Relevant bibliographies by topics / Adaptive sliding mode tracking control

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
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Academic literature on the topic 'Adaptive sliding mode tracking control'

Author: Grafiati
Published: 19 February 2023

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Journal articles on the topic "Adaptive sliding mode tracking control"

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Espinoza-Fraire, Tadeo, Armando Saenz, Francisco Salas, Raymundo Juarez, and Wojciech Giernacki. "Trajectory Tracking with Adaptive Robust Control for Quadrotor." Applied Sciences 11, no. 18 (September 15, 2021): 8571. http://dx.doi.org/10.3390/app11188571.

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This work proposes three robust mechanisms based on the MIT rule and the sliding-mode techniques. These robust mechanisms have to tune the gains of an adaptive Proportional-Derivative controller to steer a quadrotor in a predefined trajectory. The adaptive structure is a model reference adaptive control (MRAC). The robust mechanisms proposed to achieve the control objective (trajectory tracking) are MIT rule, MIT rule with sliding mode (MIT-SM), MIT rule with twisting (MIT-Twisting), and MIT rule with high order sliding mode (MIT-HOSM).
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Fei, J., and C. Batur. "A class of adaptive sliding mode controller with proportional-integral sliding surface." Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 223, no. 7 (July 6, 2009): 989–99. http://dx.doi.org/10.1243/09596518jsce712.

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This paper presents an adaptive sliding mode tracking controller with a proportional and integral switching surface. A novel adaptive sliding mode controller based on model reference adaptive state feedback control is proposed to deal with the tracking problem for a class of dynamic systems. First, a proportional and integral sliding surface instead of a conventional sliding surface is chosen and then a class of adaptive sliding mode controller with integral sliding term is developed. It is shown that the stability of the closed-loop system can be guaranteed with the proposed adaptive sliding mode control strategy. The numerical simulation of a triaxial gyroscope is investigated to show the effectiveness of the proposed adaptive sliding mode control scheme with proportional plus integral sliding mode action.
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Wei, Yangchun, Haoping Wang, and Yang Tian. "Adaptive sliding mode observer–based integral sliding mode model-free torque control for elastomer series elastic actuator–based manipulator." Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 236, no. 5 (December 28, 2021): 1010–28. http://dx.doi.org/10.1177/09596518211064757.

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In this brief, an adaptive nonsingular terminal sliding mode observer–based adaptive integral terminal sliding mode model-free control is proposed for the trajectory tracking control of the output torque of elastomer series elastic actuator–based manipulator. Considering the tip load and its external disturbance, an elastomer series elastic actuator–based manipulator model is established. In order to realize the output torque tracking control of elastomer series elastic actuator–based manipulator, by using the characteristics of elastomer series elastic actuator, the output torque control is transformed into position control. Based on the idea of model-free control, an ultra-local model is applied to approximate the dynamic of the manipulator, and all the model information is considered as an unknown lumped disturbance. The adaptive nonsingular terminal sliding mode observer is designed to estimate the lumped disturbance, and the absolute value of the tracking error is introduced into the sliding surface to make the selection of parameters more flexible. Then, on the basis of adaptive nonsingular terminal sliding mode observer, the adaptive integral terminal sliding mode model-free control is proposed under model-free control framework. The design and analysis of both observer and controller do not rely on accurate model information. Finally, the performance of the proposed method is verified by simulation results.
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Cho, Moon Gyeang, Useok Jung, Jun-Young An, Yoo-Seung Choi, and Chang-Joo Kim. "Adaptive Trajectory Tracking Control for Rotorcraft Using Incremental Backstepping Sliding Mode Control Strategy." International Journal of Aerospace Engineering 2021 (July 14, 2021): 1–15. http://dx.doi.org/10.1155/2021/4945642.

