Увійти

Готові списки джерел за темами / Contrôle feed-forward / Статті в журналах

Щоб переглянути інші типи публікацій з цієї теми, перейдіть за посиланням: Contrôle feed-forward.

Статті в журналах з теми "Contrôle feed-forward"

Автор: Grafiati

Опубліковано: 24 травня 2025

Оновлено: 29 травня 2025

Оформте джерело за APA, MLA, Chicago, Harvard та іншими стилями

Оберіть тип джерела:

Ознайомтеся з топ-50 статей у журналах для дослідження на тему "Contrôle feed-forward".

Біля кожної праці в переліку літератури доступна кнопка «Додати до бібліографії». Скористайтеся нею – і ми автоматично оформимо бібліографічне посилання на обрану працю в потрібному вам стилі цитування: APA, MLA, «Гарвард», «Чикаго», «Ванкувер» тощо.

Також ви можете завантажити повний текст наукової публікації у форматі «.pdf» та прочитати онлайн анотацію до роботи, якщо відповідні параметри наявні в метаданих.

Переглядайте статті в журналах для різних дисциплін та оформлюйте правильно вашу бібліографію.

1

Seifried, Robert, Held Alexander, and Dietmann Fabian. "58301 ANALYSIS OF FEED-FORWARD CONTROL DESIGNS FOR FLEXIBLE MULTIBODY SYSTEMS(Flexible Multibody Dynamics)." Proceedings of the Asian Conference on Multibody Dynamics 2010.5 (2010): _58301–1_—_58301–9_. http://dx.doi.org/10.1299/jsmeacmd.2010.5._58301-1_.

Повний текст джерела

Стилі APA, Harvard, Vancouver, ISO та ін.

2

Tutsch, R., and C. Hernández. "Feed-Forward-Regelung von Prozessketten*." wt Werkstattstechnik online 103, no. 11-12 (2013): 911–14. http://dx.doi.org/10.37544/1436-4980-2013-11-12-911.

Повний текст джерела

Стилі APA, Harvard, Vancouver, ISO та ін.

3

Sengupta, Poulami, Kalpana P, and Prakash P. "Fly Back Converter with Feed - Forward Control and TPS3700 based Protection Scheme for Fast Transient Space Applications." International Journal of Science and Research (IJSR) 10, no. 8 (August 27, 2021): 342–45. https://doi.org/10.21275/sr21807161535.

Повний текст джерела

Стилі APA, Harvard, Vancouver, ISO та ін.

4

Yabui, Shota, and Takenori Atsumi. "MoD-1-3 IMPROVEMENT OF CONVERGENCE FOR ADAPTIVE FEED-FORWARD CONTROL BY INITIAL VALUE SETTING IN HARD DISK DRIVES." Proceedings of JSME-IIP/ASME-ISPS Joint Conference on Micromechatronics for Information and Precision Equipment : IIP/ISPS joint MIPE 2015 (2015): _MoD—1–3–1—_MoD—1–3–3. http://dx.doi.org/10.1299/jsmemipe.2015._mod-1-3-1.

Повний текст джерела

Стилі APA, Harvard, Vancouver, ISO та ін.

5

Char, M. B. S. "Questions concerned with feed‐back and feed‐forward cycles." Kybernetes 27, no. 1 (February 1998): 87–89. http://dx.doi.org/10.1108/03684929810795199.

Повний текст джерела

Стилі APA, Harvard, Vancouver, ISO та ін.

6

Norrlöf, Mikael, and Svante Gunnarsson. "An ILC approach to feed-forward friction compensation." IFAC-PapersOnLine 53, no. 2 (2020): 1409–14. http://dx.doi.org/10.1016/j.ifacol.2020.12.1902.

Повний текст джерела

Стилі APA, Harvard, Vancouver, ISO та ін.

7

Johansson, Viktor, Stig Moberg, Erik Hedberg, Mikael Norrlöf, and Svante Gunnarsson. "A Learning Approach for Feed-Forward Friction Compensation." IFAC-PapersOnLine 51, no. 22 (2018): 412–17. http://dx.doi.org/10.1016/j.ifacol.2018.11.578.

