Relevant bibliographies by topics / Sliding mode Control

Academic literature on the topic 'Sliding mode Control'

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Published: 4 June 2021
Last updated: 28 July 2024

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Journal articles on the topic "Sliding mode Control"

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Bartoszewicz, Andrzej, and Ron J. Patton. "Sliding Mode Control." International Journal of Adaptive Control and Signal Processing 21, no. 8-9 (2007): 635–37. http://dx.doi.org/10.1002/acs.996.

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Y.P., Patil. "Discrete Adaptive Model Following Sliding Mode Control Design for Improved Performance." Journal of Advanced Research in Dynamical and Control Systems 12, SP3 (February 28, 2020): 557–69. http://dx.doi.org/10.5373/jardcs/v12sp3/20201293.

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Song, Chonghui. "Optimal Control Algorithm of Constrained Fuzzy System Integrating Sliding Mode Control and Model Predictive Control." Mathematical Problems in Engineering 2015 (2015): 1–13. http://dx.doi.org/10.1155/2015/897853.

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The sliding mode control and the model predictive control are connected by the value function of the optimal control problem for constrained fuzzy system. New conditions for the existence and stability of a sliding mode are proposed. Those conditions are more general conditions for the existence and stability of a sliding mode. When it is applied to the controller design, the design procedures are different from other sliding mode control (SMC) methods in that only the decay rate of the sliding mode motion is specified. The obtained controllers are state-feedback model predictive control (MPC) and also SMC. From the viewpoint of SMC, sliding mode surface does not need to be specified previously and the sliding mode reaching conditions are not necessary in the controller design. From the viewpoint of MPC, the finite time horizon is extended to the infinite time horizon. The difference with other MPC schemes is that the dependence on the feasibility of the initial point is canceled and the control schemes can be implemented in real time. Pseudosliding mode model predictive controllers are also provided. Closed loop systems are proven to be asymptotically stable. Simulation examples are provided to demonstrate proposed methods.
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Hadi, Abdal-Razak Shehab, and Nadia Anees. "Robust Control for Buck dc to dc Converter by Using Double Integral Sliding Mode Control." NeuroQuantology 20, no. 1 (January 31, 2022): 217–22. http://dx.doi.org/10.14704/nq.2022.20.1.nq22259.

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In this paper, the performance concerning the sliding mode control approach for DC/DC converters is explored. The step-down kind switch regulator buck converter is used in many devices that utilize batteries as a source of power, such as laptops, electric vehicles and cell phones. Recently, it has been employed in renewable power processing, whereas it can gain maximum production power with high performance. In this work, a buck converter is developed with a proportional-integral-derivative sliding mode control (PID SMC) and a double complete sliding mode control (DISMC), and response for appropriate control parameters are determined. The performance parameters of the system have been tested and analyzed, demonstrating that DC to DC converter planned through the sliding mode control possess a speedy dynamic response and is so effective in many applications.
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Hirschorn, Ronald. "Sliding-Mode Control Variations." IEEE Transactions on Automatic Control 52, no. 3 (March 2007): 468–80. http://dx.doi.org/10.1109/tac.2007.892372.

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Bahraini, Masoud, Mohammad Javad Yazdanpanah, Shokufeh Vakili, and Mohammad Reza Jahed-Motlagh. "Sliding mode control revisited." Transactions of the Institute of Measurement and Control 42, no. 14 (June 8, 2020): 2698–707. http://dx.doi.org/10.1177/0142331220924861.

