Relevant bibliographies by topics / Proxy based sliding mode control

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Proxy based sliding mode control'

Author: Grafiati
Published: 4 June 2021
Last updated: 2 February 2022

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Journal articles on the topic "Proxy based sliding mode control"

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Kikuuwe, Ryo. "Some stability proofs on proxy-based sliding mode control." IMA Journal of Mathematical Control and Information 35, no. 4 (July 24, 2017): 1319–41. http://dx.doi.org/10.1093/imamci/dnx030.

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Zhao, Wei, Aiguo Song, and Yu Cao. "An Extended Proxy-Based Sliding Mode Control of Pneumatic Muscle Actuators." Applied Sciences 9, no. 8 (April 16, 2019): 1571. http://dx.doi.org/10.3390/app9081571.

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To solve the problem of controlling an intrinsically compliant actuator, pneumatic muscle actuator (PMA), this paper presents an extended proxy-based sliding mode control (EPSMC) strategy. It is well known that the chattering phenomenon of conventional sliding mode control (SMC) can be effectively solved by introducing a proxy between the physical object and desired position, which results in the so-called proxy-based sliding mode control (PSMC). To facilitate the theoretical analysis of PSMC and obtain a more general form of controller, a new virtual coupling and a SMC are used in our proposed EPSMC. For a class of second-order nonlinear system, the sufficient conditions ensuring the stability and passivity are obtained by using the Lyapunov functional method. Experiments on a real-time PMA control platform validate the effectiveness of the proposed method, and comparison studies also show the superiority of EPSMC over the conventional SMC, PSMC, and PID controllers.
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Van Damme, Michäel, Bram Vanderborght, Bjorn Verrelst, Ronald Van Ham, Frank Daerden, and Dirk Lefeber. "Proxy-based Sliding Mode Control of a Planar Pneumatic Manipulator." International Journal of Robotics Research 28, no. 2 (February 2009): 266–84. http://dx.doi.org/10.1177/0278364908095842.

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Kikuuwe, Ryo, Satoshi Yasukouchi, Hideo Fujimoto, and Motoji Yamamoto. "Proxy-Based Sliding Mode Control: A Safer Extension of PID Position Control." IEEE Transactions on Robotics 26, no. 4 (August 2010): 670–83. http://dx.doi.org/10.1109/tro.2010.2051188.

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Gu, Guo-Ying, Li-Min Zhu, Chun-Yi Su, Han Ding, and Sergej Fatikow. "Proxy-Based Sliding-Mode Tracking Control of Piezoelectric-Actuated Nanopositioning Stages." IEEE/ASME Transactions on Mechatronics 20, no. 4 (August 2015): 1956–65. http://dx.doi.org/10.1109/tmech.2014.2360416.

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Prieto, Pablo J., Ernesto Rubio, Luis Hernández, and Orlando Urquijo. "Proxy-based sliding mode control on platform of 3 degree of freedom (3-DOF)." Advanced Robotics 27, no. 10 (July 2013): 773–84. http://dx.doi.org/10.1080/01691864.2013.785471.

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Al-Shuka, Hayder F. N. "Proxy-Based Sliding Mode Vibration Control with an Adaptive Approximation Compensator for Euler-Bernoulli Smart Beams." Journal Européen des Systèmes Automatisés 53, no. 6 (December 23, 2020): 825–34. http://dx.doi.org/10.18280/jesa.530608.