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This paper investigates the adaptive incremental backstepping sliding mode control for the rotorcraft trajectory-tracking control problem to enhance the robustness to the matched uncertainty in the model. First, the incremental dynamics is used for the control design to exclude the adverse effect of the mismatched model uncertainties on the trajectory-tracking performance. Secondly, the sliding-mode control strategy is adopted in the second design stage of the backstepping controller, and the effect of switching gains on the controller robustness is thoroughly studied using the rotorcraft model with different levels of the matched uncertainties. To clarify the robustness enhancement using the adaptive selection of switching gains, this paper chooses three different control structures consisting of the traditional backstepping control and two backstepping sliding mode controls with the fixed or adaptively adjusted switching gains. These control designs are applied to the trajectory-tracking control for the helical-turn maneuver of the Bo-105 helicopter to compare their relative robustness to the matched uncertainties. The results prove that adaptive incremental backstepping sliding mode control shows much higher robustness than other two designs, and the controller even with the fixed switching gains can be used to improve the robustness of the pure backstepping control design. Therefore, the present adaptive incremental backstepping sliding mode control is effectively applicable with the rotorcraft model which typically contains many different sources of both matched and mismatched uncertainties.
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Yan, Gangfeng. "Design of adaptive sliding mode controller applied to ultrasonic motor." Assembly Automation 42, no. 1 (November 23, 2021): 147–54. http://dx.doi.org/10.1108/aa-04-2021-0048.

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Purpose The purpose of this paper is to achieve high-precision sliding mode control without chattering; the control parameters are easy to adjust, and the entire controller is easy to use in engineering practice. Design/methodology/approach Using double sliding mode surfaces, the gain of the control signal can be adjusted adaptively according to the error signal. A kind of sliding mode controller without chattering is designed and applied to the control of ultrasonic motors. Findings The results show that for a position signal with a tracking amplitude of 35 mm, the traditional sliding mode control method has a maximum tracking error of 0.3326 mm under the premise of small chattering; the boundary layer sliding mode control method has a maximum tracking error of 0.3927 mm without chattering, and the maximum tracking error of continuous switching adaptive sliding mode control is 0.1589 mm, and there is no chattering. Under the same control parameters, after adding a load of 0.5 kg, the maximum tracking errors of the traditional sliding mode control method, the boundary layer sliding mode control method and the continuous switching adaptive sliding mode control are 0.4292 mm, 0.5111 mm and 0.1848 mm, respectively. Originality/value The proposed method not only switches continuously, but also the amplitude of the switching signal is adaptive, while maintaining the robustness of the conventional sliding mode control method, which has strong engineering application value.
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Fei, Juntao, Shenglei Zhang, and Jian Zhou. "Adaptive Sliding Mode Control of Single-Phase Shunt Active Power Filter." Mathematical Problems in Engineering 2012 (2012): 1–22. http://dx.doi.org/10.1155/2012/809187.

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This paper presents a thorough study of the adaptive sliding mode technique with application to single-phase shunt active power filter (APF). Based on the basic principle of single-phase shunt APF, the approximate dynamic model is derived. A model reference adaptive sliding mode control algorithm is proposed to implement the harmonic compensation for the single-phase shunt APF. This method will use the tracking error of harmonic and APF current as the control input and adopt the tracking error of reference model and APF output as the control objects of adaptive sliding mode. In the reference current track loop, a novel adaptive sliding mode controller is implemented to tracking the reference currents, thus improving harmonic treating performance. Simulation results demonstrate the satisfactory control performance and rapid compensation ability of the proposed control approach under different conditions of the nonlinear load current distortion and the mutation load, respectively.
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Yan, Weifeng, and Juntao Fei. "Adaptive Control of MEMS Gyroscope Based on Global Terminal Sliding Mode Controller." Mathematical Problems in Engineering 2013 (2013): 1–9. http://dx.doi.org/10.1155/2013/797626.

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An adaptive global fast terminal sliding mode control (GFTSM) is proposed for tracking control of Micro-Electro-Mechanical Systems (MEMS) vibratory gyroscopes under unknown model uncertainties and external disturbances. To improve the convergence rate of reaching the sliding surface, a global fast terminal sliding surface is employed which can integrate the advantages of traditional sliding mode control and terminal sliding mode control. It can be guaranteed that sliding surface and equilibrium point can be reached in a shorter finite time from any initial state. In the presence of unknown upper bound of system nonlinearities, an adaptive global fast terminal sliding mode controller is derived to estimate this unknown upper bound. Simulation results demonstrate that the tracking error can be attenuated efficiently and robustness of the control system can be improved with the proposed adaptive global fast terminal sliding mode control.
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QI, Zhaohui, Jin ZHANG, Yuanzhuo WANG, Jia WANG, Mengrong XU, and Cheng ZHANG. "Trajectory tracking control method based on adaptive super-twisting sliding mode." Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University 40, no. 5 (October 2022): 1109–15. http://dx.doi.org/10.1051/jnwpu/20224051109.

