Bibliographies thématiques / Input-output feedback linearization

Littérature scientifique sur le sujet « Input-output feedback linearization »

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Publié le 8 juin 2024

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Articles de revues sur le sujet "Input-output feedback linearization"

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SLOTINE, JEAN-JACQUES E., et J. KARL HEDRICK. « Robust input-output feedback linearization ». International Journal of Control 57, no 5 (mai 1993) : 1133–39. http://dx.doi.org/10.1080/00207179308934435.

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Marquez-Martinez, L. A., et C. H. Moog. « Input–Output Feedback Linearization of Time-Delay Systems ». IEEE Transactions on Automatic Control 49, no 5 (mai 2004) : 781–86. http://dx.doi.org/10.1109/tac.2004.825978.

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Abdelhamid, Senhaji, Abdelouhab Mostafa, Attar Abdelilah, Amri Lahcen et Bouchnaif Jamal. « Input-output Feedback Linearization Control for SM-PMSM ». E3S Web of Conferences 469 (2023) : 00062. http://dx.doi.org/10.1051/e3sconf/202346900062.

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This paper introduces a velocity control strategy for Surface-Mounted Permanent Magnet Synchronous Motors SM-PMSM using exact linearization and input-output decoupling techniques, which are rooted in the principles of differential geometry. The primary aim of this control approach is to establish a static state feedback mechanism and to convert the nonlinear PMSM model into a linear, decoupled, and controllable system. Initially, the state model that represents the PMSM dynamics within the d-q reference frame is defined. Subsequently, the process of designing the control through linearization and input-output decoupling is outlined. Lastly, the synthesis of the compensator is grounded in the pole placement method, aiming to drive the direct current towards zero and ensure optimal torque operation. Simulation outcomes conducted on Matlab/Simulink demonstrate the efficacy of the speed control strategy, which is facilitated by a straightforward algorithm for practical implementation. However, it is inadequate against variations in machine parameters and load torque disturbances.
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Wang, D., et M. Vidyasagar. « Control of a Class of Manipulators With a Single Flexible Link : Part I—Feedback Linearization ». Journal of Dynamic Systems, Measurement, and Control 113, no 4 (1 décembre 1991) : 655–61. http://dx.doi.org/10.1115/1.2896471.

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The subject of this paper is the feedback linearization of the input-output and input-state equations for a class of multi-link, three degrees-of-freedom manipulators with the last link flexible. This class includes the 5-bar-linkage and the elbow manipulator. It is shown that the input-output equations are only feedback linearizable if the output variables are chosen appropriately. However, the nonlinear dynamics made unobservable by this feedback are not asymptotically stable which is a severe drawback. It is then shown that the input-state equations are not feedback linearizable. These results indicate that feedback linearization techniques are not appropriate for this class of manipulators. Thus, alternate methodologies should be explored. That issue is tackled in Part II.
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Balasubramhanya, Lalitha S., et Francis J. Doyle. « The effect of multiplicative input uncertainty on input-output feedback linearization ». IFAC Proceedings Volumes 32, no 2 (juillet 1999) : 2233–38. http://dx.doi.org/10.1016/s1474-6670(17)56379-x.

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Kaldmäe, Arvo, et Ülle Kotta. « Input–output linearization of discrete-time systems by dynamic output feedback ». European Journal of Control 20, no 2 (mars 2014) : 73–78. http://dx.doi.org/10.1016/j.ejcon.2013.12.004.

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Kravaris, Costas, et Chang-Bock Chung. « Nonlinear state feedback synthesis by global input/output linearization ». AIChE Journal 33, no 4 (avril 1987) : 592–603. http://dx.doi.org/10.1002/aic.690330408.

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MENDAZ, KHEIRA, et MOHAMED FLITTI. « INPUT-OUTPUT LINEARIZATION CONTROL BASED ON THE SLIDING MODE OF THE SQUIRREL CAGE MOTOR ». REVUE ROUMAINE DES SCIENCES TECHNIQUES — SÉRIE ÉLECTROTECHNIQUE ET ÉNERGÉTIQUE 68, no 2 (3 juillet 2023) : 176–81. http://dx.doi.org/10.59277/rrst-ee.2023.68.2.10.