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Proxy-based sliding mode control PSMC is an improved version of PID control that combines the features of PID and sliding mode control SMC with continuously dynamic behaviour. However, the stability of the control architecture maybe not well addressed. Consequently, this work is focused on modification of the original version of the proxy-based sliding mode control PSMC by adding an adaptive approximation compensator AAC term for vibration control of an Euler-Bernoulli beam. The role of the AAC term is to compensate for unmodelled dynamics and make the stability proof more easily. The stability of the proposed control algorithm is systematically proved using Lyapunov theory. Multi-modal equation of motion is derived using the Galerkin method. The state variables of the multi-modal equation are expressed in terms of modal amplitudes that should be regulated via the proposed control system. The proposed control structure is implemented on a simply supported beam with two piezo-patches. The simulation experiments are performed using MATLAB/SIMULINK package. The locations of piezo-transducers are optimally placed on the beam. A detailed comparison study is implemented including three scenarios. Scenario 1 includes disturbing the smart beam while no feedback loop is established (open-loop system). In scenario 2, a PD controller is applied on the vibrating beam. Whereas, scenario 3 includes implementation of the PSMC+AAC. For all previously mentioned scenarios, two types of disturbances are applied separately: 1) an impulse force of 1 N peak and 1 s pulse width, and 2) a sinusoidal disturbance with 0.5 N amplitude and 20 Hz frequency. For impulse disturbance signals, the results show the superiority of the PSMC+AAC in comparison with the conventional PD control. Whereas, both the PSMC+ACC and the PD control work well in the case of a sinusoidal disturbance signal and the superiority of the PSMC is not clear.
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Chen, Geng, Zhihao Zhou, Bram Vanderborght, Ninghua Wang, and Qining Wang. "Proxy-based sliding mode control of a robotic ankle-foot system for post-stroke rehabilitation." Advanced Robotics 30, no. 15 (May 4, 2016): 992–1003. http://dx.doi.org/10.1080/01691864.2016.1176601.

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Huang, Ming, Xinhan Huang, Xikai Tu, Zefang Li, and Yue Wen. "An online gain tuning proxy-based sliding mode control using neural network for a gait training robotic orthosis." Cluster Computing 19, no. 4 (September 17, 2016): 1987–2000. http://dx.doi.org/10.1007/s10586-016-0629-y.

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Zhao, Wei, and Aiguo Song. "Active Motion Control of a Knee Exoskeleton Driven by Antagonistic Pneumatic Muscle Actuators." Actuators 9, no. 4 (December 10, 2020): 134. http://dx.doi.org/10.3390/act9040134.

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The pneumatic muscle actuator (PMA) has been widely applied in the researches of rehabilitation robotic devices for its high power to weight ratio and intrinsic compliance in the past decade. However, the high nonlinearity and hysteresis behavior of PMA limit its practical application. Hence, the control strategy plays an important role in improving the performance of PMA for the effectiveness of rehabilitation devices. In this paper, a PMA-based knee exoskeleton based on ergonomics is proposed. Based on the designed knee exoskeleton, a novel proxy-based sliding mode control (PSMC) is introduced to obtain the accurate trajectory tracking. Compared with conventional control approaches, this new PSMC can obtain better performance for the designed PMA-based exoskeleton. Experimental results indicate good tracking performance of this controller, which provides a good foundation for the further development of assist-as-needed training strategies in gait rehabilitation.
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Dissertations / Theses on the topic "Proxy based sliding mode control"

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Hasturk, Ozgur. "The Stabilization Of A Two Axes Gimbal Of A Roll Stabilized Missile." Master's thesis, METU, 2011. http://etd.lib.metu.edu.tr/upload/12613591/index.pdf.

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Nowadays, high portion of tactical missiles use gimbaled seeker. For accurate target tracking, the platform where the gimbal is mounted must be stabilized with respect to the motion of the missile body. Line of sight stabilization is critical for fast and precise tracking and alignment. Although, conventional PID framework solves many stabilization problems, it is reported that many PID feedback loops are poorly tuned. In this thesis, recently introduced robot control method, proxy based sliding mode control, is adopted for the line of sight (LOS) stabilization. Before selecting the proposed method, adaptive neural network sliding mode control and fuzzy control are also implemented for comparative purposes. Experimental and simulation results show a satisfactory response of the proxy based sliding mode controller.
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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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Cakanel, Ahmet. "SELF-OPTIMIZATION SYSTEMS DESIGN BASED ON SLIDING MODE CONTROL." The Ohio State University, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=osu1511264100476327.

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Govindaswamy, Srinath. "Output sampling based sliding mode control for discrete time systems." Thesis, University of Kent, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.591931.