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Controller design for nonlinear systems in its general form is complicated and an open problem. Finding a solution to this problem becomes more complicated when unwanted terms, such as disturbance, are taken into account. To provide a robust design for a subclass of nonlinear systems, sliding mode controllers (SMCs) are used. These controllers have a systematic design procedure and can reject bounded disturbances and at the same time guarantee stability. The guaranteed stability is achieved by separating system states into two parts and assuming that the input to state stability (ISS) condition holds for internal dynamics. This condition restricts the applicability of the SMC and limits the system performance when the controller is designed based on that. In order to remove this restriction and improve the performance, the ISS condition has been relaxed in this study. The relaxation is performed by redesigning SMCs based on suggested Lyapunov functions. The proposed idea insures global asymptotic stability of the closed loop system and is used to revise different well-known SMCs such as conventional SMC, terminal SMC, non-singular terminal SMC, integral SMC, super-twisting SMC, and super-twisting integral SMC. Comparisons between conventional and revised versions are made using simulation to demonstrate excellence of the revisited controllers.
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ZHOU, FENGXI, and D. GRANT FISHER. "Continuous sliding mode control." International Journal of Control 55, no. 2 (February 1992): 313–27. http://dx.doi.org/10.1080/00207179208934240.

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Roopaei, Mehdi, Faridoon Shabaninia, and Paknosh Karimaghaee. "Iterative sliding mode control." Nonlinear Analysis: Hybrid Systems 2, no. 2 (June 2008): 256–71. http://dx.doi.org/10.1016/j.nahs.2006.04.013.

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Efimov, Denis, Andrey Polyakov, Leonid Fridman, Wilfrid Perruquetti, and Jean-Pierre Richard. "Delayed sliding mode control." Automatica 64 (February 2016): 37–43. http://dx.doi.org/10.1016/j.automatica.2015.10.055.

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Hirschorn, R. M. "Singular sliding-mode control." IEEE Transactions on Automatic Control 46, no. 2 (2001): 276–85. http://dx.doi.org/10.1109/9.905692.

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Dissertations / Theses on the topic "Sliding mode Control"

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Parisi, Aaron Thomas. "An Application of Sliding Mode Control to Model-Based Reinforcement Learning." DigitalCommons@CalPoly, 2019. https://digitalcommons.calpoly.edu/theses/2054.

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The state-of-art model-free reinforcement learning algorithms can generate admissible controls for complicated systems with no prior knowledge of the system dynamics, so long as sufficient (oftentimes millions) of samples are available from the environ- ment. On the other hand, model-based reinforcement learning approaches seek to leverage known optimal or robust control to reinforcement learning tasks by mod- elling the system dynamics and applying well established control algorithms to the system model. Sliding-mode controllers are robust to system disturbance and modelling errors, and have been widely used for high-order nonlinear system control. This thesis studies the application of sliding mode control to model-based reinforcement learning. Computer simulation results demonstrate that sliding-mode control is viable in the setting of reinforcement learning. While the system performance may suffer from problems such as deviations in state estimation, limitations in the capacity of the system model to express the system dynamics, and the need for many samples to converge, this approach still performs comparably to conventional model-free reinforcement learning methods.
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Sigfridsson, Jenny, and Josefin Frisk. "Robotstyrning med metoden Sliding Mode Control." Thesis, Linköping University, Department of Electrical Engineering, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-2813.

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The task in this thesis is the steering of one of Saab Bofors Dynamics robots using Sliding Mode Control, a method they never used before. The robot constitutes a system which in addition to perturbations and uncertainties due to modeling imprecision, hold the difficulty of being highly time variant. In order to be able to keep required performance with uncertainties and modeling imprecision present, the use of robust control methods like Sliding Mode Control is necessary. SMC is based on the states of the system being forced to stay on or in the direct vicinity of a hyper plane in the state space which is chosen in a way that gives the system dynamics desired properties. Other advantages with sliding mode are reduced order dynamics on the switching surface and total insensitivity to some uncertainties and perturbations. The existing metod for controlling the robot is Linear Quadratic Control. To evaluate the SMC-methodology and compare it with the existing solution simulations using SMC and LQ-control are made with uncertainties and modeling imprecision. Our tests show that a control law based on SMC is robust and seems to be a very good alternative to the existing solution.

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Shepit, Blaine M. "Mixed objective LQ/Sliding Mode Control." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape4/PQDD_0017/MQ49684.pdf.

