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Journal articles on the topic 'Sliding mode Control'

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Published: 4 June 2021
Last updated: 28 July 2024

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1

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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2

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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3

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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4

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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5

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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6

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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7

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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8

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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9

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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10

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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11

Yang, J. N., J. C. Wu, A. M. Reinhorn, and M. Riley. "Control of Sliding-Isolated Buildings Using Sliding-Mode Control." Journal of Structural Engineering 122, no. 2 (February 1996): 179–86. http://dx.doi.org/10.1061/(asce)0733-9445(1996)122:2(179).

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12

Zhao, Bingjie, Yang Liu, Danping Jia, Tao Zhang, Hualiang Zhang, Hongyu Yan, and Xu Lu. "Application of Fuzzy Sliding Mode Control in Voice Coil Motor Control System." Journal of Physics: Conference Series 2281, no. 1 (June 1, 2022): 012009. http://dx.doi.org/10.1088/1742-6596/2281/1/012009.

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Abstract The requirements of modern industry on the response speed and accuracy of voice coil motors has been the gradual growth, and PID control algorithms have become increasingly unable to meet their requirements. The use of sliding mode control can speed up the response time of the motor, and it also can improve the response speed, overshoot and instability problems in some degree. However, the sliding mode control algorithm will bring jitter to the entire system. This paper combines fuzzy control and sliding mode control to adjust the parameters of the sliding mode control algorithm in real time, which greatly reduces the jitter problem caused by the sliding mode. According to the actual parameters of the voice coil motor, the transfer function of the voice coil motor is deduced, a simulation model of fuzzy sliding mode control is built, and the sliding mode control and fuzzy sliding mode control algorithms are compared. Finally, two signals of step and sine are used as inputs for simulation model. It can be seen through the simulation waveform that the fuzzy sliding mode control algorithm can improve the response speed of the control system and reduce the tracking error.
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13

Moura, Jairo Terra, Hakan Elmali, and Nejat Olgac. "Sliding Mode Control With Sliding Perturbation Observer." Journal of Dynamic Systems, Measurement, and Control 119, no. 4 (December 1, 1997): 657–65. http://dx.doi.org/10.1115/1.2802375.

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This work introduces a new robust motion control algorithm using partial state feedback for a class of nonlinear systems in the presence of modelling uncertainties and external disturbances. The effects of these uncertainties are combined into a single quantity called perturbation. The major contribution of this work comes as the development and design of a robust observer for the state and the perturbation which is integrated into a Variable Structure Controller (VSC) structure. The proposed observer combines the procedures of Sliding Observers (Slotine et al, 1987) with the idea of Perturbation Estimation (Elmali and Olgac, 1992). The result is what is called Sliding Perturbation Observer (SPO). The VSC follows the philosophy of Sliding Mode Control (SMC) (Slotine and Sastry, 1983). This combination of controller/observer gives rise to the new routine called Sliding Mode Control with Sliding Perturbation Observer (SMCSPO). The stability analysis shows how the algorithm parameters are scheduled in order to assure the sliding modes of both controller and observer. A simplified form of the general design procedure is also presented in order to ease the practical applications of SMCSPO. Simulations are presented for a two-link manipulator to verify the proposed approach. Experimental validation of the methodology is also performed on a PUMA 560 robot. A superior control performance is obtained over some full state feedback techniques such as SMC and Computed Torque Method.
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14

Chu, Victor K., and Masayoshi Tomizuka. "Sliding Mode Control with Nonlinear Sliding Surfaces." IFAC Proceedings Volumes 29, no. 1 (June 1996): 2877–82. http://dx.doi.org/10.1016/s1474-6670(17)58114-8.

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15

Itoh, T., T. Shimomura, and H. Okubo. "2B15 Semi-active Vibration Control of Smart Structures with Sliding Mode Control." Proceedings of the Symposium on the Motion and Vibration Control 2010 (2010): _2B15–1_—_2B15–11_. http://dx.doi.org/10.1299/jsmemovic.2010._2b15-1_.

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16

LEVANT, ARIE. "Sliding order and sliding accuracy in sliding mode control." International Journal of Control 58, no. 6 (December 1993): 1247–63. http://dx.doi.org/10.1080/00207179308923053.

