Academic literature on the topic 'Backstepping methods in control design'
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Journal articles on the topic "Backstepping methods in control design"
Han, Seongik. "Grey Wolf and Weighted Whale Algorithm Optimized IT2 Fuzzy Sliding Mode Backstepping Control with Fractional-Order Command Filter for a Nonlinear Dynamic System." Applied Sciences 11, no. 2 (January 6, 2021): 489. http://dx.doi.org/10.3390/app11020489.
Full textLiu, Jinglong, Jing Wen, Xiaoxiong Liu, and Qizhi He. "A Modified Backstepping Control and Dynamic Control Allocation Method for Command Tracking." Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University 36, no. 1 (February 2018): 117–23. http://dx.doi.org/10.1051/jnwpu/20183610117.
Full textKolsi-Gdoura, E., M. Feki, and N. Derbel. "Observer Based Robust Position Control of a Hydraulic Servo System Using Variable Structure Control." Mathematical Problems in Engineering 2015 (2015): 1–11. http://dx.doi.org/10.1155/2015/724795.
Full textBarros, João Dionísio Simões, Luis Rocha, and J. Fernando Silva. "Backstepping Control of NPC Multilevel Converter Interfacing AC and DC Microgrids." Energies 16, no. 14 (July 20, 2023): 5515. http://dx.doi.org/10.3390/en16145515.
Full textIsmail, S., A. A. Pashilkar, R. Ayyagari, and N. Sundararajan. "Diagonally dominant backstepping autopilot for aircraft with unknown actuator failures and severe winds." Aeronautical Journal 118, no. 1207 (September 2014): 1009–38. http://dx.doi.org/10.1017/s0001924000009726.
Full textNguyen, Vi H., and Thanh T. Tran. "A Novel Hybrid Robust Control Design Method for F-16 Aircraft Longitudinal Dynamics." Mathematical Problems in Engineering 2020 (September 22, 2020): 1–10. http://dx.doi.org/10.1155/2020/5281904.
Full textZhang, Chao, Xing Wang, Zhengfeng Ming, and Zhuang Cai. "Enhanced Nonlinear Robust Control for TCSC in Power System." Mathematical Problems in Engineering 2018 (2018): 1–11. http://dx.doi.org/10.1155/2018/1416059.
Full textRodríguez-Abreo, Omar, Juan Manuel Garcia-Guendulain, Rodrigo Hernández-Alvarado, Alejandro Flores Rangel, and Carlos Fuentes-Silva. "Genetic Algorithm-Based Tuning of Backstepping Controller for a Quadrotor-Type Unmanned Aerial Vehicle." Electronics 9, no. 10 (October 21, 2020): 1735. http://dx.doi.org/10.3390/electronics9101735.
Full textAli, Sadia, Alvaro Prado, and Mahmood Pervaiz. "Hybrid Backstepping-Super Twisting Algorithm for Robust Speed Control of a Three-Phase Induction Motor." Electronics 12, no. 3 (January 29, 2023): 681. http://dx.doi.org/10.3390/electronics12030681.
Full textZhang, Hua. "Neural Network Command Filtered Control of Fractional-Order Chaotic Systems." Computational Intelligence and Neuroscience 2021 (October 21, 2021): 1–15. http://dx.doi.org/10.1155/2021/8962251.
Full textDissertations / Theses on the topic "Backstepping methods in control design"
Shekar, Sadahalli Arjun. "ADAPTIVE CONTROL DESIGN FOR QUADROTORS." OpenSIUC, 2017. https://opensiuc.lib.siu.edu/dissertations/1472.
Full textDahlgren, Johan. "Robust nonlinear control design for a missile using backstepping." Thesis, Linköping University, Department of Electrical Engineering, 2002. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-1574.
Full textThis thesis has been performed at SAAB Bofors Dynamics. The purpose was to derive a robust control design for a nonlinear missile using backstepping. A particularly interesting matter was to see how different design choices affect the robustness. Backstepping is a relatively new design method for nonlinear systems which leads to globally stabilizing control laws. By making wise decisions in the design the resulting closed loop can receive significant robustness. The method also makes it possible to benefit from naturally stabilizing aerodynamic forces and momentums. It is based on Lyapunov theory and the control laws and a Lyapunov function are derived simultaneously. This Lyapunov function is used to guarantee stability. In this thesis the control laws for the missile are first derived by using backstepping. The missile dynamics are described with aerodynamic coeffcients with corresponding uncertainties. The robustness of the design w.r.t. the aerodynamic uncertainties is then studied further in detail. One way to analyze how the stability is affected by the errors in the coeffcients is presented. To improve the robustness and remove static errors, dynamics are introduced in the control laws by adding an integrator. One conclusion that has been reached is that it is hard to immediately determine how a certain design choice affects the robustness. Instead it is at the point when algebraic expressions for the closed loop system have been obtained, that it is possible to analyze the affects of a certain design choice. The designed control laws are evaluated by simulations which shows satisfactory results.
Henriquez, Acacio Alejandro Morales. "Flight control design for a flexible conceptual aircraft using backstepping technique." Instituto Tecnológico de Aeronáutica, 2011. http://www.bd.bibl.ita.br/tde_busca/arquivo.php?codArquivo=2170.
Full textMahmoud, Nawrous Ibrahim. "A Backstepping Design of a Control System for a Magnetic Levitation System." Thesis, Linköping University, Department of Electrical Engineering, 2003. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-1960.