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Venkataramanan, Ramanarayanan Middlebrook R. D. Ćuk Slobodan. "Sliding mode control of power converters /." Diss., Pasadena, Calif. : California Institute of Technology, 1986. http://resolver.caltech.edu/CaltechETD:etd-09222006-170253.

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Lee, Hoon. "Chattering suppression in sliding mode control system." Columbus, Ohio : Ohio State University, 2007. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1192823756.

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Sangwian, Sirirat. "Multivariable Sliding Mode Control for Aircraft Engines." Cleveland State University / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=csu1315587541.

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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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Yan, Zhang. "Control and observation of electric machines by sliding modes." Columbus, Ohio : Ohio State University, 2002. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1039227737.

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Thesis (Ph. D.)--Ohio State University, 2002.
Title from first page of PDF file. Document formatted into pages; contains xv, 156 p.; also includes graphics (some col.). Includes abstract and vita. Co-advisors: Vadim I. Utkin, Giorgio Rizzoni, Dept. of Electrical Engineering. Includes bibliographical references (p. 153-156).
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Chang, Hao-Chi. "Sliding mode control design based on block control principle /." The Ohio State University, 2002. http://rave.ohiolink.edu/etdc/view?acc_num=osu1486461246815228.

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Tiwari, Pyare Mohan. "Spacecraft attitude control using advanced sliding mode control techniques." Thesis, IIT Delhi, 2016. http://eprint.iitd.ac.in:80//handle/2074/8189.

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Books on the topic "Sliding mode Control"

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Sira-Ramírez, Hebertt. Sliding Mode Control. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-17257-6.

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Soo, Kim Kyung, Deepak Fulwani, and SpringerLink (Online service), eds. Sliding mode control using novel sliding surfaces. Berlin: Springer Verlag, 2009.

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Wilfrid, Perruquetti, and Barbot Jean Pierre 1958-, eds. Sliding mode control in engineering. New York: M. Dekker, 2002.

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Bandyopadhyay, Bijnan, Fulwani Deepak, and Kyung-Soo Kim. Sliding Mode Control Using Novel Sliding Surfaces. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03448-0.

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Utkin, Vadim Ivanovich. Sliding mode control in electromechanical systems. London: Taylor & Francis, 1999.

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Bartolini, Giorgio, Leonid Fridman, Alessandro Pisano, and Elio Usai, eds. Modern Sliding Mode Control Theory. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-79016-7.

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Shtessel, Yuri, Christopher Edwards, Leonid Fridman, and Arie Levant. Sliding Mode Control and Observation. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-0-8176-4893-0.

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Bandyopadhyay, Bijnan, and Abhisek K. Behera. Event-Triggered Sliding Mode Control. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-74219-9.

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Bandyopadhyay, B., S. Janardhanan, and Sarah K. Spurgeon, eds. Advances in Sliding Mode Control. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-36986-5.

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Derbel, Nabil, Jawhar Ghommam, and Quanmin Zhu, eds. Applications of Sliding Mode Control. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-2374-3.

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Book chapters on the topic "Sliding mode Control"

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Sira-Ramírez, Hebertt. "Introduction." In Sliding Mode Control, 1–36. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-17257-6_1.

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Sira-Ramírez, Hebertt. "Single-input single-output sliding mode control." In Sliding Mode Control, 37–87. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-17257-6_2.

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Sira-Ramírez, Hebertt. "Delta-Sigma Modulation." In Sliding Mode Control, 89–125. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-17257-6_3.

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Sira-Ramírez, Hebertt. "Multi-variable sliding mode control." In Sliding Mode Control, 127–63. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-17257-6_4.

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Sira-Ramírez, Hebertt. "An Input-Output approach to Sliding Mode Control." In Sliding Mode Control, 165–210. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-17257-6_5.

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Sira-Ramírez, Hebertt. "Differential flatness and sliding mode control." In Sliding Mode Control, 211–52. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-17257-6_6.

