Relevant bibliographies by topics / Adaptive gain observers

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Adaptive gain observers'

Author: Grafiati
Published: 4 June 2021
Last updated: 16 February 2022

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Journal articles on the topic "Adaptive gain observers"

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Guo, Jie, Zhanshan Zhao, Jing Zhang, and Gang Ding. "Adaptive observation control for synchronization of coronary artery time-delay systems." Modern Physics Letters B 33, no. 36 (2019): 1950454. http://dx.doi.org/10.1142/s0217984919504542.

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This paper investigates novel adaptive observation control for synchronization of uncertain chaotic coronary artery system (CCAS). Novel adaptive observers are developed to obtain the estimated system states of uncertain CCAS which has unknown parameters. By utilizing the adaptive observers and controller we proposed, the adaptation of unknown parameters has been achieved and the asymptotic stability of the synchronization error as well as the estimation errors are guaranteed. For the purpose of further reducing the conservatism, new Lyapunov Krasovskii functions (LKFs) which maintain more sys
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Schwartz, Manuel, Stefan Krebs, and Sören Hohmann. "Guaranteed State Estimation Using a Bundle of Interval Observers with Adaptive Gains Applied to the Induction Machine." Sensors 21, no. 8 (2021): 2584. http://dx.doi.org/10.3390/s21082584.

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The scope of this paper is the design of an interval observer bundle for the guaranteed state estimation of an uncertain induction machine with linear, time-varying dynamics. These guarantees are of particular interest in the case of safety-critical systems. In many cases, interval observers provide large intervals for which the usability becomes impractical. Hence, based on a reduced-order hybrid interval observer structure, the guaranteed enclosure within intervals of the magnetizing current’s estimates is improved using a bundle of interval observers. One advantage of such an interval obser
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Abdelkader, Krifa, and Bouzrara Kais. "Robust H∞ gain neuro-adaptive observer design for nonlinear uncertain systems." Transactions of the Institute of Measurement and Control 41, no. 8 (2018): 2293–309. http://dx.doi.org/10.1177/0142331218798685.

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To guarantee convergent state estimates and exact approximations, it is highly desirable that observers can independently dominate the effects of unmodelled dynamics. Based on adaptive nonlinear approximation, this paper presents a robust H∞ gain neuro-adaptive observer (R H∞GNAO) design methodology for a large class of uncertain nonlinear systems in the presence of time-varying unknown parameters with bounded external disturbances on the state vector and on the output of the original system. The proposed R H∞GNAO incorporates radial basis function neural networks (RBFNNs) to approximate the u
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ZHU, FANG-LAI, and MAO-YIN CHEN. "OBSERVER-BASED SYNCHRONIZATION OF UNCERTAIN CHAOTIC SYSTEMS: COMPARISON BETWEEN REDUCED-ORDER AND FULL-ORDER OBSERVERS." International Journal of Bifurcation and Chaos 18, no. 10 (2008): 3129–36. http://dx.doi.org/10.1142/s0218127408022299.

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Within the drive-response configuration, this paper considers the synchronization of uncertain chaotic systems based on observers. Even if there are unknown disturbances and parameters in the drive system, a robust adaptive full-order observer can be used to realize chaos synchronization. Further, we develop a reduced-order observer-based response system to synchronize the drive system. By choosing a special reduced-order gain matrix, the reduced-order observer-based response system turns out to be linear and can eliminate the influence of the unknown disturbances and parameters directly. We a
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Xi, Xiaoye, Tingzhang Liu, Jianfei Zhao, and Limin Yan. "Output feedback fault-tolerant control for a class of nonlinear systems via dynamic gain and neural network." Neural Computing and Applications 32, no. 10 (2019): 5517–30. http://dx.doi.org/10.1007/s00521-019-04583-1.

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Abstract In this paper, by combining the dynamic gain and the self-adaptive neural network, an output feedback fault-tolerant control method was proposed for a class of nonlinear uncertain systems with actuator faults. First, the dynamic gain was introduced and the coordinate transformation of the state variables of the system was performed to design the corresponding state observers. Then, the observer-based output feedback controller was designed through the back-stepping method. The output feedback control method based on the dynamic gain can solve the adaptive fault-tolerant control proble
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Loría, Antonio, Elena Panteley, and Arturo Zavala. "SPEED-GRADIENT ADAPTIVE HIGH-GAIN OBSERVERS FOR SYNCHRONIZATION OF CHAOTIC SYSTEMS." IFAC Proceedings Volumes 40, no. 13 (2007): 232–37. http://dx.doi.org/10.3182/20070829-3-ru-4911.00038.