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Aiming at the problem of trajectory tracking control in the process of missile network formation flying, based on the optimal nominal trajectory obtained by solving the two-point boundary value problem, combined with the anti-jamming characteristics of the sliding mode controller, a trajectory tracking control method based on the adaptive super-twisting sliding mode is proposed. First, on the basis of the terminal guidance section model, the two-point boundary value problem is solved through the idea of nonlinear programming to obtain the optimal nominal trajectory; Secondly, the tracking controller based on state deviation is designed in combination with the adaptive super-twisting sliding mode algorithm; Finally, the LQR trajectory tracking control method is introduced as a comparison method, and the effectiveness and feasibility of the sliding mode trajectory tracking method in the presence of initial state errors are verified by simulations, and the Monte Carlo simulation shows that the proposed method has good trajectory tracking control effect in the presence of different initial state errors.
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KOJIMA, Hirohisa, and Takuyuki MUKAI. "Attitude Tracking Maneuver Using Adaptive Sliding Mode Control." Transactions of the Japan Society of Mechanical Engineers Series C 68, no. 668 (2002): 1113–18. http://dx.doi.org/10.1299/kikaic.68.1113.

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Xiao, Hongliang, Huacong Li, Jia Li, Jiangfeng Fu, and Kai Peng. "Research on Variable Cycle Engine Control Based on Model Reference Adaptive Sliding Mode Control Method." Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University 36, no. 5 (October 2018): 824–30. http://dx.doi.org/10.1051/jnwpu/20183650824.

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As to solve the problem of multivariable output tracking control of variable cycle engine under system uncertainties and external disturbances, an augmented model reference adaptive sliding mode control method based on LQR method was developed. Firstly, the model is augmented and the reference state is provided to the controller by designing the reference model using the optimal LQR method. Then, based on the state tracking sliding mode control method, the adaptive law is derived based on the strict stability condition of Lyapunov function to estimate the upper bound of the system perturbation matrix and the upper bound of the external disturbances. Finally, the controller achieves the asymptotic zero tracking error of the system under the conditions of uncertainty and external disturbance. The simulation results showed that the LQR-based augmented model reference adaptive sliding mode control method can solve the problem that the traditional sliding mode control method needs to specify the reference state in advance and improve the control performance of the variable cycle engine control with system uncertainties and external disturbance. The tracking of the control command is effectively achieved and the steady-state and dynamic performance are improved. The steady-state control errors under different conditions are less than 0.1%, the system overshoot is less than 0.5%, and the adjustment time is less than 1s, which conformed to the requirements of the aero engine control system technology.
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Dissertations / Theses on the topic "Adaptive sliding mode tracking control"

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Liu, Xinyi. "Contribution to adaptative sliding mode, fault tolerant control and control allocation of wind turbine system." Thesis, Belfort-Montbéliard, 2016. http://www.theses.fr/2016BELF0295/document.