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This thesis concerns the development of output-based sliding mode control schemes for discrete time, linear time invariant systems. Unlike most of the work given in the literature in this area, the work is concemed with the development of static output feedback based discrete time sliding mode control schemes for non-minimum phase, non-square systems with arbitrary relative degree and which include unmatched uncertainties. The key concept of extended outputs in discrete time will be introduced. It will be shown that by identifying a minimal set of present and past outputs an augmented system can be obtained which permits the design of a sliding manifold based upon output information only, which renders the sliding manifold stable. Any transmission zeros of the augmented plant will also be shown to be among the transmission zeros of the original plant. It will also be shown that if the extended outputs chosen span the state zero directions of an invariant zero of the system, then the invariant zero disappears from the augmented system. Linear matrix inequalities are then used for sliding surface design. For non-minimum phase, non-square systems with unmatched uncertainties, it will be shown that in some cases the extended outputs can be chosen such that the effect of the disturbance on the sliding surface can be nullified. If this is possible, a procedure to obtain a Lyapunov matrix, which simultaneously satisfies a Riccati inequality and a structural constraint and which is used to formulate the control law that satisfies the reachability condition has been given. For the general case, where the sliding surface is a function of the disturbance, a control law will be chosen such that the effect of the disturbance on the augmented outputs and the sliding manifold will be minimized. Another key contribution of this work is the use of extended outputs for reconfigurable control under sensor loss. The reconfigurable control methodology presented in this work is in discrete time and is a static output feedback based control scheme, unlike most of the reconfigurable control schemes given in the literature which require an estimator and which are continuous time based schemes. Suitable examples, which include multiple sensor failures and a benchmark problem taken from the literature which represents the lateral dynamics of the F-14 aircraft, have been chosen to show the effectiveness of the proposed control design methodologies. - L Abstract T his thesis concerns the development of out put-based sliding mode control schemes for discrete time, linear time invariant systems. Unlike most of the work given in the literature in this area, the work is concerned with the development of static output feedback based discrete time sliding mode control schemes for non-minimum phase, non-square systems with arbitrary relative degree and which include unmatched uncertainties. The' key concept of extended outputs in discrete time will be introduced. It will be shown that by identifying a minimal set of present and past outputs an augmented system can be obtained which permits the design of a sliding manifold based upon output information only, which renders the sliding manifold stable. Any transmission zeros of the augmented plant will also be sho,wn to be among the transmission zeros of the original plant. It will also be shown that- if the extended outputs chosen span the state zero directions of an invariant zero of the system, then the invariant zero disappears from the augment.ed system. Linear matrix inequalities are then used for sliding surface design. For nonminimurn phase, non-square systems with unmatched uncertainties, it will be shown that in some cases the extended outputs can be chosen such ,that the effect of the disturbance on the sliding surface can be nullified. If this is possible, a procedure to obtain a Lyapunov matrix, which simultaneously satisfies a Riccati inequality and a structural constraint and which is used to formulate the control law t hat satisfies the reachability condit ion has been given. For the general case, where the sliding surface is a function of the disturbance, a control law will be chosen such that the effect of the disturbance on the augmented outputs and the sliding manifold will be minimized. Another key contribution of t his work is the use of extended outputs for reconfigurable control under sensor loss. The reconfigura~le control methodology presented in this work is in discrete time and is a static output feedback based control scheme, unlike most of t he reconfigurable control schemes given in the literature which require an estimator and which are continuous time based schemes. Suitable examples, which include multiple sensor failures and a benchmark problem taken from the literature which represents the lateral dynamics of the F-14 aircraft have been chosen to show the effectiveness of the proposed control design methodologies.
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Hasanaj, Edmir. "Experimental investigation of the boundary layer-based sliding mode control and single-input model-based sliding mode fuzzy logic control with applications to robot manipulators." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape4/PQDD_0019/MQ54109.pdf.

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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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Bin, Salamah Yasser. "Sliding Mode based Extremum Seeking Control for Multivariable and Distributed Optimization." The Ohio State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu15550794810081.

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Lienard, David E. "Autopilot design for autonomous underwater vehicles based on sliding mode control." Thesis, Monterey, California : Naval Postgraduate School, 1990. http://edocs.nps.edu/npspubs/scholarly/theses/1990/Jun/90Jun_Lienard.pdf.