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Torres, Jorge A., Arno Sonck, Sergej Čelikovský, and Alma R. Dominguez. "Constant-gain nonlinear adaptive observers revisited: an application to chemostat systems." Frontiers of Information Technology & Electronic Engineering 22, no. 1 (2021): 68–78. http://dx.doi.org/10.1631/fitee.2000368.

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Liu, Haitao, Jianhao Nie, Jian Sun, and Xuehong Tian. "Adaptive Super-Twisting Sliding Mode Control for Mobile Robots Based on High-Gain Observers." Journal of Control Science and Engineering 2020 (August 1, 2020): 1–13. http://dx.doi.org/10.1155/2020/4048507.

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In this paper, a robust adaptive output feedback control strategy based on a sliding mode super-twisting algorithm is designed for the trajectory tracking control of a wheeled mobile robot. First, a robust adaptive law is designed to eliminate the influence of parameter uncertainties. Second, a double-power sliding mode surface is designed to improve the response speed of the robot system. Finally, a high-gain observer is employed to estimate the speed information. The stability of the closed-loop system is proved using the Lyapunov stability theorem. The effectiveness of the proposed control
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Shakarami, Mehran, Kasra Esfandiari, Amir Abolfazl Suratgar, and Heidar Ali Talebi. "Peaking Attenuation of High-Gain Observers Using Adaptive Techniques: State Estimation and Feedback Control." IEEE Transactions on Automatic Control 65, no. 10 (2020): 4215–29. http://dx.doi.org/10.1109/tac.2020.2966111.

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Yang, Jian Guo, Fu Zhou, and Bei Zhi Li. "Study on Sensorless Control Model Based on a Model Reference Adaptive System with Parameter Optimization." Applied Mechanics and Materials 121-126 (October 2011): 4770–78. http://dx.doi.org/10.4028/www.scientific.net/amm.121-126.4770.

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A sensorless control model based on a model reference adaptive system (MRAS) with the theory of parameter optimization for the Permanent Magnet Synchronous Motors (PMSM) servo system is presented in this paper. The model can promptly work out the speed of the rotor without any other position/speed sensor. Different from the other MRAS-based speed observers which constructed according the theory of stability customarily, by using the error between the measured phase currents of actual motors and theoretic phase currents acquired by the mathematical model of motors as the parameter to be optimiz
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Dissertations / Theses on the topic "Adaptive gain observers"

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Ingallina, Alessandro. "Adaptive High-Gain Observers via Discete time Identifier." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2019.

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The system's state observation is one of the most important problem in control theory, and it becomes extremely challenging when the system model is not entirely known. For linear systems the problem is solved by using Luenberger observer in a deterministic framework and by Kalman filter in a stochastic framework, while for nonlinear systems, the observation problem is still a research topic. The aim of this thesis is to give a framework, in which the adaptation problem, relative to the model unknowns, can be performed by system identification techniques. In particular, in this thesis we devel
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Boizot, Nicolas. "Adaptative high-gain extended Kalman filter and applications." Phd thesis, Université de Bourgogne, 2010. http://tel.archives-ouvertes.fr/tel-00559107.

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The work concerns the "observability problem"--the reconstruction of a dynamic process's full state from a partially measured state-- for nonlinear dynamic systems. The Extended Kalman Filter (EKF) is a widely-used observer for such nonlinear systems. However it suffers from a lack of theoretical justifications and displays poor performance when the estimated state is far from the real state, e.g. due to large perturbations, a poor initial state estimate, etc. . . We propose a solution to these problems, the Adaptive High-Gain (EKF). Observability theory reveals the existence of special repres
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Ltaief, Ali. "Synthèse d'observateurs pour les systèmes non linéaires, non uniformément observables." Thesis, Normandie, 2017. http://www.theses.fr/2017NORMC211/document.

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Les résultats présentés dans cette thèse s’articulent autour de la synthèse d’observateurs de type grand gain pour des classes de systèmes non linéaires multi-entrées, multi-sorties non uniformément observables. Dans un premier temps, la classe de systèmes considérées est telle que la dynamique des variables d’état est décrite par la somme de deux termes. Le premier correspond à une partie affine en l’état décrite par le produit d’une matrice, dont les entrées (fonctions non linéaires de l’état) ont une structure triangulaire, par le vecteur d’état. Le deuxième terme est composé par les non li
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Sharma, Anshul Kumar. "Contribution à la synthèse d'observateur à gain variable pour les systèmes non linéaires : Application à l'estimation de la résistance au roulement." Thesis, Ecole centrale de Nantes, 2020. http://www.theses.fr/2020ECDN0049.