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Les principaux défis pour le déploiement de systèmes de conversion de l'énergie éolienne est de maximiser la puissance électrique produite, malgré les variations des conditions météorologiques, tout en minimisant les coûts de fabrication et de maintenance du système. L'efficacité de la turbine éolienne est fortement dépendante des perturbations de l'environnement et des paramètres variables du système, tels que la vitesse du vent et l'angle de tangage. Les incertitudes sur le système sont difficiles à modéliser avec précision alors qu'ils affectent sa stabilité.Afin d'assurer un état de fonctionnement optimal, malgré les perturbations, le commande adaptative peut jouer un rôle déterminant. D'autre part, la synthèse de commandes tolérantes aux défauts, capables de maintenir les éoliennes connectées au réseau après la survenance de certains défauts est indispensable pour le bon fonctionnement du réseau. Le travail de cette thèse porte sur la mise en place de lois de commande adaptatives et tolérantes aux défauts appliqués aux systèmes de conversion de l'énergie éolienne. Après un état de l'art, les contributions de la thèse sont :Dans la première partie de la thèse, un modèle incertain non linéaire du système de conversion d'énergie éolienne avec un générateur à induction à double alimentation est proposé. Une nouvelles approches de commande adaptative par mode glissant est synthétisée et ensuite appliquée pour optimiser l'énergie issue de l'éolienne.Dans la deuxième partie, une nouvelle commande par modes glissants tolérante aux défauts et basée sur les modes glissants intégrales est présentée. Puis, cette méthode est appliquée afin de forcer la vitesse de la turbine éolienne à sa valeur optimale en prenant en compte des défauts qui surviennent sur l'actionneur
The main challenges for the deployment of wind energy conversion systems (WECS) are to maximize the amount of good quality electrical power extracted from wind energy over a significantly wide range of weather conditions and minimize both manufacturing and maintenance costs. Wind turbine's efficiency is highly dependent on environmental disturbances and varying parameters for operating conditions, such as wind speed, pitch angle, tip-speed ratio, sensitive resistor and inductance. Uncertainties on the system are hard to model exactly while it affects the stability of the system. In order to ensure an optimal operating condition, with unknown perturbations, adaptive control can play an important role. On the other hand, a Fault Tolerant Control (FTC) with control allocation that is able to maintain the WECS connected after the occurrence of certain faults can avoid major economic losses. The thesis work concerns the establishment of an adaptive control and fault diagnosis and tolerant control of WECS. After a literature review, the contributions of the thesis are:In the first part of the thesis, a nonlinear uncertain model of the wind energy conversion system with a doubly fed induction generator (DFIG) is proposed. A novel Lyapunov-based adaptive Sliding Mode (HOSM) controller is designed to optimize the generated power.In the second part, a new output integral sliding mode methodology for fault tolerant control with control allocation of linear time varying systems is presented. Then, this methodology has been applied in order to force the wind turbine speed to its optimal value the presence of faults in the actuator
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Harmouche, Mohamed. "Contribution à la théorie de la commande par modes glissants d'ordre supérieur et à la commande des systèmes mécaniques sous-actionnés." Thesis, Belfort-Montbéliard, 2013. http://www.theses.fr/2013BELF0214/document.