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17

Laghrouche, Salah, Franck Plestan, and Alain Glumineau. "Higher order sliding mode control based on integral sliding mode." Automatica 43, no. 3 (March 2007): 531–37. http://dx.doi.org/10.1016/j.automatica.2006.09.017.

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18

Fallaha, Charles, and Maarouf Saad. "Model-based sliding functions design for sliding mode robot control." International Journal of Modelling, Identification and Control 30, no. 1 (2018): 48. http://dx.doi.org/10.1504/ijmic.2018.10014595.

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19

Chegini, Somayeh, and Majid Yarahmadi. "Quantum sliding mode control via error sliding surface." Journal of Vibration and Control 24, no. 22 (January 15, 2018): 5345–52. http://dx.doi.org/10.1177/1077546317752848.

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In this paper, a new quantum sliding mode control, for improving the performance of the two-level quantum sliding mode control systems with bounded uncertainties, is introduced. The presented quantum sliding surface is based on the error which occurs between the predetermined sliding mode and the system state. The control objective is to derive the system state to reach the sliding mode domain and then maintain its motion on it. For this purpose, we use the sliding mode control method and periodic projective measurements. A theorem for facilitating the presented method is proved. The simulated example shows that both the reaching time to the sliding mode and the control amplitude are significantly decreased, which demonstrate the effectiveness and validity of the presented method.
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20

de Assis dos Santos Neves, Francisco, Roberto Feliciano Dias Filho, Felipe C. Camboim, Marcelo Cabral Cavalcanti, and Emilio J. Bueno. "Discrete-time Sliding Mode Direct Power Control For Threephase Rectifiers." Eletrônica de Potência 15, no. 2 (May 1, 2010): 77–85. http://dx.doi.org/10.18618/rep.2010.2.077085.

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21

Chen, Ta-Tau, and Sung-Chun Kuo. "FUZZY SIMPLEX-TYPE SLIDING-MODE CONTROL." Transactions of the Canadian Society for Mechanical Engineering 37, no. 3 (September 2013): 375–83. http://dx.doi.org/10.1139/tcsme-2013-0027.

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In this paper, a novel fuzzy simplex sliding-mode controller is proposed for controlling a multivariable nonlinear system. The fuzzy logic control (FLC) algorithm and simplex sliding-mode control (SSMC) theory are integrated to form the fuzzy simplex sliding mode control (FSSMC) scheme which improves the system states response and reduces system states chattering phenomenon. In this paper, at first, we introduce the principle of simplex method, and then develop fuzzy controls based on the simplex method. Finally, a numerical example is proposed to illustrate the advantages of the proposed controllers, the simulation results demonstrate that the fuzzy simplex type sliding mode control scheme is a good solution to the chattering problem in the simplex sliding mode control.
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22

Dursun, Emre Hasan, and Akif Durdu. "Speed Control of a DC Motor with Variable Load Using Sliding Mode Control." International Journal of Computer and Electrical Engineering 8, no. 3 (2016): 219–26. http://dx.doi.org/10.17706/ijcee.2016.8.3.219-226.

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23

Sarmento Trindade, Filipe, Alfeu Joãozinho Sguarezi Filho, Rogério Vani Jacomini, and Ernesto Ruppert. "Sliding-mode Control For The Decoupled Power Control Of Doubly-fed Induction Generator." Eletrônica de Potência 19, no. 1 (February 1, 2014): 8–14. http://dx.doi.org/10.18618/rep.2014.1.008014.

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24

Chen, Ta Tau, and Sung Chun Kuo. "Fuzzy Simplex-Type Sliding-Mode Control." Applied Mechanics and Materials 284-287 (January 2013): 2244–48. http://dx.doi.org/10.4028/www.scientific.net/amm.284-287.2244.