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Speed squirrel cage motor control is an area of research that has been in evidence for some time. In this paper, a nonlinear controller is presented for the squirrel cage motor drives, based on a combination between input-output feedback linearization control (IOLC) technique and sliding mode control (SMC) to create a new control which is sliding input-output linearization (SIOLC) control of squirrel cage motors, where the sliding mode control is used for controlling the speed of squirrel cage motor and the input-output linearization control applied for two input witch are flux and current. To test the robustness and performance of sliding input-output linearization control (SIOLC) we created a variety of internal and external parameters of the motor. The simulation results are done using Matlab/Simulink, which shows the robustness of the sliding input-output linearization control of squirrel cage motor responses.
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Brzózka, Jerzy. « Design and Analysis of Model Following Control Structure with Nonlinear Plant ». Solid State Phenomena 180 (novembre 2011) : 3–10. http://dx.doi.org/10.4028/www.scientific.net/ssp.180.3.

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Abstract. Linearization methods of the object: input-state and input-output linearization are used usually in a standard feedback control system. However, these systems are sensitive to the changes of nonlinear characteristics of the plant. These changes can be compensated in two types of control systems: in the model following control (MFC) and adaptive. The article presents the first solution and contains: miscellaneous structures of linear control systems with model following, brief description of the linearization’s methods, simulation example of the course control of vessel and the advantages of this solution.
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Zhou, Kai, Min Ai, Dongyang Sun, Ningzhi Jin et Xiaogang Wu. « Field Weakening Operation Control Strategies of PMSM Based on Feedback Linearization ». Energies 12, no 23 (28 novembre 2019) : 4526. http://dx.doi.org/10.3390/en12234526.

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Based on current research into the mathematical model of the permanent magnet synchronous motor (PMSM) and the feedback linearization theory, a control strategy established upon feedback linearization is proposed. The Lie differential operation is performed on the output variable to obtain the state feedback of the nonlinear system, and the dynamic characteristics of the original system are transformed into linear dynamic characteristics. A current controller based on the input–output feedback linearization algorithm is designed to realize the input–output linearization control of the PMSM. The current controller decouples the d–q axis current from the flux linkage information of the motor and outputs a control voltage. When the motor speed reaches above the base speed, the field-forward and straight-axis current components are newly distributed to achieve field weakening control, which can realize the smooth transition between the constant torque region and weak magnetic region. Simulation and experimental results show the feasibility and viability of the strategy.
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Thèses sur le sujet "Input-output feedback linearization"

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Maeda, Ken. « Nonlinear control system of inverted pendulum based on input-output linearization ». Diss., Online access via UMI:, 2006.

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Smith, David Everett. « Modelling and controlling a bio-inspired flapping-wing micro aerial vehicle ». Thesis, Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/43577.

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The objective of this research is to verify the three degree of freedom capabilities of a bio-inspired quad flapping-wing micro aerial vehicle in simulation and in hardware. The simulation employs a nonlinear plant model and input-output feedback linearization controller to verify the three degree of freedom capabilities of the vehicle. The hardware is a carbon fiber test bench with four flapping wings and an embedded avionics system which is controlled via a PD linear controller. Verification of the three degree of freedom capabilities of the quad flapping-wing concept is achieved by analyzing the response of both the simulation and test bench to pitch, roll, and yaw attitude commands.
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Kumar, Atal Anil. « Conception et commande d'un robot à câbles pour la manipulation dextre de pièces sur des chaînes de production ». Electronic Thesis or Diss., Université de Lorraine, 2020. http://www.theses.fr/2020LORR0269.