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Les émissions de CO2 provenant du transport routier représentent une part importante des émissions globales et contribuent au changement climatique en cours. En effet, la consommation de carburant est affectée entre autre par une source importante de perte d'énergie, représentée par la résistance au roulement liée au contact pneumatique/chaussée. Les études montrent que les pertes d'énergie liées à la résistance au roulement représentent environ 20% pour un véhicule léger. Elle est due essentiellement à la déformation répétitive du pneu et dépend fortement des paramètres du pneu tels que la pr
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Srikant, Sukumar. "Persistence filters for controller and observer design in singular gain systems." Thesis, 2011. http://hdl.handle.net/2152/ETD-UT-2011-05-3118.

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This dissertation develops a general framework for designing stabilizing feedback controllers and observers for dynamics with state/time dependent gains on the control signals and measured outputs. These gains have potential singularity periods but satisfy a technically non-trivial condition referred to as persistence of excitation. A persistence filter design constitutes the primary theoretical innovation of this work around which the controller and observer development is centered. Application areas of singular gain systems considered in this study include robotics, biomechanics, intelligent
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Book chapters on the topic "Adaptive gain observers"

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Mazzi, Yahia, Hicham Ben Sassi, Fatima Errahimi, and Najia Es-Sbai. "PIL Implementation of Adaptive Gain Sliding Mode Observer and ANN for SOC Estimation." In Artificial Intelligence and Industrial Applications. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-53970-2_25.

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Li, Yongming, Tieshan Li, and Shaocheng Tong. "Adaptive Dynamic Surface Control of Uncertain Nonlinear Time-Delay Systems Based on High-Gain Filter Observer and Fuzzy Neural Networks." In Advances in Neural Networks – ISNN 2012. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31362-2_46.

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"Chapter 4: Adaptive Control." In High-Gain Observers in Nonlinear Feedback Control. Society for Industrial and Applied Mathematics, 2017. http://dx.doi.org/10.1137/1.9781611974867.ch4.

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Thanh, Pham Tam, Dao Phuong Nam, Tran Xuan Tinh, and Luong Cong Nho. "High-Gain Observer–Based Sliding Mode Control of Multimotor Drive Systems." In Adaptive Robust Control Systems. InTech, 2018. http://dx.doi.org/10.5772/intechopen.71656.

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Awasthi, Peeyush, Ashwin Yadav, Naren Naik, and Mudambi Ramaswamy Ananthasayanam. "A Constant Gain Kalman Filter for Wireless Sensor Network and Maneuvering Target Tracking." In Adaptive Filtering - Recent Advances and Practical Implementation [Working Title]. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.98700.

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One of the well-known approaches to target tracking is the Kalman filter. The problem of applying the Kalman Filter in practice is that in the presence of unknown noise statistics, accurate results cannot be obtained. Hence the tuning of the noise covariances is of paramount importance in order to employ the filter. The difficulty involved with the tuning attracts the applicability of the concept of Constant Gain Kalman Filter (CGKF). It has been generally observed that after an initial transient the Kalman Filter gain and the State Error Covariance P settles down to steady state values. This encourages one to consider working directly with steady state or constant Kalman gain, rather than with error covariances in order to obtain efficient tracking. Since there are no covariances in CGKF, only the state equations need to be propagated and updated at a measurement, thus enormously reducing the computational load. The current work first applies the CGKF concept to heterogeneous sensor based wireless sensor network (WSN) target tracking problem. The paper considers the Standard EKF and CGKF for tracking various manoeuvring targets using nonlinear state and measurement models. Based on the numerical studies it is clearly seen that the CGKF out performs the Standard EKF. To the best of our knowledge, such a comprehensive study of the CGKF has not been carried out in its application to diverse target tracking scenarios and data fusion aspects.
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Al-Hmoudi, Mutieb I., and Rashid Saeed. "Interference Mitigation in Femtocell using Optimized Power Control." In Advances in Wireless Technologies and Telecommunication. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-4666-0092-8.ch005.

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The femtocell network is a new technology that uses the advantage of an Internet backbone to enhance the cellular coverage in residential or small business areas. However, due to the expected random deployment of the Femtocell Access Point (FAP), there is a strong probability of interference among the femtocell nodes and between the femtocells and the macrocell nodes. In this chapter, an interference enhancement for OFDMA systems is developed and designed for two tiered macro-femtocell networks. An adaptive power control is calculated based on selecting the minimum interference channel with the optimized channel gain. In the simulation a number of the FAPs, the distance between the macrocell and the femtocell, and the path loss between the macrocell node and the FAPs are used as design parameters. By using optimized power control performance enhancement the interference degradation ratio can be observed.
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Mashaqi, Saif, and Reena Mehra. "To Treat or Not to Treat." In Sleep Disorders. Oxford University Press, 2019. http://dx.doi.org/10.1093/med/9780190671099.003.0016.