Повний текст джерела

Стилі APA, Harvard, Vancouver, ISO та ін.

8

Heyden, Martin, Richard Pates, and Anders Rantzer. "A Structured Optimal Controller With Feed-Forward for Transportation." IEEE Control Systems Letters 6 (2022): 1130–35. http://dx.doi.org/10.1109/lcsys.2021.3088666.

Повний текст джерела

Стилі APA, Harvard, Vancouver, ISO та ін.

9

Silva, Sergio, Leonardo Sampaio, Fernando Oliveira, and Fábio Durand. "Pso-based Mppt Technique Applied To A Grid-tied Pv System With Active Power Line Conditioning Using A Feed-forward Dc-bus Control Loop." Eletrônica de Potência 21, no. 2 (May 1, 2016): 105–16. http://dx.doi.org/10.18618/rep.2016.2.2615.

Повний текст джерела

Стилі APA, Harvard, Vancouver, ISO та ін.

10

Rowold, Matthias, Alexander Wischnewski, and Boris Lohmann. "Constrained Bayesian Optimization of a Linear Feed-Forward Controller." IFAC-PapersOnLine 52, no. 29 (2019): 1–6. http://dx.doi.org/10.1016/j.ifacol.2019.12.612.

Повний текст джерела

Стилі APA, Harvard, Vancouver, ISO та ін.

11

Haas, Rainer, and Evgeny Lukachev. "Optimal feed-forward control of a digital hydraulic drive." Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 231, no. 2 (April 20, 2016): 94–106. http://dx.doi.org/10.1177/0959651816640622.

Повний текст джерела

Стилі APA, Harvard, Vancouver, ISO та ін.

12

Just, Fabian, Özhan Özen, Philipp Bösch, Hanna Bobrovsky, Verena Klamroth-Marganska, Robert Riener, and Georg Rauter. "Exoskeleton transparency: feed-forward compensation vs. disturbance observer." at - Automatisierungstechnik 66, no. 12 (December 19, 2018): 1014–26. http://dx.doi.org/10.1515/auto-2018-0069.

Повний текст джерела

Анотація:

Abstract Undesired forces during human-robot interaction limit training effectiveness with rehabilitation robots. Thus, avoiding such undesired forces by improved mechanics, sensorics, kinematics, and controllers are the way to increase exoskeleton transparency. In this paper, the arm therapy exoskeleton ARMin IV+ was used to compare the differences in transparency offered by using the previous feed-forward model-based controller, with a disturbance observer in a study. Systematic analysis of velocity-dependent effects of controller transparency in single- and multi-joint scenarios performed in this study highlight the advantage of using disturbance observers for obtaining consistent transparency behavior at different velocities in single-joint and multi-joint movements. As the main result, the concept of the disturbance observer sets a new benchmark for ARMin transparency.

Стилі APA, Harvard, Vancouver, ISO та ін.

13

Egami, Tadashi, and Takeshi Tsuchiya. "Efficiency-Optimized Speed Control System with Feed-Forward Compensation." IEEE Transactions on Industrial Electronics IE-34, no. 2 (May 1987): 216–26. http://dx.doi.org/10.1109/tie.1987.350957.

Повний текст джерела

Стилі APA, Harvard, Vancouver, ISO та ін.

14

Schmuck, Christian, Frank Woittennek, Albrecht Gensior, and Joachim Rudolph. "Feed-Forward Control of an HVDC Power Transmission Network." IEEE Transactions on Control Systems Technology 22, no. 2 (March 2014): 597–606. http://dx.doi.org/10.1109/tcst.2013.2253322.

Повний текст джерела

Стилі APA, Harvard, Vancouver, ISO та ін.

15

Erwin-Wright, Stephen, David Sanders, and Sheng Chen. "Predicting terrain contours using a feed-forward neural network." Engineering Applications of Artificial Intelligence 16, no. 5-6 (August 2003): 465–72. http://dx.doi.org/10.1016/j.engappai.2003.08.002.

Повний текст джерела

Стилі APA, Harvard, Vancouver, ISO та ін.