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L’objectif de cette thèse est de concevoir et de contrôler un système de Robot Parallèle à Câbles (RPC) à quatre câbles pour la manipulation dextre de pièces sur des chaînes de production. Pour une ligne de fabrication déjà installée, l’espace de travail est souvent limité et l’ajout d’un nouveau robot-sériel sur le sol de l’atelier est parfois difficile. L’utilisation du plafond pour fixer une machine lourde n’est pas toujours possible car il pourrait être nécessaire de renforcer la structure. Le RPC est un moyen de réaliser la tâche avec une faible modification de l’atelier existant. La nouveauté du travail réside dans le fait que la majorité des conceptions existantes placent les moteurs d’actionnement et les treuils de la plate-forme de base, alors que dans ce travail, les moteurs d’actionnement sont embarqués sur la plate-forme mobile, ce qui permet de fixer facilement le RPC dans la chaîne de fabrication avec des points d’ancrage simples. Tout d’abord, l’espace de travail du RPC pour l’environnement souhaité est étudié. La nature sous-actionnée du robot et la contrainte d’une force de tension positive du câble imposés en raison de la flexibilité des câbles limitent sont la base d’une étude sur l’espace de travail respectant les conditions d’équilibre statique. Les équations d’équilibre statique classiques ont été utilisés pour calculer l’espace de travail du robot et le comportement correspondant de la plateforme mobile. Les angles d’orientation de la plate-forme ont été présentés. Plusieurs études de cas ont été montres avec différentes charges utiles attachées à la plate-forme mobile. Les dimensions de la plate-forme mobile et la structure de base ont également été modifiées afin de calculer le domaine de l’espace de travail où les performances du robot peuvent être satisfaisantes. Les dimensions du prototype ont été fixées en tenant compte de l’espace de travail. Par la suite, le modèle dynamique classique du RPC a été utilisé pour mettre en œuvre la loi de contrôle. La deuxième partie de la thèse présente la conception et la mise en œuvre des lois de contrôle pour la RPC. La linéarisation classique de la rétroaction entrée- sortie (IOFL) est développée et des résultats de simulation ont été présentés. Le rôle de la dynamique interne présente dans le système en raison de la sous-performance a été démontré en utilisant leur diagramme de phase. Deux solutions possibles ont été envisagées afin de réduire l’effet des dynamiques internes sur le système. La première solution consiste à utiliser des proportions appropriées pour la plate-forme et la structure de base. Des résultats de simulation ont été présentés pour montrer le comportement de la plate-forme lorsque les dimensions sont modifiées. Une linéarisation modifiée de la rétroaction (MFL) a été proposé comme une solution ad-hoc pour éliminer les effets de la dynamique interne. Les résultats de la simulation obtenus montrent que la solution ad-hoc proposée fonctionne efficacement et nettement mieux que la technique classique de l’IOFL pour certaines dimensions du RPC. L’utilisation de cette approche pour différents cas de RPC doit faire l’objet d’une étude enquête. Les résultats expérimentaux validant la technique de l’IOFL sont présentés pour démontrer le comportement satisfaisant de le RPC avec le contrôle. L’objectif global du projet est de développer un robot parallèle à câble qui peut travailler avec un opérateur dans une chaîne de fabrication pleinement fonctionnelle et aider le travailleur à soulever les objets lourds ou chauds. Cette thèse réalise la première étape pour rendre un prototype de RPC qui sera par la suite amélioré pour le rendre collaboratif
This thesis aims to design and control an underactuated Cable-Driven Parallel Robot (CDPR) with four cables for the agile handling of parts in a manufacturing line. For already installed manufacturing lines, most of the available working space is often used, and adding a new serial robot on the workshop ground is sometimes difficult. Using the ceiling to fix heavy machines is not always possible, and it could be necessary to reinforce the structure. CDPR is a way to achieve the work with a light structure, with low modification of the existing workshop. The novelty of the work lies in the fact that the majority of the existing designs place the actuating motors and the winches on the base platform, whereas in this work, the actuating motors are placed on the moving platform, making it convenient for the CDPR to be fixed in the manufacturing line with simple anchor points. First, the workspace of the CDPR for the desired environment is investigated. The underactuated nature of the robot and the positive cable tension constraint imposed due to the flexibility of the cable limit the workspace investigation to static equilibrium conditions. The classical static equilibrium equations have been used to calculate the robot workspace and the corresponding behavior of the plat- form orientation angles have been presented. Several case studies have been shown with different payloads attached to the moving platform. The dimensions of the moving platform and the base structure have also been changed to understand the possible region of the workspace where the robot performance can be satisfactory. The prototype dimensions have been fixed taking into account the workspace performance. Following this, the classical dynamic model developed in the field of CDPR has been used to implement the control law on the CDPR. The second part of the thesis presents the design and implementation of the control laws for the CDPR. The classical Input-Output Feedback Linearization (IOFL) technique is developed and simulation results have been presented. The role of internal dynamics present in the system because of the underactuation is demonstrated using their phase-plane plots. Two possible solutions have been suggested to reduce the effect of internal dynamics on the system. The first solution is to use appropriate dimensions for the platform and the base structure. Simulation results have been presented to show the behavior of the platform when the dimensions are changed. A Modified Feedback Linearization (MFL) has been proposed as an ad-hoc solution for eliminating the effects of the internal dynamics. The simulation results obtained show that the proposed ad-hoc solution performs efficiently and significantly better than the classical IOFL technique for certain dimensions of the CDPR. The use of this approach for different cases of CDPR needs to be investigated. Experimental results validating the IOFL technique are presented to demonstrate the satisfactory behavior of the CDPR with the control law developed during the thesis. The overall objective of the project is to develop a CDPR that can work with an operator in a fully functional manufacturing line and aid the worker in lifting heavy or hot objects. This thesis achieves the first step in making a functional prototype of a CDPR which will be improved further to make it collaborative
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YU, SHANG-YUN, et 余尚運. « Adaptive Input-Output Feedback Linearization of Nonlinear Systems ». Thesis, 2015. http://ndltd.ncl.edu.tw/handle/91327940390369523289.

