Azar, Ahmad Taher, Farah Ayad Abdul-Majeed, Hasan Sh Majdi, et al. "Parameterization of a Novel Nonlinear Estimator for Uncertain SISO Systems with Noise Scenario." Mathematics 10, no. 13 (2022): 2261. http://dx.doi.org/10.3390/math10132261.

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Dynamic observers are commonly used in feedback loops to estimate the system’s states from available control inputs and measured outputs. The presence of measurement noise degrades the performance of the observer and consequently degrades the performance of the controlled system. This paper presents a novel nonlinear higher-order extended state observer (NHOESO) for efficient state and disturbance estimation in presence of measurement noise for nonlinear single-input–single-output systems. The proposed nonlinear function allows a fast reconstruction of the system’s states and is robust against

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Kang, Song, Yongfeng Rong, and Wusheng Chou. "Antidisturbance Control for AUV Trajectory Tracking Based on Fuzzy Adaptive Extended State Observer." Sensors 20, no. 24 (2020): 7084. http://dx.doi.org/10.3390/s20247084.

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In this paper, an output-feedback fuzzy adaptive dynamic surface controller (FADSC) based on fuzzy adaptive extended state observer (FAESO) is proposed for autonomous underwater vehicle (AUV) systems in the presence of external disturbances, parameter uncertainties, measurement noises and actuator faults. The fuzzy logic system is incorporated into both the observers and controllers to improve the adaptability of the entire system. The dynamics of the AUV system is established first, considering the external disturbances and parameter uncertainties. Based on the dynamic models, the ESO, combin

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PEREIRA-PINTO, FRANCISCO HEITOR I., ARMANDO M. FERREIRA, and MARCELO A. SAVI. "STATE SPACE RECONSTRUCTION USING EXTENDED STATE OBSERVERS TO CONTROL CHAOS IN A NONLINEAR PENDULUM." International Journal of Bifurcation and Chaos 15, no. 12 (2005): 4051–63. http://dx.doi.org/10.1142/s0218127405014490.

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Chaos control may be understood as the use of tiny perturbations for the stabilization of unstable periodic orbits embedded in a chaotic attractor. Since chaos may occur in many natural processes, the idea that chaotic behavior may be controlled by small perturbations of some physical parameter allows this kind of behavior to be desirable in different applications. In general, it is not necessary to have a mathematical model to achieve the control goal since all control parameters may be resolved from time series analysis. Therefore, state space reconstruction is an important task related to c

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Wu, Nianzhe, Jianning Li, and Ju Xiong. "An Integrated Design of Course-Keeping Control and Extended State Observers for Nonlinear USVs with Disturbances." Journal of Marine Science and Engineering 13, no. 5 (2025): 967. https://doi.org/10.3390/jmse13050967.

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The integrated design problem of non-fragile controllers and extended state observers (ESOs) for nonlinear unmanned surface vehicles (USVs) under mismatched disturbances is addressed in this paper. First, an integrated model combining the USV system and the rudder system is developed, which includes a second-order underdamped system and a Norrbin nonlinear model incorporating uncertainties. Due to the coupling issues in the design of controllers and observers caused by parameter perturbations or other unmodeled dynamics, an integrated design method, which enables the simultaneous computation o

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Trinh, Hoai An, Hoai Vu Anh Truong, and Kyoung Kwan Ahn. "Fault Estimation and Fault-Tolerant Control for the Pump-Controlled Electrohydraulic System." Actuators 9, no. 4 (2020): 132. http://dx.doi.org/10.3390/act9040132.

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This paper proposes a fault estimation and fault-tolerant control strategy with two observers for a pump-controlled electro-hydraulic system (PCEHS) under the presence of internal leakage faults and an external loading force. The mathematical model of the PCEHS is dedicatedly derived in the state-space form for developing control methodology. Two different observers are developed in which an extended state observer is applied to estimate the internal leakage flow rate, and a disturbance observer is used to deal with the external loading force. Then, the proposed control is designed based on th

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Chen, Hua, Huilin Li, YiWen Yang, and Lulu Chu. "Fixed-time output tracking control for extended nonholonomic chained-form systems with state observers." Measurement and Control 53, no. 3-4 (2020): 400–408. http://dx.doi.org/10.1177/0020294019877519.

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This paper deals with the fixed-time tracking control problem of extended nonholonomic chained-form systems with state observers. According to the structure characteristic of such chained-form systems, two subsystems are considered to design controllers, respectively. First of all, using the fixed-time control theory, a controller is proposed to make the first tracking error subsystem converge to zero in bounded time independent initial state. Second, a state observer is proposed to estimate the unmeasurable states of the second subsystem. And the precise state estimation can be presented from

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Huba, Mikuláš, Mária Hypiusová, Peter Ťapák, and Damir Vrancic. "Active Disturbance Rejection Control for DC Motor Laboratory Plant Learning Object." Information 11, no. 3 (2020): 151. http://dx.doi.org/10.3390/info11030151.