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Les systèmes non linéaires sont si diverses que des outils communs de contrôle sont difficiles à développer. La théorie du contrôle non linéaire nécessite une analyse mathématique rigoureuse pour motiver ses conclusions. Cette thèse aborde deux branches distinctes et bien importantes de la théorie du contrôle non linéaire: le contrôle des systèmes non-linéaires incertains et le contrôle des systèmes sous-actionnés.Dans la première partie, une classe de contrôleurs par mode glissant d’ordre supérieur (MGOS) robuste, basée sur la synthèse de Lyapunov, est développée pour le contrôle des systèmes non-linéaires incertains. Cette classe de contrôleurs est basée sur une classe de régulateurs qui stabilisent une pure chaîne d’intégrateurs en temps fini, et nécessite la connaissance a priori des bornes sur les incertitudes du système. Puis, afin d’éliminer la dépendance liée à la connaissance de ces bornes, un contrôleur par MGOS adaptatif est développé. Dans un deuxième temps, un contrôleur par MGOS homogène universel est développé où il est montré que le degré d’homogénéité peut être manipulé pour obtenir des avantages supplémentaires, tels que la bornitude de la commande, la garantie d’une amplitude minimale de la discontinuité de la commande et la convergence en temps fixe. Les performances des contrôleurs proposés ont été démontrées par des simulations et à travers des résultats expérimentaux sur un système pile à combustible.Dans la deuxième partie de la thèse, deux problèmes de commande de systèmes sous-actionnés sont étudiés. Le premier problème concerne le suivi de chemin global d’un robot mobile avec un point de visée. Le deuxième problème concerne la poursuite de trajectoire globale d’un bateau. Ces deux problèmes sont de nature distincte, cependant, ils sont soumis à des contraintes physiques similaires liées à la bornitude de la commande. Ainsi, les contrôleurs proposés sont basés sur l’utilisation de commandes saturées. Des simulations ont été effectuées pour démontrer les performances de ces contrôleurs
Nonlinear systems are so diverse that generalized tools for control are difficult to develop. Nonlinear control theory requires rigorous mathematical analysis to justify its conclusions. This thesis addresses two distinct, yet important branches of nonlinear control theory: control of uncertain nonlinear systems and control of under-actuated systems.In the first part, a class of Lyapunov-based robust arbitrary higher order sliding mode (HOSM) controllers is developed for the control of uncertain nonlinear systems. This class of controllers is based on a class of controllers for finite-time stabilization of pure integrator chain, and requires the limits of the system uncertainty to be known a-priori. Then, in order to eliminate the dependence on the knowledge of these limits, an adaptive arbitrary HOSM controller is developed. Using this new class, a universal homogeneous arbitrary HOSM controller is developed and it is shown that the homogeneity degree can be manipulated to obtain additional advantages in the proposed controllers, such as bounded control, minimum amplitude of discontinuous control and fixed time convergence. The performance of the controllers has been demonstrated through simulations and experiments on a fuel cell system.In the next part, the control of two under-actuated systems is studied. The first control problem is the global path following of car-type robotic vehicle, using target-point. The second problem is the precise tracking of surface marine vessels. Both these problems are distinct in nature; however, they are subjected to similar physical constraints. The solutions proposed for these control problems use saturated controls, taking into account the physical bounds on the control inputs. Simulations have been performed to demonstrate the performance of these controllers
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Ebel, Kathryn C. "Adaptive Sliding Mode Control for Aircraft Engines." Cleveland State University / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=csu1323882562.

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Migchelbrink, Matthew. "Sliding mode control trajectory tracking implementation on underactuated dynamic systems." Thesis, Kansas State University, 2014. http://hdl.handle.net/2097/18245.

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Master of Science
Department of Mechanical Engineering
Warren N. White
The subject of linear control is a mature subject that has many proven powerful techniques. Recent research generally falls into the area of non-linear control. A subsection of non-linear control that has garnered a lot of research recently has been in underactuated dynamic systems. Many applications of the subject exist in robotics, aerospace, marine, constrained systems, walking systems, and non-holonomic systems. This thesis proposes a sliding mode control law for the tracking control of an underactuated dynamic system. A candidate Lyapunov function is used to build the desired tracking control. The proposed control method does not require the integration of feedback as does its predecessor. The proposed control can work on a variety of underactuated systems. Its predecessor only worked on those dynamic systems that are simply underactuated (torques acting on some joints, no torques acting on others). For dynamic systems that contain a roll without slip constraint, often a desired trajectory to follow is related to dynamic coordinates through a non-holonomic constraint. A navigational control is shown to work in conjunction with the sliding mode control to allow tracking of these desired trajectories. The methodology is applied through simulations to a holonomic case of the Segbot, an inverted cart-pole, a non-holonomic case of Segbot, and a rolling wheel. The methodology is implemented on an actual Segbot and shown to provide more favorable tracking results than linear feedback gains.
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Rios-Bolivar, Miguel. "Adaptive backstepping and sliding mode control of uncertain nonlinear systems." Thesis, University of Sheffield, 1997. http://etheses.whiterose.ac.uk/5995/.