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碩士
國立臺灣科技大學
機械工程系
103
Traditional feedback linearization is only applicable to known nonlinear systems. Once the system has uncertainties, the derivation cannot be feasible. This paper focuses on the input-output feedback linearization of nonlinear systems with uncertainties. The time derivatives of the output functions are taken until the presence of the control signal. During this derivation, all uncertainties will be lumped together. Finally, we can obtain a linear time invariant system through a particular set of coordinate transformations. At this step, all uncertainties are gathered into a term in the last subsystem. Then we may take advantage of the function approximation technique to estimate the uncertainty and prove system stability by the Lyapunov theorem. Simulation results show that the approach is feasible and can give desired system performance.
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Livres sur le sujet "Input-output feedback linearization"

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Institute for Computer Applications in Science and Engineering., dir. A control problem for Burger's equation with bounded input/output. Hampton, Va : Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 1990.

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Chapitres de livres sur le sujet "Input-output feedback linearization"

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Loubna, Atarsia, Toufouti Riad et Meziane Salima. « Control of Wind Water Pumping Using Input-Output Feedback Linearization Technique ». Dans Digital Technologies and Applications, 1267–78. Cham : Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-73882-2_116.

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Van, Tan Luong, Ngoc Minh Doan Nguyen, Le Thanh Toi et Tran Thanh Trang. « Advanced Control Strategy of Dynamic Voltage Restorers for Distribution System Using Sliding Mode Control Input-Output Feedback Linearization ». Dans Lecture Notes in Electrical Engineering, 521–31. Cham : Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-69814-4_50.

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Piltan, Farzin, Manjurul Islam et Jong-Myon Kim. « Input-Output Fault Diagnosis in Robot Manipulator Using Fuzzy LMI-Tuned PI Feedback Linearization Observer Based on Nonlinear Intelligent ARX Model ». Dans Advances in Intelligent Systems and Computing, 305–15. Singapore : Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-0341-8_28.

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Inan, Remzi, Mevlut Ersoy et Cem Deniz Kumral. « Optimization of the Input/Output Linearization Feedback Controller with Simulated Annealing and Designing of a Novel Stator Flux-Based Model Reference Adaptive System Speed Estimator with Least Mean Square Adaptation Mechanism ». Dans Trends in Data Engineering Methods for Intelligent Systems, 755–69. Cham : Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-79357-9_69.

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Şehirli, Erdal. « Feedback Linearization Control of Interleaved Boost Converter Fed by PV Array ». Dans Nonlinear Systems - Recent Developments and Advances [Working Title]. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.106355.

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One of the powerful methods of nonlinear control is the feedback linearization technique. This technique consists of input state and input-output linearization methods. In this chapter, the feedback linearization technique, including input state and input-output linearization methods, is described. Then, input-output linearization method is used for output voltage control of interleaved boost converter. Firstly, mathematical model of the interleaved boost converter is derived after that the method is applied. Besides, the interleaved boost converter is fed by a PV array under irradiation level and ambient temperature change. As a result of the simulation study, output voltage control of interleaved boost converter under reference voltage change is realized as desired.
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Tarn, T. J., et W. Zhan. « INPUT-OUTPUT DECOUPLING AND LINEARIZATION VIA RESTRICTED STATIC-STATE FEEDBACK ». Dans Automatic Control 1990, 287–92. Elsevier, 1991. http://dx.doi.org/10.1016/b978-0-08-041263-4.50051-8.

