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Journal articles on the topic 'State observer design'

Author: Grafiati

Published: 4 June 2025

Last updated: 1 August 2025

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1

Huh, Kunsoo, and J. L. Stein. "Well-Conditioned Observer Design for Observer-Based Monitoring Systems." Journal of Dynamic Systems, Measurement, and Control 117, no. 4 (1995): 592–99. http://dx.doi.org/10.1115/1.2801119.

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Observer-based monitoring systems for machine diagnostics and control are receiving increased attention. These observer techniques can estimate process and machine variables from inexpensive, easy to install remote sensors based on state-space models of the machine structure between the machine variables of interest and the location of the remote sensors. Unfortunately, these observers can be ill-conditioned and this leads to poor performance. The authors have previously shown that observer performance can be represented by a single performance index, the condition number of the eigensystem of

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2

YAMADA, Minoru, Li XU, and Osami SAITO. "Design and Parameterization of 2D State Observer." Transactions of the Society of Instrument and Control Engineers 33, no. 8 (1997): 855–57. http://dx.doi.org/10.9746/sicetr1965.33.855.

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3

Chia-Chi Tsui. "Comparison of two state observer design algorithms." IEEE Transactions on Automatic Control 30, no. 12 (1985): 1238–40. http://dx.doi.org/10.1109/tac.1985.1103867.

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4

Chou, Fu-I., and Ming-Yang Cheng. "Optimal Observer Design of State Delay Systems." Mathematical Problems in Engineering 2019 (January 31, 2019): 1–8. http://dx.doi.org/10.1155/2019/8493298.

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This paper proposes a new method to design the observer for state delay systems such that (i) state estimation errors converge to zero quickly and (ii), at the same time, a quadratic performance measurement of the deviation of estimates from the actual states is minimized for reducing large error during the transient period of observation. The proposed new approach fuses the merits of both the orthogonal functions approach and evolutionary optimization. One illustrative example is given to verify the effectiveness and efficiency of the proposed new optimization method on performance improvemen

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5

WANG, ZIDONG, and H. UNBEHAUEN. "Robust state observer design guaranteeing D-stability." International Journal of Systems Science 29, no. 12 (1998): 1417–26. http://dx.doi.org/10.1080/00207729808929626.

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6

Roppenecker, G. "Modal approach to parametric state observer design." Electronics Letters 22, no. 3 (1986): 118. http://dx.doi.org/10.1049/el:19860083.

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7

Sauter, D., C. Aubrun, and D. Theilliol. "Adaptive State Observer Design for Fault Diagnosis." IFAC Proceedings Volumes 31, no. 18 (1998): 399–403. http://dx.doi.org/10.1016/s1474-6670(17)42024-6.

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8

Krasnova, Svetlana A. "Decomposition State Observer Design for Nonlinear Systems." IFAC Proceedings Volumes 34, no. 6 (2001): 941–46. http://dx.doi.org/10.1016/s1474-6670(17)35302-8.

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9

Misawa, E. A., J. K. Hedrick, J. J. E. Slotine, and G. C. Verghese. "Sliding Observer Design for Nonlinear State Estimation." IFAC Proceedings Volumes 22, no. 3 (1989): 285–90. http://dx.doi.org/10.1016/s1474-6670(17)53649-6.

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10

Pertew, A. M., H. J. Marquez, and Q. Zhao. "H∞ optimal sampled-data state observer design." IEE Proceedings - Control Theory and Applications 153, no. 4 (2006): 453–61. http://dx.doi.org/10.1049/ip-cta:20050051.

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11

Taniguchi, Tadanari, Luka Eciolaza, and Michio Sugeno. "Full-Order State Observer Design for Nonlinear Systems Based on Piecewise Bilinear Models." International Journal of Modeling and Optimization 4, no. 2 (2014): 120–25. http://dx.doi.org/10.7763/ijmo.2014.v4.358.

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12

Savin, Sergei, Sergey Jatsun, and Ludmila Vorochaeva. "State observer design for a walking in-pipe robot." MATEC Web of Conferences 161 (2018): 03012. http://dx.doi.org/10.1051/matecconf/201816103012.

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In this paper, a state observer design for a walking in-pipe robot is studied. The necessity of using a state observer is related to the fact that sensors have limited accuracy and are prone to producing noise. This is especially problematic for in-pipe walking robots, since they use model-based control and require accurate information of their current state. The paper shows that an iterative state observer based on solving Riccati equation provides significant improvements in the behaviour of the control system. It allows to smooth out the spikes in the control actions requested by controller

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13

Vinodh, Kumar E., Jerome Jovitha, and S. Ayyappan. "Comparison of four state observer design algorithms for MIMO system." Archives of Control Sciences 23, no. 2 (2013): 243–56. http://dx.doi.org/10.2478/acsc-2013-0015.