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In this paper, a novel fuzzy simplex sliding-mode controller is proposed for controlling a multivariable nonlinear system. Here, the fuzzy logic control (FLC) algorithm and simplex sliding-mode control (SSMC) theory are integrated to improve the system states response and to reduce system states chattering phenomenon of the controlled system for simplex control method. Hence, from this motivation yields the so-called fuzzy simplex sliding mode control (FSSMC) scheme. the fuzzy logic control algorithm and simplex sliding mode control algorithm is integrated to improve the system states response and chattering phenomenon. In this paper, at first, we introduce the principle of simplex method, and then develop the fuzzy controls based on the simplex method. Finally, a numerical example is proposed to illustrate the advantages of the proposed controllers, the simulation results demonstrate that the fuzzy simplex type sliding mode control scheme is a good solution to the chattering problem in the simplex sliding mode control.
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25

Zhang, Jing Jun, Wei Sha Han, and Rui Zhen Gao. "Fuzzy Sliding Mode Control for Semi-Active Suspension System." Advanced Materials Research 268-270 (July 2011): 1595–600. http://dx.doi.org/10.4028/www.scientific.net/amr.268-270.1595.

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In Matlab/Simulink software semi-active suspension dynamic model of a quarter car is established and a sliding mode controller and a fuzzy sliding mode controller are designed. The fuzzy controller inputs are sliding mode switch function and its derivatives, and the output of absolute value is the sliding mode controller parameters. This fuzzy sliding mode controller chooses sliding mode controller and Skyhook as reference models and the simulation result shows that the stability of performance of the fuzzy sliding mode controller can effectively improve the driving smoothness and safety.
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26

Hušek, Petr. "Adaptive sliding mode control with moving sliding surface." Applied Soft Computing 42 (May 2016): 178–83. http://dx.doi.org/10.1016/j.asoc.2016.01.009.

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27

Xiang, Ji, Hongye Su, Jian Chu, and Wei Wei. "SLIDING SURFACE MATCHED CONDITION IN SLIDING MODE CONTROL." Asian Journal of Control 9, no. 3 (October 22, 2008): 345–51. http://dx.doi.org/10.1111/j.1934-6093.2007.tb00421.x.

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28

Lu, Yu-Sheng, and Chien-Wei Chiu. "Global sliding-mode control with generalized sliding dynamics." Asian Journal of Control 11, no. 4 (June 3, 2009): 449–56. http://dx.doi.org/10.1002/asjc.125.

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29

Sharma, Manu, and S. P. Singh. "Fuzzy Sliding Mode Control of Plate Vibrations." Shock and Vibration 17, no. 1 (2010): 71–92. http://dx.doi.org/10.1155/2010/952928.

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In this paper, fuzzy logic is meshed with sliding mode control, in order to control vibrations of a cantilevered plate. Test plate is instrumented with a piezoelectric sensor patch and a piezoelectric actuator patch. Finite element method is used to obtain mathematical model of the test plate. A design approach of a sliding mode controller for linear systems with mismatched time-varying uncertainties is used in this paper. It is found that chattering around the sliding surface in the sliding mode control can be checked by the proposed fuzzy sliding mode control approach. With presented fuzzy sliding mode approach the actuator voltage time response has a smooth decay. This is important because an abrupt decay can excite higher modes in the structure. Fuzzy rule base consisting of nine rules, is generated from the sliding mode inequality. Experimental implementation of the control approach verify the theoretical findings. For experimental implementation, size of the problem is reduced using modal truncation technique. Modal displacements as well as velocities of first two modes are observed using real-time kalman observer. Real time implementation of fuzzy logic based control has always been a challenge because a given set of rules has to be executed in every sampling interval. Results in this paper establish feasibility of experimental implementation of presented fuzzy logic based controller for active vibration control.
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30

Nugroho, Gesang, and Zahari Taha. "Helicopter Motion Control Using Model-Based Sliding Mode Controller." Journal of Advanced Computational Intelligence and Intelligent Informatics 12, no. 4 (July 20, 2008): 342–47. http://dx.doi.org/10.20965/jaciii.2008.p0342.

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This paper describes a model-based controller design for helicopter using the sliding mode approach. The controller design assumes that only measured output are available and uses sliding mode observer to estimate all states of the system. The estimated states are then used to construct a model reference sliding mode control law. Simulation shows good performance for lateral velocity, longitudinal velocity, vertical velocity and yaw rate control.
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31

Jonisha, Ms A. "Sliding Mode Control Of SMPS." IOSR Journal of Electrical and Electronics Engineering 4, no. 5 (2013): 1–11. http://dx.doi.org/10.9790/1676-0450111.