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Charfeddine, Monia, Khalil Jouili et Naceur Benhadj Braiek. « Approximate Input-Output Feedback Linearization of Non-Minimum Phase System using Vanishing Perturbation Theory ». Dans Handbook of Research on Advanced Intelligent Control Engineering and Automation, 173–201. IGI Global, 2015. http://dx.doi.org/10.4018/978-1-4666-7248-2.ch006.

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The inverse of a non-minimum-phase system being unstable, standard input-output feedback linearization is not effective to control such systems. In this chapter is a presentation of a new tracking control method for the nonlinear non-minimum-phase system. Indeed, the main idea here is to dismiss a part of system dynamics in order to make the approximate system input-state feedback linearizable. The neglected part is then considered as a perturbation part that vanishes at the origin. Finally, a linear controller is designed to control the approximate system. Stability is analyzed using the vanishing perturbation theory. The efficacy and usage of the proposed approach is evaluated in an illustrative inverted cart-pendulum example.
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Ahmad Tali, Sajad, Faroze Ahmad et Inayat Hussain Wani. « Design and Analysis of Feedback Control for DC-DC Buck Converter ». Dans New Frontiers in Communication and Intelligent Systems, 319–28. Soft Computing Research Society, 2021. http://dx.doi.org/10.52458/978-81-95502-00-4-33.

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The DC-DC buck converters have wide range of emerging applications such as in photovoltaic systems and linear drives which have the requirement of high efficiency and optimum transient response over dynamic changes in line voltage and load. The purpose of this manuscript is to make a DC-DC buck converter robust against the deviations in the input voltage, load current and to reduce the steady state error. In this paper averaging and linearization of buck converter has been done and then applying K-Factor method controller has been designed in such a way that stabilizes the output voltage of buck converter irrespective of the line voltage and load disturbances. Mathematical analysis and MATLAB simulation waveforms of proposed method validate that output voltage is maintained irrespective of the disturbance in line voltage and load variations while retaining acceptable phase margin.
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Krim, Saber, et Mohamed Faouzi Mimouni. « Robust Control Based on Input-Output Feedback Linearization for Induction Motor Drive : Real Time Implementation ». Dans Robust Control - Applications in Manufacturing System [Working Title]. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.104645.

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This chapter proposes a design of hardware architecture of an improved Direct Torque Control (DTC) for a real-time implementation on a Xilinx Field-Programmable Gate Array (FPGA). The first contribution in this chapter consists in combining the DTC with a Space Vector Modulation (SVM) technique and an Input-Output Feedback Linearization (IOFL) approach. In fact, the classical DTC has remarkable performance in terms of fast torque response and less dependence on the system parameters. Despite the cited advantages, the classical DTC is penalized by high torque ripples and inverter-switching-frequency variations. In this context, the SVM is added to the DTC structure in order to keep the switching frequency constant and to reduce ripples. Furthermore, the nonlinear IOFL is proposed to achieve a decoupled flux and torque control. The novel structure is named in this chapter as DTC-IOFL-SVM. Moreover, this chapter presents a hardware implementation of the suggested DTC-IOFL-SVM strategy utilization. The hardware implementation is chosen in order to reduce the sampling period of the system thanks to the parallel processing of the FPGA. In order to demonstrate the performance of the FPGA implementation of the proposed DTC-IOFL-SVM, numerous simulation results are presented using the Xilinx system generator under a Matlab/Simulink.
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Bock, Gregory A., Ryan T. Hendrickson, Jared Allen Lamkin, Brittany Dhall, Jing Wang et In Soo Ahn. « Experimental Validation of Distributed Cooperative Control of Multiple Mobile Robots via Local Information Exchange ». Dans Robotic Systems, 743–64. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-1754-3.ch039.