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The development of adaptive control design techniques for nonlinear systems with parametric uncertainty has been intensively studied in recent years. The recently developed adaptive backstepping technique has provided a systematic solution to the problem of designing static adaptive controllers for uncertain nonlinear systems transformable into the triangular Parametric Strict Feedback and Parametric Pure Feedback forms. The adaptive backstepping technique has been adopted in this thesis as the control design approach and a number of new algorithms have been developed for the design of dynamical controllers for the regulation and tracking of deterministic and adaptive control systems. The combination of adaptive backstepping and Sliding Mode Control has also been proposed to design robust adaptive strategies for uncertain systems with disturbances. The class of adaptive backstepping nonlinear systems has been broadened to observable minimum phase systems which are not necessarily transformable into tri- angular forms. The design of output feedback control, when only the output is measured, has also been studied for a class of uncertain systems transformable into the adaptive generalized observer canonical form. Since the equations arising from these new algorithms are too complicated to be computed by hand, a symbolic algebraic toolbox has been developed. This toolbox implements the proposed algorithms for the design of static (dynamic) deterministic (adaptive) controllers, and automatically generates MATLAB code programs for computer simulation.
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Yu, Hai. "The adaptive seeking control strategy and applications in automotive control technology." Columbus, Ohio : Ohio State University, 2006. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1149091437.

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Fei, Juntao. "ADAPTIVE SLIDING MODE CONTROL WITH APPLICATION TO A MEMS VIBRATORY GYROSCOPE." University of Akron / OhioLINK, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=akron1194886083.

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Elhangari, Abdelbaset K. Tahir. "Sliding-Mode Control of the Permanent Magnet Synchronous Motor (PMSM)." University of Dayton / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1386173503.

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Durmaz, Burak. "Sliding Mode Control Of Linearly Actuated Nonlinear Systems." Master's thesis, METU, 2009. http://etd.lib.metu.edu.tr/upload/12610666/index.pdf.

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This study covers the sliding mode control design for a class of nonlinear systems, where the control input affects the state of the system linearly as described by (d/dt)x=A(x)x+B(x)u+d(x). The main streamline of the study is the sliding surface design for the system. Since there is no systematic way of designing sliding surfaces for nonlinear systems, a moving sliding surface is designed such that its parameters are determined in an adaptive manner to cope with the nonlinearities of the system. This adaptive manner includes only the automatic adaptation of the sliding surface by determining its parameters by means of solving the State Dependent Riccati Equations (SDRE) online during the control process. The two methods developed in this study: SDRE combined sliding control and the pure SDRE with bias terms are applied to a longitudinal model of a generic hypersonic air vehicle to compare the results.
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Wang, Nengmou. "Modified Sliding Mode Control Algorithm for Vibration Control of Linear and Nonlinear Civil Structures." The Ohio State University, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=osu1306705560.

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Books on the topic "Adaptive sliding mode tracking control"

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Li, Meng, Yong Chen, and Ikram Ali. Tracking Control of Networked Systems via Sliding-Mode. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-6514-1.

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Tracking Control of Networked Systems Via Sliding-Mode. Springer, 2022.

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Ali, Ikram, Yong Chen, and Meng Li. Tracking Control of Networked Systems Via Sliding-Mode. Springer Singapore Pte. Limited, 2021.

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PhD, Yang Li, Jianhua Zhang PhD, and Wu Qiong MA. Adaptive Sliding Mode Neural Network Control for Nonlinear Systems. Academic Press, 2018.

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Adaptive Sliding Mode Neural Network Control for Nonlinear Systems. Elsevier, 2019. http://dx.doi.org/10.1016/c2017-0-02242-5.

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Qiong, Wu, Jianhua Zhang, and Yang Li. Adaptive Sliding Mode Neural Network Control for Nonlinear Systems. Elsevier Science & Technology Books, 2018.

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Book chapters on the topic "Adaptive sliding mode tracking control"

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Li, Meng, Yong Chen, and Ikram Ali. "Adaptive Sliding-Mode Tracking Control for Networked Systems with Network-Induced Disturbance." In Tracking Control of Networked Systems via Sliding-Mode, 29–54. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-6514-1_2.

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Mukherjee, Joyjit, Indra Narayan Kar, and Sudipto Mukherjee. "Adaptive Sliding-Mode Control for Velocity and Head-Angle Tracking." In Adaptive Robust Control for Planar Snake Robots, 27–53. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-71460-4_2.

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Zhang, Yan-xin, and Hai-rong Dong. "Fuzzy-Neural Network Adaptive Sliding Mode Tracking Control for Interconnected System." In Lecture Notes in Computer Science, 127–33. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/978-3-540-37275-2_16.