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32

Muñoz‐Vázquez, Aldo Jonathan, Guillermo Fernández‐Anaya, Fidel Meléndez‐Vázquez, and Juan Diego Sánchez Torres. "Generalised conformable sliding mode control." Mathematical Methods in the Applied Sciences 45, no. 3 (October 25, 2021): 1687–99. http://dx.doi.org/10.1002/mma.7883.

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33

Sekher, Malik, Mohammed M'Saad, Mondher Farza, and O. Gehan. "Chemical process sliding mode control." International Journal of Modelling, Identification and Control 5, no. 4 (2008): 260. http://dx.doi.org/10.1504/ijmic.2008.023510.

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34

Shahi, Mahmoud, and Mehdi Fallah Kazemi. "Adaptive sliding mode control approach." Transactions of the Institute of Measurement and Control 39, no. 1 (July 22, 2016): 86–95. http://dx.doi.org/10.1177/0142331215600777.

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35

Chen, Yi-feng, and Tsutomu Mita. "Adaptive Robust Sliding Mode Control." IEEJ Transactions on Electronics, Information and Systems 113, no. 3 (1993): 203–10. http://dx.doi.org/10.1541/ieejeiss1987.113.3_203.

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36

Zinober, A. S. I., and C. A. Woodham. "Sliding Mode Control Design Techniques." IFAC Proceedings Volumes 26, no. 2 (July 1993): 203–6. http://dx.doi.org/10.1016/s1474-6670(17)49109-9.

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37

Xu, J. X. "Sliding mode control in engineering." Automatica 39, no. 5 (May 2003): 951–54. http://dx.doi.org/10.1016/s0005-1098(03)00004-9.

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38

Watheq El-Kharashi, M., and M. A. Sheirah. "Tracking Fuzzy Sliding Mode Control." IFAC Proceedings Volumes 30, no. 6 (May 1997): 729–35. http://dx.doi.org/10.1016/s1474-6670(17)43452-5.

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39

Mei, Fei, Zhihong Man, and Xinghuo Yu. "Sliding mode control signal analysis." IFAC Proceedings Volumes 32, no. 2 (July 1999): 4118–22. http://dx.doi.org/10.1016/s1474-6670(17)56702-6.

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40

Ji-Chang Lo and Ya-Hui Kuo. "Decoupled fuzzy sliding-mode control." IEEE Transactions on Fuzzy Systems 6, no. 3 (1998): 426–35. http://dx.doi.org/10.1109/91.705510.

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41

Koshkouei, A. J., K. J. Burnham, and A. S. I. Zinober. "Dynamic sliding mode control design." IEE Proceedings - Control Theory and Applications 152, no. 4 (July 1, 2005): 392–96. http://dx.doi.org/10.1049/ip-cta:20055133.

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42

Sabanovic, Asif, Kenzo Wada, Hiroshi Morioka, and Karel Jezernik. "Chattering Free Sliding Mode Control." Transactions of the Japan Society of Mechanical Engineers Series C 60, no. 577 (1994): 3107–11. http://dx.doi.org/10.1299/kikaic.60.3107.

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43

Alvarez-Rodríguez, Sergio, Gerardo Flores, and Noé Alcalá Ochoa. "Variable Gains Sliding Mode Control." International Journal of Control, Automation and Systems 17, no. 3 (February 22, 2019): 555–64. http://dx.doi.org/10.1007/s12555-018-0095-9.

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44

Roy, Prasanta, Arindam Das, and Binoy Krishna Roy. "Cascaded fractional order sliding mode control for trajectory control of a ball and plate system." Transactions of the Institute of Measurement and Control 40, no. 3 (October 7, 2016): 701–11. http://dx.doi.org/10.1177/0142331216663826.