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In this paper, we present the experimental testing results of distributed cooperative control algorithms for multiple mobile robots with limited sensing/communication capacity and kinematic constraints. Rendezvous and formation control problems are considered, respectively. To deal with the inherent kinematic constraints with robot model, the input/output linearization via feedback is used to convert the nonlinear robot model into a linear one, and then the distributed cooperative control algorithms are designed via local information exchange among robots. Extensive experiments using Quanser's QBot2 mobile robot platforms are conducted to validate the effectiveness of the proposed distributed cooperative control algorithms. Specifically, the robot's onboard Kinect vision sensor is applied to solve the localization problem, and the information exchange is done through an ad-hoc peer-to-peer wireless TCP/IP connection among neighboring robots. Collision avoidance problem is also addressed based on the utilization of fuzzy logic rules.
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Actes de conférences sur le sujet "Input-output feedback linearization"

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Kaldmae, Arvo, et Ulle Kotta. « Input-output linearization by dynamic output feedback ». Dans 2013 European Control Conference (ECC). IEEE, 2013. http://dx.doi.org/10.23919/ecc.2013.6669146.

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Ciulkin, Monika, Ewa Pawluszewicz, Vadim Kaparin et Ulle Kotta. « Input-output linearization by dynamic output feedback on homogeneous time scales ». Dans 2015 20th International Conference on Methods and Models in Automation and Robotics (MMAR ). IEEE, 2015. http://dx.doi.org/10.1109/mmar.2015.7283922.

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Kravaris, Costas, et Chang-Bock Chung. « Nonlinear State Feedback Synthesis by Global Input/Output Linearization ». Dans 1986 American Control Conference. IEEE, 1986. http://dx.doi.org/10.23919/acc.1986.4789080.

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Botto, Miguel Ayala, Ton J. J. van den Boom et Jose Sa da Costa. « Robust control using neural networks and input-output feedback linearization ». Dans 2001 European Control Conference (ECC). IEEE, 2001. http://dx.doi.org/10.23919/ecc.2001.7076541.

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Lin, Wei, Rui Li et Xiao-yan Qiu. « Strategy Analysis of Photovoltaic Grid Based on Input-Output Feedback Linearization ». Dans 2012 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC). IEEE, 2012. http://dx.doi.org/10.1109/appeec.2012.6307164.

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Sumantri, Bambang, M. N. Karsiti et Salman Ahmed. « Input-Output Exact Feedback Linearization for Depth Positioning of Spherical URV ». Dans 2009 International Conference on Advanced Computer Control. IEEE, 2009. http://dx.doi.org/10.1109/icacc.2009.111.

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Naimi, Amine, Jiamei Deng, Akbar Sheikh-Akbari, S. R. Shimjith et A. John Arul. « Input-Output Feedback Linearization Control for a PWR Nuclear Power Plant ». Dans 2022 European Control Conference (ECC). IEEE, 2022. http://dx.doi.org/10.23919/ecc55457.2022.9838020.

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Tsakyridis, Georgios, et Nikolaos I. Xiros. « Input-Output Linearization Control of 1 DOF Electromagnetic Transducer ». Dans ASME 2023 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2023. http://dx.doi.org/10.1115/imece2023-116446.

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Abstract The non-linear dynamics of a linear mechanical oscillator coupled with an electromagnet and its driving circuit through a magnetic field are investigated. Input-Output Feedback Linearization is a used to transform the non-linear system into a linear system that is easier to control. The approach involves canceling out the non-linear terms in the system equations by introducing an appropriate input-output mapping. This mapping transforms the system into a set of linear equations, which can then be controlled using traditional linear control methods. A controller using a pole placement is implemented to stabilize the electromechanical oscillator and track a reference trajectory. This way we can demonstrate that the electro-magneto-mechanical transducer is suitable for sensor applications by enabling precise and rapid tracking of state variables. Moreover, the potential to drive multiple modules from a single source using modulation further highlights the applicability of this technology in various engineering applications, including robotics, aerospace, and power systems.
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Rehaoulia, Abir, Mahmoud Hamouda et Farhat Fnaiech. « Input-output feedback linearization control of a Cascaded H-bridge multilevel inverter ». Dans 2013 International Conference On Electrical Engineering and Software Applications (ICEESA). IEEE, 2013. http://dx.doi.org/10.1109/iceesa.2013.6578463.

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Farrokh Payam, A., B. Mirzaeian Dehkordi et M. Moallem. « Adaptive input-output feedback linearization controller for doubly-fed induction machine drive ». Dans 2007 International Aegean Conference on Electrical Machines and Power Electronics (ACEMP) and Electromotion '07. IEEE, 2007. http://dx.doi.org/10.1109/acemp.2007.4510606.

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