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A state observer is a system that models a real system in order to provide an estimate of the internal state of the system. The design techniques and comparison of four different types of state observers are presented in this paper. The considered observers include Luenberger observer, Kalman observer, unknown input observer and sliding mode observer. The application of these observers to a Multiple Input Multiple Output (MIMO) DC servo motor model and the performance of observers is assessed. In order to evaluate the effectiveness of these schemes, the simulated results on the position of DC

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14

Ahn, Jong-Kap, Yun-Hyun Lee, Ki-Tak Ryu, Heui-Han Yoo, and Myung-Ok So. "RCGA-Based State Observer Design for Container Cranes." Journal of the Korean Society of Marine Engineering 32, no. 4 (2008): 624–29. http://dx.doi.org/10.5916/jkosme.2008.32.4.624.

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15

YU, F., and D. A. CROLLA. "State Observer Design for an Adaptive Vehicle Suspension." Vehicle System Dynamics 30, no. 6 (1998): 457–71. http://dx.doi.org/10.1080/00423119808969461.

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16

Emelianova, J. P., and P. V. Pakshin. "Iterative Learning Control Design Based on State Observer." Automation and Remote Control 80, no. 9 (2019): 1561–73. http://dx.doi.org/10.1134/s0005117919090017.

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17

Tian, Li-Ping, Zhi-Jun Wang, Amin Mohammadbagheri, and Fang-Xiang Wu. "State Observer Design for Delayed Genetic Regulatory Networks." Computational and Mathematical Methods in Medicine 2014 (2014): 1–7. http://dx.doi.org/10.1155/2014/761562.

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Genetic regulatory networks are dynamic systems which describe the interactions among gene products (mRNAs and proteins). The internal states of a genetic regulatory network consist of the concentrations of mRNA and proteins involved in it, which are very helpful in understanding its dynamic behaviors. However, because of some limitations such as experiment techniques, not all internal states of genetic regulatory network can be effectively measured. Therefore it becomes an important issue to estimate the unmeasured states via the available measurements. In this study, we design a state observ

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18

Liu, Huabo, and Tong Zhou. "Distributed state observer design for networked dynamic systems." IET Control Theory & Applications 10, no. 9 (2016): 1001–8. http://dx.doi.org/10.1049/iet-cta.2015.0494.

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19

Kravaris, Costas, Vassilios Sotiropoulos, Costas Georgiou, Nikolaos Kazantzis, MingQing Xiao, and Arthur J. Krener. "Nonlinear observer design for state and disturbance estimation." Systems & Control Letters 56, no. 11-12 (2007): 730–35. http://dx.doi.org/10.1016/j.sysconle.2007.05.001.

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20

Besançon, Gildas, and Iulian Munteanu. "Control strategy for state and input observer design." Systems & Control Letters 85 (November 2015): 118–22. http://dx.doi.org/10.1016/j.sysconle.2015.09.010.

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21

Soroush, Masoud. "Nonlinear state-observer design with application to reactors." Chemical Engineering Science 52, no. 3 (1997): 387–404. http://dx.doi.org/10.1016/s0009-2509(96)00391-0.

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22

Sun, Yeong-Jeu. "Exponential State Observer Design for a Class of Uncertain Chaotic and Non-Chaotic Systems." International Journal of Trend in Scientific Research and Development Volume-3, Issue-1 (2018): 1158–61. http://dx.doi.org/10.31142/ijtsrd20219.

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23

Trigka, Maria, and Elias Dritsas. "Non-Linear Observer Design with Laguerre Polynomials." Entropy 24, no. 7 (2022): 913. http://dx.doi.org/10.3390/e24070913.

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In this paper, a methodology for a non-linear system state estimation is demonstrated, exploiting the input and parameter observability. For this purpose, the initial system is transformed into the canonical observability form, and the function that aggregates the non-linear dynamics of the system, which may be unknown or difficult to be computed, is approximated by a linear combination of Laguerre polynomials. Hence, the system identification translates into the estimation of the parameters involved in the linear combination in order for the system to be observable. For the validation of the

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24

Qu, Zhihua. "Robust state observer and control design using command-to-state mapping." Automatica 41, no. 8 (2005): 1323–33. http://dx.doi.org/10.1016/j.automatica.2005.03.021.