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The focus of this chapter is central sleep apnea with Cheyne-Stokes breathing (CSA-CSB), a hypocapnic central sleep apnea commonly observed in patients with congestive heart failure (HF). The pathophysiologic aspects of CSA-CSB are discussed, including ventilatory responsiveness and concepts of loop gain, apneic threshold, and narrowing of the carbon dioxide delta gap serving as a predisposing factor. Complexities of the clinical approach are reviewed in terms of clinically contextualizing the findings from a large randomized controlled trial demonstrating increased cardiovascular-specific mortality in patients randomized to adaptive servo ventilation versus controls in those with central-predominant sleep apnea and reduced ejection fraction HF. Potential mechanistic explanations for these findings are reviewed and placed into context with available post hoc analyses from this trial. Treatment options are discussed, including the role of other positive airway pressure (PAP) modalities, supplemental oxygen, relevant medications, and innovative non-PAP therapies such as transvenous phrenic nerve stimulation.
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Conference papers on the topic "Adaptive gain observers"

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Sahoo, Avimanyu, Vignesh Narayanan, and Qiming Zhao. "Adaptive Gain Observers for Distributed State Estimation of Linear Systems." In 2021 American Control Conference (ACC). IEEE, 2021. http://dx.doi.org/10.23919/acc50511.2021.9483349.

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Methnani, Salowa, Tarak Damak, Ahmed Toumi, Frederic Lafont, and Jean-Paul Gauthier. "Adaptive-high-gain observers with an application to Wastewater Treatment plants." In 2011 International Conference on Communications, Computing and Control Applications (CCCA). IEEE, 2011. http://dx.doi.org/10.1109/ccca.2011.6031423.

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Bouraoui, I., M. Farza, T. Menard, R. Ben Abdennour, and M. M'Saad. "Adaptive high gain observers for a class of MIMO nonlinear systems." In 2015 16th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA). IEEE, 2015. http://dx.doi.org/10.1109/sta.2015.7505188.

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SHARMA, Anshul Kumar, Mohamed BOUTELDJA, and Veronique CEREZO. "High gain and sliding mode adaptive observers comparison: estimation of tire rolling resistance." In 2018 6th International Conference on Control Engineering & Information Technology (CEIT). IEEE, 2018. http://dx.doi.org/10.1109/ceit.2018.8751889.

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Liu, Haitao, Jian Sun, Jianhao Nie, Guangjun Chen, and Lanping Zou. "Adaptive non-singular terminal sliding mode control with high-gain observers for robotic manipulators." In 2019 Chinese Control And Decision Conference (CCDC). IEEE, 2019. http://dx.doi.org/10.1109/ccdc.2019.8832608.

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Anwar, Junaid, Fahad Mumtaz Malik, Muhammad Abdullah, and Asad Abbas. "High gain and super-twisting sliding mode observers for the adaptive control of quadrotor UAV." In 2016 13th International Bhurban Conference on Applied Sciences and Technology (IBCAST). IEEE, 2016. http://dx.doi.org/10.1109/ibcast.2016.7429869.

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Bakhshande, Fateme, and Dirk Söffker. "Proportional-Integral-Observer With Adaptive High-Gain Design Using Funnel Adjustment Concept." In ASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/detc2017-67428.

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This paper focuses on a novel gain design approach of Proportional-Integral-Observer (known as PI-Observer) for unknown input estimation such as disturbances. Whereas estimation of the fast dynamical behavior requires large observer gains, the effect of measurement noise is not negligible. To adjust the PIO gain adaptively, in this contribution the idea of funnel control is taken into consideration. The advantage of the proposed approach compared to previously published PIO gain design is the self adjustment of the observer gains according to the actual estimation situation. To improve the con
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Guay, M. "Adaptive gain nonlinear observer design techniques." In 2017 6th International Symposium on Advanced Control of Industrial Processes (AdCONIP). IEEE, 2017. http://dx.doi.org/10.1109/adconip.2017.7983770.

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Stitou, Mohamed, Abderrahim El Fadili, Fatima Zahra Chaoui, and Fouad Giri. "Adaptive High Gain Observer for Photovoltaic Systems." In 2019 4th World Conference on Complex Systems (WCCS). IEEE, 2019. http://dx.doi.org/10.1109/icocs.2019.8930772.

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Nian, Xiaohong, Jian Wang, Weihua Gui, Jirong Huang, and Zhiwu Huang. "A Constant Gain Adaptive Observer for Speed and Resistances Identification." In Conference Record of the 2006 IEEE Industry Applications Conference Forty-First IAS Annual Meeting. IEEE, 2006. http://dx.doi.org/10.1109/ias.2006.256605.

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