16

Jahagirdar, Aditi, and Rashmi Phalnikar. "Comparison of feed forward and cascade forward neural networks for human action recognition." Indonesian Journal of Electrical Engineering and Computer Science 25, no. 2 (February 1, 2022): 892. http://dx.doi.org/10.11591/ijeecs.v25.i2.pp892-899.

Повний текст джерела

Анотація:

Humans can perform an enormous number of actions like running, walking, pushing, and punching, and can perform them in multiple ways. Hence recognizing a human action from a video is a challenging task. In a supervised learning environment, actions are first represented using robust features and then a classifier is trained for classification. The selection of a classifier does affect the performance of human action recognition. This work focuses on the comparison of two structures of the neural network, namely, feed forward neural network and cascade forward neural network, for human action recognition. Histogram of oriented gradients (HOG) and histogram of optical flow (HOF) are used as features for representing the actions. HOG represents the spatial features of the video while HOF gives motion features of the video. The performance of two neural network architectures is compared based on recognition accuracy. Well-known publically available datasets for action and interaction detection are used for testing. It is seen that, for human action recognition applications, feed forward neural network gives better results in terms of higher recognition accuracy than Cascade forward neural network.

Стилі APA, Harvard, Vancouver, ISO та ін.

17

Marcello, Fabio Bonassi, and Farina Riccardo Scattolini. "Stability of discrete-time feed-forward neural networks in NARX configuration." IFAC-PapersOnLine 54, no. 7 (2021): 547–52. http://dx.doi.org/10.1016/j.ifacol.2021.08.417.

Повний текст джерела

Стилі APA, Harvard, Vancouver, ISO та ін.

18

Li, Yibo, Zhaohui Liu, and Yanmei Liu. "Hysteresis Modeling of Piezoelectric Actuators and Feed-Forward Compensation Algorithm Research." International Journal of Control and Automation 8, no. 12 (December 31, 2015): 331–40. http://dx.doi.org/10.14257/ijca.2015.8.12.30.

Повний текст джерела

Стилі APA, Harvard, Vancouver, ISO та ін.

19

Fan, Bo, Zhumu Fu, Kai Michels, and Jiangtao Fu. "Coordinate strategy of dual-pulse-width-modulation converter based on direct power control with load power feed-forward." Measurement and Control 53, no. 5-6 (April 7, 2020): 859–69. http://dx.doi.org/10.1177/0020294020912774.

Повний текст джерела

Анотація:

The common dual-pulse-width-modulation converter adopts the independent method to control the rectifier and inverter, which has the defects including direct current voltage fluctuation, slow system response and so on. A coordinate strategy of dual-pulse-width modulation based on direct power control with load power feed-forward is proposed in this paper. The fixed switching frequency method with space vector pulse width modulation is provided to overcome the instability of power devices, caused by the hysteresis comparators in the conventional direct power control. With the analysis on the dynamic performance of load power feed-forward coordination, the principle of load power feed-forward is introduced to control the dual-pulse-width-modulation converter. According to the state variable of the alternating current motor, the load power is estimated to construct the feed-forward channel. The experimental results show that the proposed coordinate control method has rapid response, direct current bus voltage fluctuation minimization, lower capacity and unit power factor.

Стилі APA, Harvard, Vancouver, ISO та ін.

20

Rabbani, Tarek S., Florent Di Meglio, Xavier Litrico, and Alexandre M. Bayen. "Feed-Forward Control of Open Channel Flow Using Differential Flatness." IEEE Transactions on Control Systems Technology 18, no. 1 (January 2010): 213–21. http://dx.doi.org/10.1109/tcst.2009.2014640.

Повний текст джерела

Стилі APA, Harvard, Vancouver, ISO та ін.

21

Braun, Tristan, Johannes Reuter, and Joachim Rudolph. "Flatness-Based Feed-Forward Control Design for Solenoid Actuators Considering Eddy Currents." IFAC-PapersOnLine 52, no. 15 (2019): 567–72. http://dx.doi.org/10.1016/j.ifacol.2019.11.736.

Повний текст джерела

Стилі APA, Harvard, Vancouver, ISO та ін.