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Thesis (M.S. in Mechanical Engineering and Mechanical Engineer)--Naval Postgraduate School, June 1990.
Thesis Advisor(s): Papoulias, Fotis A. ; Healey, Anthony J. "June 1990." Description based on title screen as viewed on 19 October 2009. DTIC Descriptor(s): Automatic Pilots, Control, Control Theory, Degrees Of Freedom, Depth Control, Guidance, Line Of Sight, Mathematical Models, Nonlinear Systems, Range (Extremes), Self Operation, Sliding, Underwater Vehicles, Velocity. DTIC Indicator(s): Autonomous, Underwater vehicles, Guidance, Control. Author(s) subject terms: Autonomous, Underwater vehicles, AUV, Guidance, Control. Includes bibliographical references (p. 116-117). Also available in print.
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Li, Yufeng. "High precision motion control based on a discrete-time sliding mode approach." Doctoral thesis, KTH, Machine Design, 2001. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-3293.

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Sudakar, Madhavan. "Novel control techniques for a quadrotor based on the Sliding Mode Controller." University of Cincinnati / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1613746605628363.

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Books on the topic "Proxy based sliding mode control"

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Mehta, Axaykumar, and Bijnan Bandyopadhyay. Frequency-Shaped and Observer-Based Discrete-time Sliding Mode Control. New Delhi: Springer India, 2015. http://dx.doi.org/10.1007/978-81-322-2238-5.

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Imine, Hocine. Sliding Mode Based Analysis and Identification of Vehicle Dynamics. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011.

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Zhen, Robert Ruo Yu. Robust position and force control of manipulators based on sliding mode. Ottawa: National Library of Canada, 1993.

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Palm, Rainer. Model based fuzzy control: Fuzzy gain schedulers and sliding mode fuzzy controllers. Berlin: Springer, 1997.

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Palm, Rainer. Model Based Fuzzy Control: Fuzzy Gain Schedulers and Sliding Mode Fuzzy Controllers. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997.

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Lu, Ziren. Sliding mode-based impedence control and force regulation. 1993.

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Advanced and Optimization Based Sliding Mode Control: Theory and Applications. Philadelphia: SIAM, 2019.

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Toda, Masayoshi. Robust Motion Control of Oscillatory-Base Manipulators: H∞-Control and Sliding-Mode-Control-Based Approaches. Springer, 2015.

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Hellendoorn, Hans, Dimiter Driankov, and Rainer Palm. Model Based Fuzzy Control: Fuzzy Gain Schedulers and Sliding Mode Fuzzy Controllers. Springer, 1996.

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Book chapters on the topic "Proxy based sliding mode control"

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Kashiri, Navvab, Nikos G. Tsagarakis, Michäel Van Damme, Bram Vanderborght, and Darwin G. Caldwell. "Proxy-Based Sliding Mode Control of Compliant Joint Manipulators." In Informatics in Control, Automation and Robotics, 241–57. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-26453-0_14.

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Ding, Guangzheng, Jian Huang, and Yu Cao. "Proxy Based Sliding Mode Control for a Class of Second-Order Nonlinear Systems." In Intelligent Robotics and Applications, 879–88. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-65292-4_76.

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Edgar N., Sanchez, Vega Carlos J., Suarez Oscar J., and Guanrong Chen. "Model-Based Sliding-Mode Control." In Nonlinear Pinning Control of Complex Dynamical Networks, 63–84. Boca Raton: CRC Press, 2021. http://dx.doi.org/10.1201/9781003181804-5.

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Ahmadieh Khanesar, Mojtaba, Okyay Kaynak, and Erdal Kayacan. "Rule-Based Sliding-Mode Fuzzy Logic Control." In Sliding-Mode Fuzzy Controllers, 89–102. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-69182-0_4.

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Bandyopadhyay, Bijnan, Fulwani Deepak, and Kyung-Soo Kim. "Integral Sliding Mode Based Composite Nonlinear Feedback Control." In Sliding Mode Control Using Novel Sliding Surfaces, 83–95. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03448-0_5.

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Shtessel, Yuri, Christopher Edwards, Leonid Fridman, and Arie Levant. "Disturbance Observer Based Control: Aerospace Applications." In Sliding Mode Control and Observation, 291–320. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-0-8176-4893-0_8.