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The paper deals with learning objects for introductory modeling of simple dynamical systems and design of controllers with disturbance observer-based integral action. They can be used to illustrate the design process of state controllers, state and disturbance observers, as well as to get in touch with a popular approach called active disturbance rejection control (ADRC). In both cases, external disturbances along with errors resulting from model inaccuracies are reconstructed using the extended state observer (ESO). In addition to simulation and design of regulators and observers in Matlab/Si

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Zhao, Jiaqi, Dongzhu Feng, Jiashan Cui, and Xin Wang. "Finite-Time Extended State Observer-Based Fixed-Time Attitude Control for Hypersonic Vehicles." Mathematics 10, no. 17 (2022): 3162. http://dx.doi.org/10.3390/math10173162.

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A finite-time extended, state-observer-based, fixed-time backstepping control algorithm was designed for hypersonic flight vehicles. To enhance the robustness of the controller, two novel finite-time extended state observers were introduced to compensate for the negative effects of lumped disturbances such as uncertainties and external disturbances. Two hyperbolic sine tracking differentiators were used to approximate the derivatives of the virtual control signals and guidance commands, thereby alleviating the computational burden associated with traditional backstepping control. Furthermore,

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Wang, Ruiying, and Jun Shen. "Disturbance Observer and Adaptive Control for Disturbance Rejection of Quadrotor: A Survey." Actuators 13, no. 6 (2024): 217. http://dx.doi.org/10.3390/act13060217.

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Quadrotors are widely applied in many fields, but they often face various external disturbances in actual operation. This makes it necessary to design a controller that can handle disturbances. Disturbance observer and adaptive control techniques are commonly used disturbance rejection techniques, the core idea of which is to estimate the disturbances in real time and incorporate the estimated values into the controller to suppress the disturbances. In this paper, various disturbance observers and adaptive control techniques, including nonlinear disturbance observers, extended state observers,

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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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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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Erazo, Christiav, Fabiola Angulo, and Gerard Olivar. "Stability analysis of the extended state observers by Popov criterion." Theoretical and Applied Mechanics Letters 2, no. 4 (2012): 043006. http://dx.doi.org/10.1063/2.1204306.

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Manin, Alexander A., Sergey V. Sokolov, Arthur I. Novikov, Marianna V. Polyakova, Dmitriy N. Demidov, and Tatyana P. Novikova. "Kalman Filter Adaptation to Disturbances of the Observer’s Parameters." Inventions 6, no. 4 (2021): 80. http://dx.doi.org/10.3390/inventions6040080.

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Currently, one of the most effective algorithms for state estimation of stochastic systems is a Kalman filter. This filter provides an optimal root-mean-square error in state vector estimation only when the parameters of the dynamic system and its observer are precisely known. In real conditions, the observer’s parameters are often inaccurately known; moreover, they change randomly over time. This in turn leads to the divergence of the Kalman estimation process. The problem is currently being solved in a variety of ways. They include the use of interval observers, the use of an extended Kalman

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Sandoval-Chileño, M. A., N. Lozada-Castillo, R. Cortez, A. Luviano-Juárez, and J. Vazquez-Arenas. "State of charge estimator based on tractable extended state observers for supercapacitor packs." Journal of Energy Storage 85 (April 2024): 111086. http://dx.doi.org/10.1016/j.est.2024.111086.

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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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Shi, Di, Zhong Wu, and Wusheng Chou. "Anti-disturbance trajectory tracking of quadrotor vehicles via generalized extended state observer." Journal of Vibration and Control 26, no. 13-14 (2019): 1173–86. http://dx.doi.org/10.1177/1077546319892752.

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During the trajectory tracking process and low altitude flight of quadrotor, wind gust and ground effect will significantly affect the accuracy and stability of the controller. Therefore, it is vital for a quadrotor to have a robust controller against multiple disturbances. To mitigate this challenge, an active anti-disturbance control strategy based on generalized extended state observer is proposed in this article. Firstly, quadrotor dynamics is modeled as cascaded translational and rotational loops, and the characteristics of wind gust and ground effect are analyzed. Secondly, two generaliz

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Pécute;Rez-Lozano, Rigoberto, and Rogelio Soto. "From Pole Placement Feedback to Estimator Design Using Analog Computers." International Journal of Electrical Engineering & Education 30, no. 4 (1993): 317–28. http://dx.doi.org/10.1177/002072099303000405.