22

Machado, Eduardo, Tiago Pinto, Vanessa Guedes, and Hugo Morais. "Electrical Load Demand Forecasting Using Feed-Forward Neural Networks." Energies 14, no. 22 (November 16, 2021): 7644. http://dx.doi.org/10.3390/en14227644.

Повний текст джерела

Анотація:

The higher share of renewable energy sources in the electrical grid and the electrification of significant sectors, such as transport and heating, are imposing a tremendous challenge on the operation of the energy system due to the increase in the complexity, variability and uncertainties associated with these changes. The recent advances of computational technologies and the ever-growing data availability allowed the development of sophisticated and efficient algorithms that can process information at a very fast pace. In this sense, the use of machine learning models has been gaining increased attention from the electricity sector as it can provide accurate forecasts of system behaviour from energy generation to consumption, helping all the stakeholders to optimize their activities. This work develops and proposes a methodology to enhance load demand forecasts using a machine learning model, namely a feed-forward neural network (FFNN), by incorporating an error correction step that involves the prediction of the initial forecast errors by another FFNN. The results showed that the proposed methodology was able to significantly improve the quality of load demand forecasts, demonstrating a better performance than the benchmark models.

Стилі APA, Harvard, Vancouver, ISO та ін.

23

Vazquez, Nimrod, and Marco Liserre. "Peak Current Control and Feed-Forward Compensation of a DAB Converter." IEEE Transactions on Industrial Electronics 67, no. 10 (October 2020): 8381–91. http://dx.doi.org/10.1109/tie.2019.2949523.

Повний текст джерела

Стилі APA, Harvard, Vancouver, ISO та ін.

24

Chang, R. G., C. Y. Chen, J. H. Hong, and S. Y. Lee. "Wide dynamic-range sigma–delta modulator with adaptive feed-forward coefficients." IET Circuits, Devices & Systems 4, no. 2 (2010): 99. http://dx.doi.org/10.1049/iet-cds.2009.0079.

Повний текст джерела

Стилі APA, Harvard, Vancouver, ISO та ін.

25

Chinnam, Ratna Babu, and Pundarikaksha Baruah. "Empirical prediction limit estimation methods for feed-forward neural networks." International Journal of General Systems 36, no. 2 (April 2007): 221–36. http://dx.doi.org/10.1080/03081070600782170.

Повний текст джерела

Стилі APA, Harvard, Vancouver, ISO та ін.

26

Anas, Muhammad. "Probiotics Role in Control of Coccidiosis in Poultry Industry." Open Access Journal of Veterinary Science & Research 3, no. 1 (2018): 1–3. http://dx.doi.org/10.23880/oajvsr-16000152.

Повний текст джерела

Анотація:

Cereal products fermented by lactic acid bacteria are documented first in Egypt and Iraq during 2000 - 3000 B.C. These are one of the oldest fermented foods. In 1907, Elie Metcnikoff was the first scientist who not only observes but also put forward the scie ntific basics of fermentation. Then to explore gut bacteria intensive researches were made in late 1940s. In 2006 FAO and WHO give the complete definition of probiotics, living microbes beneficial for health provided in feed. For treatment of Coccidiosis p robiotic combinations of different microbes such as Lactobacillus, Bifidibacterium and Streptococcus are used now days. Coccidiosis, a parasitic disease mainly of poultry sector, caused by Eimeria specie’s. Coccidiosis causes serious damage to the intestin al epithelium resulting in diarrhea. This problem can be effectively controlled by the use of feed probiotics.

Стилі APA, Harvard, Vancouver, ISO та ін.

27

Saravanan, N., A. Duyar, T. H. Guo, and W. C. Merrill. "Modeling space shuttle main engine using feed-forward neural networks." Journal of Guidance, Control, and Dynamics 17, no. 4 (July 1994): 641–48. http://dx.doi.org/10.2514/3.21250.

Повний текст джерела

Стилі APA, Harvard, Vancouver, ISO та ін.

28

Erikssont, Jerry, Mårten Gulliksson, Per Lindström, and Per-åke Wedin. "Regularization tools for training large feed-forward neural networks using automatic differentiation∗." Optimization Methods and Software 10, no. 1 (January 1998): 49–69. http://dx.doi.org/10.1080/10556789808805701.