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25

Quan, Hong Wei. "Observer Path Design for Bearings-Only Localization with State Constraints." Applied Mechanics and Materials 373-375 (August 2013): 1493–96. http://dx.doi.org/10.4028/www.scientific.net/amm.373-375.1493.

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In bearings-only target localization, observer path have an important effect on the accuracy of target localization. Based on the analysis of Fisher information matrix, an optimal approach to designing observer path is proposed. Observer path derived from the step-by-step optimal algorithm only depends on observer's initial states and state constraints. The optimal path resulted with step-by-step algorithm is demonstrated by computer simulation. Compared with traditional methods, our algorithm is not limited to the number of observations as well as terminating conditions.

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26

Fink, Geoff, Mirko Franke, Alan F. Lynch, and Klaus Röbenack. "Observer design for monocular visual inertial SLAM." at - Automatisierungstechnik 66, no. 3 (2018): 246–57. http://dx.doi.org/10.1515/auto-2017-0082.

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Abstract This paper examines the state estimation problem for unmanned aerial vehicles when commonly used positioning systems such as the global positioning system or indoor motion capture systems are unavailable. The proposed method uses inertial sensor measurements along with scaled position measurements from an onboard computer vision system which implements visual simultaneous localization and mapping. A state transformation puts the system into a linear time-varying form which simplifies observability analysis and allows for an observer design with sufficient conditions for convergence. T

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27

Li, Yi Ming. "The Technology Research of State Observer Design for Second-Order Control System." Applied Mechanics and Materials 556-562 (May 2014): 2483–86. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.2483.

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For any second-order system, so long as it can be proved that it can be controlled and observed, it can proceed to the design of the observer. The article selects any second-order system, and the first the paper writes the block diagram of transfer function, and proves its controllability and observability, and then carries pole assignment with it. Finally the article designs the observer for the system. Through the simulation software can prove that the second-order system becomes into the stable system from the unstable system through the design of observer.

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28

Chouya, Ahmed. "Observers Design For Sensorless PMSMs." WSEAS TRANSACTIONS ON SYSTEMS 22 (February 28, 2023): 49–55. http://dx.doi.org/10.37394/23202.2023.22.6.

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A state observer is proposed for permanent magnet synchronous motors (PMSMs). The gain of this observer involves a design function that has to satisfy some mild conditions which are given. Different expressions of such a function are proposed. Of particular interest, it is shown that high gain observers and sliding mode like observers can be derived by considering particular expressions of the design function. The simulation is given in order to compare the performance of a high gain observer and a sliding mode observer obtained through two different choices of the design function. Simulation

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29

TADENUMA, Toshihide, Masaki OGURA, and Kenji SUGIMOTO. "Design of Gain Switching State Observer with Signal Losses." Transactions of the Society of Instrument and Control Engineers 55, no. 3 (2019): 164–71. http://dx.doi.org/10.9746/sicetr.55.164.

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30

Liu, Man, Yuan-Wei Jing, and Si-Ying Zhang. "ROBUST STATE OBSERVER DESIGN BASED ON REGIONAL POLE ASSIGNMENT." IFAC Proceedings Volumes 38, no. 1 (2005): 1263–68. http://dx.doi.org/10.3182/20050703-6-cz-1902.00211.

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31

Sun, Fei, Kostyantyn Lolenko, and Joachim Rudolph. "Nonlinear observer design for state estimation during antilock braking." Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 228, no. 2 (2013): 78–86. http://dx.doi.org/10.1177/0959651813509796.

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32

Bara, G. Iulia, Jamal Daafouz, Frédéric Kratz, and José Ragot. "Parameter-dependent state observer design for affine LPV systems." International Journal of Control 74, no. 16 (2001): 1601–11. http://dx.doi.org/10.1080/00207170110086953.

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33

Liu, Weirong, Yu Song, Hongtao Liao, et al. "Distributed Voltage Equalization Design for Supercapacitors Using State Observer." IEEE Transactions on Industry Applications 55, no. 1 (2019): 620–30. http://dx.doi.org/10.1109/tia.2018.2868539.

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34

Adhyaru, Dipak M. "State observer design for nonlinear systems using neural network." Applied Soft Computing 12, no. 8 (2012): 2530–37. http://dx.doi.org/10.1016/j.asoc.2012.02.017.

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35

SU, TZU-JENG, and ROY R. CRAIG. "Control design based on a linear state function observer." International Journal of Systems Science 23, no. 7 (1992): 1179–90. http://dx.doi.org/10.1080/00207729208949374.