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Xiu, Yang, Jinxiang Xu, and Wei Wang. "Adaptive Tracking Control of Manipulators Based on Backstepping Sliding Mode Method." In Proceedings of 2021 International Conference on Autonomous Unmanned Systems (ICAUS 2021), 22–29. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-9492-9_3.

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Wang, Lijun, Wencong Deng, Jinkun Liu, and Rong Mei. "Adaptive Sliding Mode Trajectory Tracking Control of Quadrotor UAV with Unknown Control Direction." In Proceedings of the 11th International Conference on Modelling, Identification and Control (ICMIC2019), 597–607. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-15-0474-7_56.

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Mehrjerdi, Hasan, Youmin Zhang, and Maarouf Saad. "Adaptive Exponential Sliding Mode Control for Dynamic Tracking of a Nonholonomic Mobile Robot." In Intelligent Robotics and Applications, 643–52. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33509-9_64.

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Alakshendra, Veer, Shital S. Chiddarwar, and Abhishek Jha. "Trajectory Tracking Control of Three-Wheeled Omnidirectional Mobile Robot: Adaptive Sliding Mode Approach." In Lecture Notes in Mechanical Engineering, 275–86. New Delhi: Springer India, 2016. http://dx.doi.org/10.1007/978-81-322-2740-3_27.

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Wang, Ning, Qi Deng, and Yongpeng Weng. "Nonlinear Disturbance Observer Based Adaptive Integral Sliding Mode Tracking Control of a Quadrotor." In Advances in Neural Networks – ISNN 2018, 719–26. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-92537-0_82.

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Van Nguyen, Tan, Cheolkeun Ha, Huy Q. Tran, Dinh Hai Lam, and Nguyen Thi Hoa Cuc. "A Robust Position Tracking Strategy for Robot Manipulators Using Adaptive Second Order Sliding Mode Algorithm and Nonsingular Sliding Mode Control." In Intelligent Computing Methodologies, 544–54. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-13832-4_45.

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Al Saidi, R., and B. Minaker. "An Adaptive Sliding Mode Control for Trajectory Tracking of a Self-reconfigurable Robotic System." In Robot Intelligence Technology and Applications 2, 381–91. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-05582-4_33.

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Conference papers on the topic "Adaptive sliding mode tracking control"

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Fei, J., and C. Batur. "Adaptive Vibration Control of Flexible Structure With Sliding Mode Compensator." In ASME 2005 International Mechanical Engineering Congress and Exposition. ASMEDC, 2005. http://dx.doi.org/10.1115/imece2005-79987.

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This paper presents the adaptive control scheme with sliding mode compensator for vibration control problem in the presence of disturbance. The dynamic model of the flexible cantilever beam using finite element modeling is derived. The adaptive control with sliding mode compensator using output feedback for output tracking is developed to reject the disturbance, and to improve the tracking performance. Satisfactory simulation results verify that the effectiveness of adaptive control scheme with sliding mode compensator.
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Wang, Yizhou, Xu Chen, and Masayoshi Tomizuka. "Adaptive Sliding Mode Spacecraft Attitude Control." In ASME 2014 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/dscc2014-5979.

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An adaptive sliding mode spacecraft attitude controller is derived in this paper. It has the advantage of not requiring knowledge of the inertia of the spacecraft, and rejecting unexpected external disturbances, with global asymptotic position and velocity tracking. The sliding manifold is designed using optimal control analysis of the quaternion kinematics. The sliding mode control law and the parameter adaptation law are designed using Lyapunov stability. Numerical simulations are performed to demonstrate both the nominal and the robust performance.
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Sheikh Sofla, Mohammad, Seyed Mehdi Rezaei, and Mohammad Zareinejad. "Adaptive Integral Base Sliding Mode Tracking Control of Piezoelectric Actuators." In ASME 2009 International Mechanical Engineering Congress and Exposition. ASMEDC, 2009. http://dx.doi.org/10.1115/imece2009-12550.