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Fridman, Leonid, Alexander Poznyak, and Francisco Javier Bejarano. "Output Integral Sliding Mode Based Control." In Robust Output LQ Optimal Control via Integral Sliding Modes, 31–41. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-0-8176-4962-3_4.

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Liu, Jinkun, and Xinhua Wang. "Sliding Mode Control Based on Observer." In Advanced Sliding Mode Control for Mechanical Systems, 163–232. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-20907-9_8.

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Song, Yunzhong. "Sliding Mode Based He’non Mapping Control." In Lecture Notes in Electrical Engineering, 343–49. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-6496-8_32.

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Palm, Rainer, Hans Hellendoorn, and Dimiter Driankov. "Model Based Design of Sliding Mode FLC." In Model Based Fuzzy Control, 75–116. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-662-03401-9_3.

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Conference papers on the topic "Proxy based sliding mode control"

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Prieto, Pablo J., Ernesto Rubio, and Eduardo Izaguirre. "Proxy-Based Sliding Mode Control on a Pneumatic Platform." In 2019 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON). IEEE, 2019. http://dx.doi.org/10.1109/chilecon47746.2019.8987979.

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Liao, Yang, Zhihao Zhou, and Qining Wang. "BioKEX: A bionic knee exoskeleton with proxy-based sliding mode control." In 2015 IEEE International Conference on Industrial Technology (ICIT). IEEE, 2015. http://dx.doi.org/10.1109/icit.2015.7125087.

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Nishi, Fumito, and Seiichiro Katsura. "Ultrafine manipulation considering input saturation using proxy-based sliding mode control." In 2015 IEEE International Conference on Mechatronics (ICM). IEEE, 2015. http://dx.doi.org/10.1109/icmech.2015.7084035.

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Watanabe, Tatsuya, Ken'ichi Yano, Takaaki Aoki, and Yutaka Nishimoto. "Extension motion assistance for upper limb using Proxy-Based Sliding Mode Control." In 2011 IEEE International Conference on Systems, Man and Cybernetics - SMC. IEEE, 2011. http://dx.doi.org/10.1109/icsmc.2011.6084103.

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Ding, Guangzheng, Jian Huang, Bin Hu, and Zhi-Hong Guan. "Proxy-based sliding mode stabilization of a class of second-order nonlinear system." In 2017 11th Asian Control Conference (ASCC). IEEE, 2017. http://dx.doi.org/10.1109/ascc.2017.8287641.

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Nishiwaki, K., S. Hiramatsu, and K. Yano. "Tremor Suppression using Proxy-based Sliding-Mode Control for a Meal-Assist Robot." In Robotics. Calgary,AB,Canada: ACTAPRESS, 2010. http://dx.doi.org/10.2316/p.2010.703-041.

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Gong, Xinru, Lei Sun, and Jingtai Liu. "Proxy Based Sliding Mode Control for Series Elastic Actuator Based on Algebraic Identification and Motion Planning." In 2019 Chinese Control And Decision Conference (CCDC). IEEE, 2019. http://dx.doi.org/10.1109/ccdc.2019.8832935.

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Kashiri, Navvab, Nikos G. Tsagarakis, Michael Van Damme, Bram Vanderborght, and Darwin G. Caldwell. "Enhanced Physical Interaction Performance for Compliant Joint Manipulators using Proxy-based Sliding Mode Control." In 11th International Conference on Informatics in Control, Automation and Robotics. SCITEPRESS - Science and and Technology Publications, 2014. http://dx.doi.org/10.5220/0005063201750183.

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Van Damme, M., B. Vanderborght, R. Van Ham, B. Verrelst, F. Daerden, and D. Lefeber. "Proxy-Based Sliding Mode Control of a Manipulator Actuated by Pleated Pneumatic Artificial Muscles." In 2007 IEEE International Conference on Robotics and Automation. IEEE, 2007. http://dx.doi.org/10.1109/robot.2007.364150.

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Peng, Zengqi, and Jian Huang. "Improved Proxy-based Sliding Mode Control Integrated Adaptive Dynamic Programming For Pneumatic Muscle Actuators." In 2021 6th IEEE International Conference on Advanced Robotics and Mechatronics (ICARM). IEEE, 2021. http://dx.doi.org/10.1109/icarm52023.2021.9536081.

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