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From pole placement feedback to estimator design using analog computers This paper describes analog-based control lab. simulations. Simulations deal with pole placement feedback and asymptotic observers. For asymptotic state observers, the transfer function approach is just outlined. All simulations are implemented using the state variable approach. Simulations are extended to analyze heuristic pole-placement selection and to evaluate reduced-order estimators.

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LUVIANO-JUÁREZ, ALBERTO, JOHN CORTÉS-ROMERO, and HEBERTT SIRA-RAMÍREZ. "SYNCHRONIZATION OF CHAOTIC OSCILLATORS BY MEANS OF GENERALIZED PROPORTIONAL INTEGRAL OBSERVERS." International Journal of Bifurcation and Chaos 20, no. 05 (2010): 1509–17. http://dx.doi.org/10.1142/s0218127410026654.

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The problem of synchronization of chaotic oscillators, using state observers, is handled through the use of a simplified perturbed linear integration model of the chaotic system output dynamics. The linear simplified model of the chaotic system does not entitle approximate linearizations, nor state coordinate transformations, but, simply, a pure linear integration model with additive unknown but bounded perturbation inputs lumping all the output dynamics nonlinearities. An extended linear state observer (here addressed as Generalized Proportional Integral (GPI) observer) is proposed for the ac

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Abbas, Ahmed H. R., Akhmedov Abdulaziz, Ahmed Hussein Alawadi, P. B. Edwin Prabhakar, Santhosh Kumar C, and Lalitkumar Wadhwa. "Advancements in Sensorless Control Techniques for Electric Drives." E3S Web of Conferences 540 (2024): 02010. http://dx.doi.org/10.1051/e3sconf/202454002010.

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This study reviews the work around the burgeoning field of sensorless control techniques in electric drives, fuelled by advances in power electronics and digital signal processing. The review categorizes these techniques into two primary approaches: methods relying on motor terminal quantities and those utilizing state observers. Terminal-based methods offer simplicity by measuring motor voltages and currents, while state observer techniques like the Extended Kalman Filter and Sliding Mode Observer provide higher accuracy through the estimation of internal motor states. Despite challenges such

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Mai, Ge, Hongliang Wang, Yilin Wang, Xinghua Wu, Peiyao Jiang, and Genyuan Feng. "Nonlinear Extended State Observer and Prescribed Performance Fault-Tolerant Control of Quadrotor Unmanned Aerial Vehicles Against Compound Faults." Aerospace 11, no. 11 (2024): 903. http://dx.doi.org/10.3390/aerospace11110903.

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Addressing trajectory and attitude control challenges in quadrotor UAVs amid compound faults and unknown external disturbances, this paper introduces a fault-tolerant control method predicated on nonlinear extended state observers. Initially, the UAV’s dynamic model is optimized and decoupled, forming a rapid non-singular terminal sliding mode surface that circumvents the singular phenomena typical in conventional terminal sliding mode controls. A nonlinear extended state observer is then deployed to estimate the unknown states triggered by compound faults and disturbances within the control s

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Rojas, Harvey David, Herbert Enrique Rojas, and John Cortés-Romero. "Fault diagnosis based on algebraic identification assisted by extended state observers." Nonlinear Dynamics 107, no. 1 (2021): 871–88. http://dx.doi.org/10.1007/s11071-021-07053-3.

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Rodríguez, Antonio J., Emilio Sanjurjo, Roland Pastorino, and Miguel Á. Naya. "Multibody-Based Input and State Observers Using Adaptive Extended Kalman Filter." Sensors 21, no. 15 (2021): 5241. http://dx.doi.org/10.3390/s21155241.

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The aim of this work is to explore the suitability of adaptive methods for state estimators based on multibody dynamics, which present severe non-linearities. The performance of a Kalman filter relies on the knowledge of the noise covariance matrices, which are difficult to obtain. This challenge can be overcome by the use of adaptive techniques. Based on an error-extended Kalman filter with force estimation (errorEKF-FE), the adaptive method known as maximum likelihood is adjusted to fulfill the multibody requirements. This new filter is called adaptive error-extended Kalman filter (AerrorEKF

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Pu, Zhiqiang, Ruyi Yuan, Jianqiang Yi, and Xiangmin Tan. "A Class of Adaptive Extended State Observers for Nonlinear Disturbed Systems." IEEE Transactions on Industrial Electronics 62, no. 9 (2015): 5858–69. http://dx.doi.org/10.1109/tie.2015.2448060.