Повний текст джерела

Стилі APA, Harvard, Vancouver, ISO та ін.

29

Bartl, Andreas, Morteza Karamooz Mahdiabadi, Christina Insam, Johannes Mayet, and Daniel J. Rixen. "A hybrid testing method based on adaptive feed-forward filters." Mechanical Systems and Signal Processing 139 (May 2020): 106586. http://dx.doi.org/10.1016/j.ymssp.2019.106586.

Повний текст джерела

Стилі APA, Harvard, Vancouver, ISO та ін.

30

Yuen, Shelten G., Douglas P. Perrin, Nikolay V. Vasilyev, Pedro J. del Nido, and Robert D. Howe. "Force tracking with feed-forward motion estimation for beating heart surgery." IEEE Transactions on Robotics 26, no. 5 (October 2010): 888–96. http://dx.doi.org/10.1109/tro.2010.2053734.

Повний текст джерела

Стилі APA, Harvard, Vancouver, ISO та ін.

31

Csikasz-Nagy, Attila. "1SA-06 Feedback and feed-forward controls of cell cycle transitions(1SA Dynamics and Robustness in Biological networks,The 49th Annual Meeting of the Biophysical Society of Japan)." Seibutsu Butsuri 51, supplement (2011): S1—S2. http://dx.doi.org/10.2142/biophys.51.s1_6.

Повний текст джерела

Стилі APA, Harvard, Vancouver, ISO та ін.

32

Bodrov, Alexey, Roger Shuttleworth, and Matteo Iacchetti. "Modulation and Feed-Forward Based Damping Matching Strategy for Linear Generators." IEEE Transactions on Industry Applications 57, no. 5 (September 2021): 5296–305. http://dx.doi.org/10.1109/tia.2021.3088087.

Повний текст джерела

Стилі APA, Harvard, Vancouver, ISO та ін.

33

Aalbers, A. B., R. F. Tap, and J. A. Pinkster. "An application of dynamic positioning control using wave feed forward." International Journal of Robust and Nonlinear Control 11, no. 13 (2001): 1207–37. http://dx.doi.org/10.1002/rnc.603.

Повний текст джерела

Стилі APA, Harvard, Vancouver, ISO та ін.

34

Correia, Sérgio D., Slavisa Tomic, and Marko Beko. "A Feed-Forward Neural Network Approach for Energy-Based Acoustic Source Localization." Journal of Sensor and Actuator Networks 10, no. 2 (April 22, 2021): 29. http://dx.doi.org/10.3390/jsan10020029.

Повний текст джерела

Анотація:

The localization of an acoustic source has attracted much attention in the scientific community, having been applied in several different real-life applications. At the same time, the use of neural networks in the acoustic source localization problem is not common; hence, this work aims to show their potential use for this field of application. As such, the present work proposes a deep feed-forward neural network for solving the acoustic source localization problem based on energy measurements. Several network typologies are trained with ideal noise-free conditions, which simplifies the usual heavy training process where a low mean squared error is obtained. The networks are implemented, simulated, and compared with conventional algorithms, namely, deterministic and metaheuristic methods, and our results indicate improved performance when noise is added to the measurements. Therefore, the current developed scheme opens up a new horizon for energy-based acoustic localization, a field where machine learning algorithms have not been applied in the past.

Стилі APA, Harvard, Vancouver, ISO та ін.

35

Kelly, Rafael. "A Linear-State Feedback Plus Adaptive Feed-Forward Control for DC Servomotors." IEEE Transactions on Industrial Electronics IE-34, no. 2 (May 1987): 153–57. http://dx.doi.org/10.1109/tie.1987.350947.

Повний текст джерела

Стилі APA, Harvard, Vancouver, ISO та ін.

36

Garone, Emanuele, Francesco Tedesco, and Alessandro Casavola. "Sensorless supervision of linear dynamical systems: The Feed-Forward Command Governor approach." Automatica 47, no. 7 (July 2011): 1294–303. http://dx.doi.org/10.1016/j.automatica.2011.01.034.