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This paper presents an adaptive integral sliding mode control scheme for precise trajectory tracking of piezoelectric actuators (PEAs). This control methodology is proposed considering the problems of unknown or uncertain system parameters, hysteresis nonlinearity, and external load disturbances. The hysteretic behavior is represented by Bouc–Wen hysteresis model. It is shown that the nonlinear response of the model due to the hysteresis effect, acts as a bounded disturbance. Then base on this fact an adaptive robust controller is proposed, where an integral sliding surface is utilized to achieve the desired tracking performance. By using the proposed control approach the asymptotical stability in displacement tracking and robustness to the dynamic load disturbance can be provided. Finally, Experimental results are illustrated to verify the efficiency of the proposed method for tracking in various range of frequency and load which are common in practical applications.
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Fei, J., and Celel Batur. "Adaptive Sliding Mode Controller With Proportional Plus Integral Sliding Surface." In ASME 2006 International Mechanical Engineering Congress and Exposition. ASMEDC, 2006. http://dx.doi.org/10.1115/imece2006-13274.

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This paper presents an adaptive tracking controller with a proportional and integral switching surface. A new adaptive sliding mode controller based on model reference adaptive state feedback control is proposed to deal with the tracking problem for a class of linear dynamic systems. First, a proportional and integral sliding surface instead of a conventional sliding surface is chosen and then an adaptive sliding mode controller is derived and its stability is proved. It is shown that the stability of the closed-loop system can be guaranteed with the proposed adaptive sliding mode control strategy. The adaptive design is extended to the multiple inputs system. The numerical simulation is investigated to show the effectiveness of the proposed adaptive sliding mode control scheme with proportional plus integral sliding mode action.
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Geng, Yuanzhuo, Chuanjiang Li, Yanchao Sun, and Jingjing Ma. "Adaptive Sliding Mode Attitude Tracking Control for Flexible Spacecraft." In 2016 Sixth International Conference on Instrumentation & Measurement, Computer, Communication and Control (IMCCC). IEEE, 2016. http://dx.doi.org/10.1109/imccc.2016.69.

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Fazeli, Amir, Meysar Zeinali, Amir Khajepour, and Mohammad Pournazeri. "Air Hybrid Engine Torque Control Using Adaptive Sliding Mode Control." In ASME 2010 International Mechanical Engineering Congress and Exposition. ASMEDC, 2010. http://dx.doi.org/10.1115/imece2010-38762.

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In this work, a new air hybrid engine configuration is introduced in which two throttles are used to manage the engine load in three modes of operation i.e. braking, air motor, and conventional mode. A Mean Value Model (MVM) of the engine is developed at braking mode and a new Adaptive Sliding Mode Controller (ASMC), recently proposed in the literature, is applied to control the engine torque at this mode. The results show that the controller performs remarkably well in terms of the robustness, tracking error convergence and disturbance attenuation. Chattering effect is also removed by utilizing the ASMC scheme.
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Chen, Bingwu. "Adaptive backstepping sliding mode tracking control for the stratospheric airship." In 2017 12th International Conference on Computer Science and Education (ICCSE). IEEE, 2017. http://dx.doi.org/10.1109/iccse.2017.8085489.

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Panteley. "Adaptive sliding mode control of manipulator tracking an unknown surface." In Proceedings of IEEE International Conference on Control and Applications CCA-94. IEEE, 1994. http://dx.doi.org/10.1109/cca.1994.381419.

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Bouadi, Hakim, H. Wu, and F. Mora-Camino. "Flight path tracking based-on direct adaptive sliding mode control." In 2011 IEEE Intelligent Vehicles Symposium (IV). IEEE, 2011. http://dx.doi.org/10.1109/ivs.2011.5940395.

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Yu-Xiang Wu, Ying Feng, and Yue-Ming Hu. "Dynamical adaptive sliding mode output tracking control of mobile manipulators." In Proceedings of 2005 International Conference on Machine Learning and Cybernetics. IEEE, 2005. http://dx.doi.org/10.1109/icmlc.2005.1527040.

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Reports on the topic "Adaptive sliding mode tracking control"

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Verghese, George C., Benito Fernandez, and J. K. Hedrick. Stable, Robust Tracking by Sliding Mode Control,. Fort Belvoir, VA: Defense Technical Information Center, May 1987. http://dx.doi.org/10.21236/ada188278.

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