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36

Huh, Kunsoo, Jongchul Jung, and Jeffrey L. Stein. "Discrete-Time Well-Conditioned State Observer Design and Evaluation." Journal of Dynamic Systems, Measurement, and Control 123, no. 4 (2001): 615–22. http://dx.doi.org/10.1115/1.1409553.

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Model-based monitoring systems based on state observer theory often have poor performance with respect to accuracy, bandwidth, reliability (false alarms), and robustness. The above limitations are closely related to the ill-conditioning factors such as transient characteristics due to unknown initial values and round-off errors, and steady-state accuracy due to plant perturbations and sensor bias. In this paper, by minimizing the effects of the ill-conditioning factors, a well-conditioned observer is proposed for the discrete-time systems. A performance index is determined to represent the qua

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37

Chen, Xiaoming, Mou Chen та Jun Shen. "State-bounding observer design for uncertain positive systems underℓ1performance". Optimal Control Applications and Methods 39, № 2 (2017): 589–600. http://dx.doi.org/10.1002/oca.2360.

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38

Granados-Salazar, Christian, Gerardo Espinosa-Pérez, and Michael Rojas. "Observer Design for a Lorenz Oscillator." Memorias del Congreso Nacional de Control Automático 6, no. 1 (2023): 491–96. http://dx.doi.org/10.58571/cnca.amca.2023.062.

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This article addresses the design problem of observers for the oscillator, focusing on the nonlinearities present in the model, which arise from the product between components of the state vector. These nonlinearities are particularly interesting because they allow obtaining an error dynamics that can be used to study the convergence properties of the observation scheme. In this sense, the design of a full-order observer is proposed, which is characterized by being a replica of the original system, with the addition of a correction term. Additionally, a numerical evaluation of the presented re

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39

Wang, Guoliang, and Bo Feng. "Observer Design for Delayed Markovian Jump Systems with Output State Saturation." Mathematical Problems in Engineering 2018 (2018): 1–14. http://dx.doi.org/10.1155/2018/9572927.

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This paper considers the observer design problem of continuous-time delayed Markovian jump systems with output state saturation. Different from the traditionally observer-based saturation control methods, a kind of system output state saturation with a partially delay-dependent property is proposed, where both nondelay and delay states exist at the same time but happen asynchronously. By exploiting the Bernoulli variable, the probability distributions of such two states are described and considered in the observer design. Based on an improved equality applied to deal with saturation terms, suf

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40

Lungu, Mihai, and Romulus Lungu. "Reduced-Order Multiple Observer for Aircraft State Estimation during Landing." Applied Mechanics and Materials 841 (June 2016): 253–59. http://dx.doi.org/10.4028/www.scientific.net/amm.841.253.

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The paper presents a new reduced-order multiple observer which can achieve the finite-time reconstruction of the system’s state associated to a multiple-model. This observer is a combination of a reduced-order observer and a full-order multiple observer. The design of the new observer involves the usage of the Lyapunov theory, the solving of a linear matriceal inequality, and a variables’ change. The steps of the design procedure have been software implemented in order to validate the new reduced-order multiple observer for the case of an aircraft motion during landing.

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41

Baranowski, Jerzy. "Observer Design for a Variable Moment of Inertia System." Energies 14, no. 18 (2021): 5850. http://dx.doi.org/10.3390/en14185850.

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Variable moment of inertia systems are common, and a popular laboratory system of this type is the “ball-and-beam”. Such systems are, however, nonlinear and often unstable. Efficient control requires full state information (or at least partial velocities), which are generally difficult to measure. That is why the design of state observers is a relevant problem. In this paper, a new design of an observer is proposed. This new nonlinear observer uses partial output injection and the circle criterion to ensure semiglobal stability. Moreover, we present a complete modeling of the system and system

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42

Han, Hugang, and Hak-Keung Lam. "Polynomial Controller Design Using Disturbance Observer." Journal of Advanced Computational Intelligence and Intelligent Informatics 19, no. 3 (2015): 439–46. http://dx.doi.org/10.20965/jaciii.2015.p0439.

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Disturbance observer-based control provides a promising approach to handle system disturbance and improve robustness. In this paper, a new fuzzy disturbance observer (FDO) is proposed into the SOS-based approach, where the polynomial fuzzy model is used to develop the system controller. Compared with other works published so far, the FDO mainly features two things: 1) the estimation error between the FDO and disturbance shrinks asymptotically to zero if the disturbance has a constant steady-state value; 2) parameters involved in the FDO is adjusted on the basis of the polynomial fuzzy model wh

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43

Alipouri, Yousef, and Lexuan Zhong. "Model-Based Observer Design Considering Unequal Measurement Delays." Actuators 10, no. 11 (2021): 281. http://dx.doi.org/10.3390/act10110281.