Повний текст джерела

Стилі APA, Harvard, Vancouver, ISO та ін.

37

Cuyper, Joris De, Michel Verhaegen, and Jan Swevers. "Off-line feed-forward and feedback control on a vibration rig." Control Engineering Practice 11, no. 2 (February 2003): 129–40. http://dx.doi.org/10.1016/s0967-0661(02)00103-x.

Повний текст джерела

Стилі APA, Harvard, Vancouver, ISO та ін.

38

Wang, Guo-Wen, Naofumi Fujiwara, and YUE BAO. "Feed-forward multilayer neural network model for vehicle lateral guidance control." Advanced Robotics 12, no. 7-8 (January 1997): 735–53. http://dx.doi.org/10.1163/156855399x00117.

Повний текст джерела

Стилі APA, Harvard, Vancouver, ISO та ін.

39

Wang, Zhihui, and Lixia Duan. "The combined effects of the thalamic feed-forward inhibition and feed-back inhibition in controlling absence seizures." Nonlinear Dynamics 108, no. 1 (January 13, 2022): 191–205. http://dx.doi.org/10.1007/s11071-021-07178-5.

Повний текст джерела

Стилі APA, Harvard, Vancouver, ISO та ін.

40

Pena Ramirez, J., and H. Nijmeijer. "Enforcing synchronization in oscillators with Huygens’ coupling via feed-forward control." Nonlinear Dynamics 98, no. 4 (June 22, 2019): 3009–23. http://dx.doi.org/10.1007/s11071-019-05062-x.

Повний текст джерела

Стилі APA, Harvard, Vancouver, ISO та ін.

41

Bharath, Y. K. "Griffiths’ Variable Learning Rate Online Sequential Learning Algorithm for Feed-Forward Neural Networks." Automatic Control and Computer Sciences 56, no. 2 (April 2022): 160–65. http://dx.doi.org/10.3103/s0146411622020031.

Повний текст джерела

Стилі APA, Harvard, Vancouver, ISO та ін.

42

Casavola, Alessandro, Emanuele Garone, and Francesco Tedesco. "Improved Feed-Forward Command Governor Strategies for Constrained Discrete-Time Linear Systems." IEEE Transactions on Automatic Control 59, no. 1 (January 2014): 216–23. http://dx.doi.org/10.1109/tac.2013.2270037.

Повний текст джерела

Стилі APA, Harvard, Vancouver, ISO та ін.

43

Chen, Y.-M., and K. F. Gill. "A Fuzzy Neural Controller Design for Use with a Non-Linear System." Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 210, no. 2 (May 1996): 141–50. http://dx.doi.org/10.1243/pime_proc_1996_210_446_02.

Повний текст джерела

Анотація:

The control scheme presented utilizes both feed-forward and feedback controller elements. The former of the two elements comprises a neural network with both an identification and control role, and the latter is a fuzzy neural algorithm which is introduced to provide additional control enhancement. The feed-forward controller provides only coarse control, whereas the feedback controller can generate on-line conditional proposition rules automatically to improve the overall control action. To evaluate the performance of the controller, a simulated robot manipulator study was undertaken and the results show how well the proposed controller can minimize the error between an actual and desired end-effector trajectory.

Стилі APA, Harvard, Vancouver, ISO та ін.

44

Kim, Yonghun, Hyunho Ye, Sun Lim, and Seok-Kyoon Kim. "Observer-Based Nonlinear Proportional–Integral–Integral Speed Control for Servo Drive Applications via Order Reduction Technique." Actuators 13, no. 1 (December 21, 2023): 2. http://dx.doi.org/10.3390/act13010002.

Повний текст джерела

Анотація:

This study designs an advanced single-loop output feedback system for speed servo drive applications, in which a simple proportional–integral–integral (PII) controller equipped with nonlinear feedback and feed-forward gains is formed. The resultant feedback system shows the desired critically damped performance for wide-operating regions by actively handling the system parameter and load uncertainties. There are three contributions: first, the third-order observer estimates, independent from the system model, where the speed and acceleration are obtained using the position measurement with the order reduction property; second, the observer-based PII controller is compensated by active damping with a nonlinearly structured feedback and feed-forward gains; and, third, a guarantee is achieved on the desired critically damped performance through a closed-loop analysis. A hardware testbed that adopts a 500 W brushless DC motor is used to experimentally demonstrate performance improvements over certain constant torque regions under various scenarios.