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Liu, Bei, Yang Yi, Hong Shen, and Chengbo Niu. "Composite observer-based integral sliding mode dynamical tracking control for nonlinear systems subject to actuator faults and mismatched disturbances." Measurement and Control 53, no. 7-8 (2020): 1309–17. http://dx.doi.org/10.1177/0020294020923077.

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This brief proposes a novel composite observer-based integral sliding mode tracking control algorithm for a class of nonlinear systems affected by both actuator faults and mismatched disturbances. First, different types of observers, including the extended state observer, the fault diagnosis observer, and the disturbance observer, are integrated to estimate the unknown system state, actuator faults, and mismatched disturbances timely. Then, in accordance with the estimation information, the integral sliding surface and the integral sliding mode controller are proposed, which can tolerate the a

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Németh, Balázs, Tamás Hegedűs, and Péter Gáspár. "Design Framework for Achieving Guarantees with Learning-Based Observers." Energies 14, no. 8 (2021): 2039. http://dx.doi.org/10.3390/en14082039.

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The paper proposes a novel framework for state observer design, in which learning-based observers are incorporated. The aim of the method is to provide a framework, which is able to guarantee the limitation of the observation error, even if the error of the learning-based observer under all scenarios cannot be verified. The framework is based on the robust H∞ design method, which is able to provide guarantees on the resulted observer. Moreover, the observer design process is extended with a controller design, which leads to a joint robust H∞ controller-observer design. In this paper the propos

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Schimmack, Manuel, Květoslav Belda, and Paolo Mercorelli. "Sensor Fusion for Power Line Sensitive Monitoring and Load State Estimation." Sensors 23, no. 16 (2023): 7173. http://dx.doi.org/10.3390/s23167173.

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This paper deals with a specific approach to fault detection in transformer systems using the extended Kalman filter (EKF). Specific faults are investigated in power lines where a transformer is connected and only the primary electrical quantities, input voltage, and current are measured. Faults can occur in either the primary or secondary winding of the transformer. Two EKFs are proposed for fault detection. The first EKF estimates the voltage, current, and electrical load resistance of the secondary winding using measurements of the primary winding. The model of the transformer used is known

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Sandoval-Chileño, Marco A., Luis A. Castañeda, Alberto Luviano-Juárez, Octavio Gutiérrez-Frías, and Jorge Vazquez-Arenas. "Robust State of Charge estimation for Li-ion batteries based on Extended State Observers." Journal of Energy Storage 31 (October 2020): 101718. http://dx.doi.org/10.1016/j.est.2020.101718.

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Jankowska, Kamila, Mateusz Dybkowski, Viktor Petro, and Karol Kyslan. "Classification of Speed Sensor Faults Based on Shallow Neural Networks." Applied Sciences 13, no. 12 (2023): 7263. http://dx.doi.org/10.3390/app13127263.

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This paper presents a novel speed sensor fault detection, classification, and compensation mechanism in a permanent magnet synchronous motor (PMSM) drive system. Application is based on state variable observers and shallow neural networks (NN). Classical fault detection mechanism based on state variable observers has been extended with neural networks. This enables improved detection efficiency and increases immunity to false alarms. In addition, the use of neural networks allowed for the classification of the failure type. Three types of failures are considered in the paper: signal loss, scal

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Majid, H., and H. Abouaïssa. "Comparative Study of a Super-Twisting Sliding Mode Observer and an Extended Kalman Filter for a Freeway Traffic System." Cybernetics and Information Technologies 15, no. 2 (2015): 141–58. http://dx.doi.org/10.1515/cait-2015-0034.

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Abstract Traffic state estimation represents one of the important ingredients for traffic prediction and forecasting. The work presented in this paper deals with the estimation of traffic state variables (density and speed), using the so called Super- Twisting Sliding Mode Observer (STSM). Several numerical simulations, using simulated and real data, show the relevance of the proposed approach. In addition, a comparative study with the Extended Kalman Filter (EKF) is carried-out. The comparison indices concern convergence and stability, dynamic performance and robustness. The design of the two

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Tatjewski, Piotr. "Disturbance modeling and state estimation for offset-free predictive control with state-space process models." International Journal of Applied Mathematics and Computer Science 24, no. 2 (2014): 313–23. http://dx.doi.org/10.2478/amcs-2014-0023.