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Munje, Ravindra, Balasaheb Patre, and Akhilanand Tiwari. "Sliding Mode Control." In Energy Systems in Electrical Engineering, 79–91. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-3014-7_5.

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von Ellenrieder, Karl Dietrich. "Sliding Mode Control." In Control of Marine Vehicles, 489–526. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-75021-3_12.

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Zhao, Ling, Yuanqing Xia, Hongjiu Yang, and Jinhui Zhang. "Sliding Mode Control." In Pneumatic Servo Systems Analysis, 113–22. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-9515-5_9.

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Zhao, Ling, Yuanqing Xia, Hongjiu Yang, and Jinhui Zhang. "Sliding Mode Control." In Pneumatic Servo Systems Analysis, 71–84. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-9515-5_6.

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Conference papers on the topic "Sliding mode Control"

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Shah, M. Zamurad, M. Kemal Ozgoren, and Raza Samar. "Sliding mode based longitudinal guidance of UAVs." In 2014 UKACC International Conference on Control (CONTROL). IEEE, 2014. http://dx.doi.org/10.1109/control.2014.6915126.

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Shaik, Mukarram K., and James F. Whidborne. "Robust sliding mode control of a quadrotor." In 2016 UKACC 11th International Conference on Control (CONTROL). IEEE, 2016. http://dx.doi.org/10.1109/control.2016.7737529.

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Kamal, Shyam, Asif Chalanga, Ramesh Kumar P., and B. Bandyopadhyay. "Multivariable continuous integral sliding mode control." In 2015 International Workshop on Recent Advances in Sliding Modes (RASM 2015). IEEE, 2015. http://dx.doi.org/10.1109/rasm.2015.7154646.

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Shtessel, Y. B., and J. M. Buffington. "Continuous sliding mode control." In Proceedings of the 1998 American Control Conference (ACC). IEEE, 1998. http://dx.doi.org/10.1109/acc.1998.694732.

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Clemen, Layne, and Olugbenga Moses Anubi. "Weighted sliding mode control." In 2016 American Control Conference (ACC). IEEE, 2016. http://dx.doi.org/10.1109/acc.2016.7526697.

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Fengning Zhang. "Switched sliding mode control." In 2015 Chinese Automation Congress (CAC). IEEE, 2015. http://dx.doi.org/10.1109/cac.2015.7382780.

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Gomez, Marco A., Christopher D. Cruz-Ancona, and Leonid Fridman. "Safe Sliding Mode Control." In 2022 19th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE). IEEE, 2022. http://dx.doi.org/10.1109/cce56709.2022.9976026.

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Larbah, Eshag, and Ron J. Patton. "Robust decentralized control design using integral sliding mode control." In 2012 UKACC International Conference on Control (CONTROL). IEEE, 2012. http://dx.doi.org/10.1109/control.2012.6334610.

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Muhammad, Shah, and Muhammad Idrees. "Comparative study of hierarchical sliding mode control and decoupled sliding mode control." In 2017 12th IEEE Conference on Industrial Electronics and Applications (ICIEA). IEEE, 2017. http://dx.doi.org/10.1109/iciea.2017.8282952.

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Crassidis, Agamemnon, and Raul Mittmann Reis. "Model-Free Sliding Mode Control Method." In International Conference of Control, Dynamic Systems, and Robotics. Avestia Publishing, 2016. http://dx.doi.org/10.11159/cdsr16.100.

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Reports on the topic "Sliding mode 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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Wells, Scott R. Sliding Mode Control Applied to Reconfigurable Flight Control Design. Fort Belvoir, VA: Defense Technical Information Center, January 2002. http://dx.doi.org/10.21236/ada398917.

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Sagimori, Kenji, Mitsunobu Kajitani, Shinji Niwa, and Kenji Nakajima. Development of the EGR Control Using Sliding Mode Control. Warrendale, PA: SAE International, September 2005. http://dx.doi.org/10.4271/2005-08-0637.

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