Стилі APA, Harvard, Vancouver, ISO та ін.

45

Qin, Wei, Xinke Wu, and Junming Zhang. "Current-Feed Single-Switch Forward Resonant DC Transformer (DCX) With Secondary Diode-Clamping." IEEE Transactions on Industrial Electronics 64, no. 10 (October 2017): 7790–99. http://dx.doi.org/10.1109/tie.2017.2696462.

Повний текст джерела

Стилі APA, Harvard, Vancouver, ISO та ін.

46

Kamat, D. V., P. V. Ananda Mohan, and K. Gopalakrishna Prabhu. "Active-RC filters using two-stage OTAs with and without feed-forward compensation." IET Circuits, Devices & Systems 5, no. 6 (2011): 527. http://dx.doi.org/10.1049/iet-cds.2011.0092.

Повний текст джерела

Стилі APA, Harvard, Vancouver, ISO та ін.

47

Burkan, Recep. "Design of an adaptive control law using trigonometric functions for robot manipulators." Robotica 23, no. 1 (January 2005): 93–99. http://dx.doi.org/10.1017/s0263574704000657.

Повний текст джерела

Анотація:

In this study, a new approach of adaptive control law for controlling robot manipulators using the Lyapunov based theory is derived, thus the stability of an uncertain system is guaranteed. The control law includes a PD feed forward part and a full dynamics feed forward compensation part with the unknown manipulator and payload parameters. The novelty of the obtained result is that an adaptive control algorithm is developed using trigonometric functions depending on manipulator kinematics, inertia parameters and tracking error, and both system parameters and adaptation gain matrix are updated in time.

Стилі APA, Harvard, Vancouver, ISO та ін.

48

Wu, Jianhua, Chao Liu, YongJiang Liu, Zhenhua Xiong, and Han Ding. "Force ripple compensation of the directly-driven linear motors via iterative tuning feed-forward controller." Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 233, no. 9 (February 7, 2019): 1239–47. http://dx.doi.org/10.1177/0959651819827707.

Повний текст джерела

Анотація:

Linear motors are promising in improving the manufacturing equipments’ performance because of eliminating the flexible coupling component. However, the force ripple produced by the linear motors directly causes the feed fluctuation and thus degrades the motion precision. This article utilizes a feed-forward controller added to the feedback one to compensate its effect for the sake of simplicity and robustness. Considering that the force ripple is periodic to the position, a position-dependent multi-order harmonic model is built and used as the feed-forward controller. In order to obtain the controller parameters for various applications, an iterative tuning method is proposed. This method has the advantage that both the high performance for different trajectories tracking and the robustness to disturbances are guaranteed. Experiments on a linear motor illustrate that the parameters converge rapidly. The results show that the tracking performance is improved greatly and the tracking errors are reduced by 60% at least.

Стилі APA, Harvard, Vancouver, ISO та ін.

49

Pfeiffer, Sven, Annika Eichler, and Holger Schlarb. "Model-based feed-forward control for time-varying systems with an example for SRF cavities." IFAC-PapersOnLine 53, no. 2 (2020): 1331–36. http://dx.doi.org/10.1016/j.ifacol.2020.12.1868.

Повний текст джерела

Стилі APA, Harvard, Vancouver, ISO та ін.

50

Bauer, Michel, and Oliver Sawodny. "Near time-optimal two-staged flatness based feed-forward control of a clutch filling process." IFAC-PapersOnLine 52, no. 15 (2019): 205–10. http://dx.doi.org/10.1016/j.ifacol.2019.11.675.

Повний текст джерела

Стилі APA, Harvard, Vancouver, ISO та ін.

Ми пропонуємо знижки на всі преміум-плани для авторів, чиї праці увійшли до тематичних добірок літератури. Зв'яжіться з нами, щоб отримати унікальний промокод!