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This paper presents a comparative study between a sliding mode controller and a fractional order sliding mode controller applied to the problem of trajectory control of a ball in a ball and plate system. The ball and plate system is a well-known benchmark to test advanced control strategies because of its multivariable nonlinear coupled dynamics, open loop instability, parameter uncertainty, and under actuation. A cascaded sliding mode controller is initially designed to mitigate the problem. Furthermore, to improve the performance, a cascaded fractional order sliding mode controller is proposed. The proposed control strategies are experimentally validated on a ball and plate laboratory setup (Feedback Instruments Model No. 033-240). Simulation and experimental studies reveal that the fractional order sliding mode controller outperforms the sliding mode controller in terms of tracking accuracy, speed of response, chattering effect, and energy efficiency.
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45

Xu, Yaru, Rong Liu, Jia Liu, and Jiancheng Zhang. "A novel constraint tracking control with sliding mode control for industrial robots." International Journal of Advanced Robotic Systems 18, no. 4 (July 1, 2021): 172988142110297. http://dx.doi.org/10.1177/17298814211029778.

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As industrial robots are characterized by flexibility, load variation, and unknown interference, it is necessary to develop a control strategy with strong robustness and adaptability, fast convergence rate, and simple structure. Sliding mode control is a special method widely used to handle nonlinear robot control. However, the existing control law for sliding mode control has limitations in the chattering and convergence rate. The sliding mode manifold and reaching law are firstly discussed in this article. In the meanwhile, a proposed control law for sliding mode control combining linear sliding mode manifold and double-power reaching law is developed, which is based on the robot dynamic equation derived by the Udwadia–Kalaba theory. Furthermore, a compared control law for sliding mode control combining linear sliding mode manifold with exponential reaching law is presented to test the proposed control law for sliding mode control. The comparison indicates that the proposed law effectively improves the performance in convergence rate and the chattering of constraint tracking control. Finally, the two control laws for sliding mode control are applied to the Selective Compliance Articulated Robot Arm robot system with modeling error and uncertain external disturbance to demonstrate the merit and validation of the proposed scheme.
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46

Laghrouche, S., F. Plestan, and A. Glumineau. "Higher order sliding mode control based on optimal LQ control and integral sliding mode." IFAC Proceedings Volumes 37, no. 13 (September 2004): 597–602. http://dx.doi.org/10.1016/s1474-6670(17)31289-2.

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47

Ma, Haifeng, Jianhua Wu, and Zhenhua Xiong. "Discrete-Time Sliding-Mode Control With Improved Quasi-Sliding-Mode Domain." IEEE Transactions on Industrial Electronics 63, no. 10 (October 2016): 6292–304. http://dx.doi.org/10.1109/tie.2016.2580531.

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48

Lu, Yu-Sheng, and Xuan-Wen Wang. "Sliding-mode repetitive learning control with integral sliding-mode perturbation compensation." ISA Transactions 48, no. 2 (April 2009): 156–65. http://dx.doi.org/10.1016/j.isatra.2008.10.013.

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49

Adamiak, K., and A. Bartoszewicz. "Model Following Quasi-Sliding Mode Control Strategy." IFAC-PapersOnLine 53, no. 2 (2020): 6238–43. http://dx.doi.org/10.1016/j.ifacol.2020.12.1725.

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50

Li, Guiling, and Chen Peng. "Event-triggered-based adaptive sliding mode control for networked linear control systems." Transactions of the Institute of Measurement and Control 44, no. 10 (January 16, 2022): 2024–36. http://dx.doi.org/10.1177/01423312211068935.

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This paper investigates the robust stabilization of the adaptive sliding mode control for a class of linear systems subjected to external disturbance via event-triggered communication (ETC) scheme. First, in order to reduce the bandwidth utilization, a discrete ETC scheme is proposed and the networked sliding mode function is derived using the ETC scheme. Based on the derived sliding mode function, a reduced-order networked sliding mode dynamics with communication delay is established. Second, by constructing a Lyapunov–Krasovskii functional (LKF), asymptotic stability and stabilization criteria of the reduced-order sliding mode dynamics are given in the form of linear matrix inequalities. According to the stabilization result, a novel event-triggered-based adaptive sliding mode controller is designed while guaranteeing the reachability of the sliding surface. Finally, simulation results illustrate the effectiveness and merit of the developed method.
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