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State observers are essential components of a modern control system. It is often designed based on a mathematical model of the process, thus requiring detailed process knowledge. However, in the existing state estimation methods, equal delays are commonly assumed for all communication lines, which is unrealistic and poses problems such as instability and a degraded performance of observers when unequal time delays exist. In this paper, a design of observers considering the measurement delays is presented. To deal with this problem, a chain-based observer has been proposed in which each chain d

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44

Gao, Zilin, Jiang Xiong, Jing Zhong, Fuming Liu, and Qingshan Liu. "Adaptive State Observer Design for Dynamic Links in Complex Dynamical Networks." Computational Intelligence and Neuroscience 2020 (October 21, 2020): 1–8. http://dx.doi.org/10.1155/2020/8846438.

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The state observer for dynamic links in complex dynamical networks (CDNs) is investigated by using the adaptive method whether the networks are undirected or directed. In this paper, a complete network model is proposed, which is composed of two coupled subsystems called nodes subsystem and links subsystem, respectively. Especially, for the links subsystem, associated with some assumptions, the state observer with parameter adaptive law is designed. Compared to the existing results about the state observer design of CDNs, the advantage of this method is that a estimation problem of dynamic lin

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45

Septanto, Harry, Edi Kurniawan, Jalu Ahmad Prakosa, Samsul Hafiz, Made Widhi Surya Atman, and Oetomo Sudjana. "Discrete-time Luenberger observer design for Lithium-ion battery state-of-charge with stability guarantee." International Journal of Power Electronics and Drive Systems (IJPEDS) 15, no. 4 (2024): 2145–54. https://doi.org/10.11591/ijpeds.v15.i4.pp2145-2154.

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State-of-charge (SOC) estimation is particularly important as it provides information about the remaining energy capacity of the battery, allowing for better planning and utilization. Accurate SOC estimation is challenging because it cannot be directly measured from the battery. Instead, it is estimated by analyzing measurable variables such as current and voltage. To address this challenge, a discrete-time observer-based SOC estimation approach is proposed in this paper. This approach utilizes a second-order equivalent circuit model and a piecewise linear approximation to represent the relati

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46

GAZZAM, Noureddine, Kaouthar HADDADI, and Atallah BENALIA. "Observability and Observer Design of a Class of Switched Linear Systems." Electrotehnica, Electronica, Automatica 69, no. 2 (2021): 68–75. http://dx.doi.org/10.46904/eea.21.69.2.1108008.

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This paper addresses the observability analysis and the observer design of the continuous state for a particular class of linear switched systems. Using some dynamical properties of considered systems, we give a simple necessary and sufficient condition of the observability for a predetermined switching sequence. The obtained observability condition leads us to design a new real time state observer. This latter is based on the exact accumulation of the information provided from the switching sequence of modes, and it convergences once the observability condition is verified. Some examples with

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47

Zhang, Yuhuan. "Observer Design for a Core Circadian Rhythm Network." Scientific World Journal 2014 (2014): 1–8. http://dx.doi.org/10.1155/2014/476912.

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The paper investigates the observer design for a core circadian rhythm network inDrosophilaandNeurospora. Based on the constructed highly nonlinear differential equation model and the recently proposed graphical approach, we design a rather simple observer for the circadian rhythm oscillator, which can well track the state of the original system for various input signals. Numerical simulations show the effectiveness of the designed observer. Potential applications of the related investigations include the real-world control and experimental design of the related biological networks.

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48

Moreira, Lucas José da Silva, Mirko Fiacchini, Gildas Besançon, Francesco Ferrante, and Hervé Roustan. "State Affine Modeling and Observer Design for Hall-Héroult Process." IFAC-PapersOnLine 53, no. 2 (2020): 12020–25. http://dx.doi.org/10.1016/j.ifacol.2020.12.736.

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49

Arezki, H., A. Zemouche, F. Bedouhene, A. Alessandri, and M. T. Laleg-Kirati. "State Observer Design Method for a Class of Nonlinear Systems." IFAC-PapersOnLine 53, no. 2 (2020): 4935–40. http://dx.doi.org/10.1016/j.ifacol.2020.12.1074.

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50

YAMANE, Yuzo. "A Design of Adaptive State Regulator Using a System Observer." Transactions of the Society of Instrument and Control Engineers 22, no. 2 (1986): 143–49. http://dx.doi.org/10.9746/sicetr1965.22.143.

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