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Abstract Disturbance modeling and design of state estimators for offset-free Model Predictive Control (MPC) with linear state-space process models is considered in the paper for deterministic constant-type external and internal disturbances (modeling errors). The application and importance of constant state disturbance prediction in the state-space MPC controller design is presented. In the case with a measured state, this leads to the control structure without disturbance state observers. In the case with an unmeasured state, a new, simpler MPC controller-observer structure is proposed, with

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Zhao, Gaoyang, Weilin Zhu, Jinyuan Wang, Jianyong Yao, Hui Sun, and Ning Zhou. "Adaptive-Extended-State-Observer-Based Robust Control of Electrohydraulic Missile Launcher With Disturbances Rejection." Journal of Physics: Conference Series 2891, no. 10 (2024): 102003. https://doi.org/10.1088/1742-6596/2891/10/102003.

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Abstract In this paper, a disturbance-compensated robust controller was used for electrohydraulic missile launchers with the aim of improving the motion accuracy of the system. In the case of both matched and unmatched disturbances, adaptive extended state observers were employed in order to estimate unmodelled disturbances, external disturbances, and so forth. It was thus resolved to implement a feedforward compensation mechanism in order to counteract the effects of unknown disturbances, based on online estimates of the disturbances with the intention of enhancing the performance of the prop

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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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Czopek, Paweł, and Jakub Bernat. "Design and Analysis of the Model Based Control System for an MRE Axisymmetric Actuator." Electronics 12, no. 21 (2023): 4386. http://dx.doi.org/10.3390/electronics12214386.

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The magnetorheological elastomer membrane is an interesting kind of smart material that is gaining new innovative applications. This work is focused on the design of the control system for magnetorheological elastomer actuators. In general, the plant is characterized by fast oscillations and slow drift. Therefore, controllers utilize the described features to obtain the solution aimed at, which makes them unique. We analyze two approaches based on output feedback with state estimation. The control algorithms have different observers to estimate the state. The first is a Linear Extended State O

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Liu, Anquan, Tao Li, Yu Gu, and Haohui Dai. "String Stability of Homogenous Vehicle Platoons Based on Cooperative Extended State Observers." IFAC-PapersOnLine 53, no. 2 (2020): 14432–37. http://dx.doi.org/10.1016/j.ifacol.2020.12.1442.

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Abdul-Adheem, Wameedh Riyadh, Ahmad Taher Azar, Ibraheem Kasim Ibraheem, and Amjad J. Humaidi. "Novel Active Disturbance Rejection Control Based on Nested Linear Extended State Observers." Applied Sciences 10, no. 12 (2020): 4069. http://dx.doi.org/10.3390/app10124069.

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In this paper, a Novel Active Disturbance Rejection Control (N-ADRC) strategy is proposed that replaces the Linear Extended State Observer (LESO) used in Conventional ADRC (C-ADRC) with a nested LESO. In the nested LESO, the inner-loop LESO actively estimates and eliminates the generalized disturbance. Increasing the bandwidth improves the estimation accuracy which may tolerate noise and conflict with H/W limitations and the sampling frequency of the system. Therefore, an alternative scenario is offered without increasing the bandwidth of the inner-loop LESO provided that the rate of change of

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Huang, Yuan, Junzheng Wang, Dawei Shi, and Ling Shi. "Performance Assessment of Discrete-Time Extended State Observers: Theoretical and Experimental Results." IEEE Transactions on Circuits and Systems I: Regular Papers 65, no. 7 (2018): 2256–68. http://dx.doi.org/10.1109/tcsi.2017.2780161.

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Madoński, R., and P. Herman. "Survey on methods of increasing the efficiency of extended state disturbance observers." ISA Transactions 56 (May 2015): 18–27. http://dx.doi.org/10.1016/j.isatra.2014.11.008.

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Xiao, Zijian, Xiaohua Liu, Ze-Hao Wu, Pengyu Zeng, and Zhongwen Liang. "Homogeneous nonlinear event-triggered extended state observers for uncertain MIMO random systems." Communications in Nonlinear Science and Numerical Simulation 148 (September 2025): 108827. https://doi.org/10.1016/j.cnsns.2025.108827.

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Shao, Lihuan, Changfeng Zheng, Yan Zhang, Guanling Xie, Xiyu Hao, and Xiaolong Zheng. "Research on Permanent Magnet Synchronous Motor Sensorless Control System Based on Integral Backstepping Controller and Enhanced Linear Extended State Observer." Applied Sciences 13, no. 3 (2023): 1680. http://dx.doi.org/10.3390/app13031680.

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The traditional sensorless control system of permanent magnet synchronous motor (PMSM) has the problems of low estimation accuracy and poor anti-interference ability. Moreover, the position estimation performance is subjected to position harmonic ripples caused by inverter nonlinearities and flux spatial harmonics. To optimize the dynamic performance of the PMSM sensorless control system, this paper proposes a sensorless control scheme that combines integral backstepping control with enhanced linear extended state observer (ELESO). The ELESO consists of two linear extended state observers (LES

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