Full textThe subject of this thesis is the design of a control law for a magnetic levitation system, which in this case is the system 33-210. The method used is backstepping technique and specifically adaptive observer backstepping due to parameter uncertainties and lack of access to all the states of the system. The second state of the system, the speed of the steel ball, was estimated by a reduced order observer. The model used gave us the opportunity to estimate a parameter which in the literature is denoted virtual control coefficient. Backstepping method gives us a rather straight forward way to design the controlling unit for a system with these properties. Stabilization of the closed-loop system is achieved by incorporating a Lypapunov function, which were chose a quadratic one in this thesis. If thederivative of this function is rendered negative definite by the control law, then we achieve stability. The results of the design were evaluated in simulations and real-time measurements by testing the tracking performance of the system. The simulation results were very promising and the validations in real-time were satisfying. Note that this has been done in previous studies; the new aspect here is the limitation of the voltage input. The real-time results showed that the parameter estimation converges only locally.
Kroeger, Kenneth Edward. "Design and Evaluation of a Fixed-Pitch Multirotor UAV with a Nonlinear Control Strategy." Thesis, Virginia Tech, 2013. http://hdl.handle.net/10919/23109.
Full textThe design of a multirotor UAV system with a flight control scheme, communication architecture and hardware, electrical architecture and hardware, and mechanical design is presented. An Extended Kalman Filter (EKF) strategy is implemented aboard a developed Inertial Measurement Unit (IMU) to estimate vehicle state. Experiments then validated the estimates from the EKF through a comparative approach between the developed unit and a commercial unit. A nonlinear flight control system is implemented based on an Integral-Backstepping control strategy. The flight control strategy was then fully simulated and exhaustively tested under a variety of external disturbances and initial conditions from a fully dynamic modeled environment. Parameters about the vehicle were experimentally determined to increase the accuracy of the model which would increase the chances of successful flight operations.
Flight demonstrations were conducted to evaluate the abilities and performance of the control system, along with testing the interface abilities and reliability between a universal ground control station (UGCS) and the aircraft. Lastly, the model was revisited with the input data from the flight control experiment and the output captured was evaluated against the output of the model system to evaluate effectiveness, reliability, and accuracy of the model. The results of the comparison showed that the computer simulation was accurate in predicting attitude and altitude of the vehicle to that of the realized system.
Master of Science
Isaksen, Trond Willi. "Discrete-Time Backstepping Design Applied to Position Tracking Control of an Electro-Pneumatic Clutch Actuator." Thesis, Norwegian University of Science and Technology, Department of Engineering Cybernetics, 2007. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-8743.
Full textThis thesis investigates different methods of backstepping controller design for an electro-pneumatic clutch actuator used in heavy duty trucks. The first part of the thesis is a literature study, where the subject is control of nonlinear-sampled data systems in general. Sampled-data systems contain a continuous-time plant and a digitally implemented controller, which in general make them harder to analyze and control than systems that operate purely in the continuous-time or discrete-time domain. The available theory of nonlinear sampled-data control systems is scarce, but three different methods are described in this thesis; emulation design, direct discrete-time design, and sampled-data design. The electro-pneumatic clutch actuator is controlled using a continuous-time backstepping controller implemented digitally. This is essentially the procedure of emulation design and is the common, if not only, method used in practical engineering tasks so far. However, redesign of the continuous-time controller using the direct discrete-time method shows great potential of improving performance and robustness of sampled-data systems. Direct discrete-time design is based on an approximate discrete-time model of the plant, giving the controller a structure that accounts for the sampling of the hybrid system. Potentially, one can utilize slower sampling in the system by implementing a discrete-time controller into the digial computer instead of a continuous-time one. Examples and case studies that prove the improvement one can achieve by chosing the direct discrete-time design is included in the first part of the thesis. Both a third- and fifth-order model of the electro-pneumatic clutch actuator are presented, and used as a basis for continuous- and discrete-time state-feedback backstepping controllers. These controllers are simulated with different sampling intervals to show their performance under different circumstances. The continuous-time controllers prove good reference trajectory tracking of the pure continuous-time system, while the performance of the sampled-data systems descends as higher sampling intervals are used. And, as opposed to the mentioned examples and case studies, the controller designed when taking the sampling into account shows no sign to outperform the controller that was designed without considering the sampling, at least not for the relative fast sampling the clutch actuator operates with.
Riccardo, Zanella Riccardo. "Decoupled Controllers for Mobile Manipulation with Aerial Robots : Design, Implementation and Test." Thesis, KTH, Skolan för elektro- och systemteknik (EES), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-187649.
Full textAkyürek, Emre. "Remote-controlled ambidextrous robot hand actuated by pneumatic muscles : from feasibility study to design and control algorithms." Thesis, Brunel University, 2015. http://bura.brunel.ac.uk/handle/2438/11671.
Full textBeren, Eric B. "Methods for optimization based fixed-order control design /." Online version, 1997. http://bibpurl.oclc.org/web/29659.
Full textGrace, A. C. W. "Computer-aided control system design using optimization methods." Thesis, Bangor University, 1989. https://research.bangor.ac.uk/portal/en/theses/computeraided-control-system-design-using-optimization-methods(077b2955-3ca3-4c71-99d8-003098f9c378).html.
Full textBooks on the topic "Backstepping methods in control design"
Rudra, Shubhobrata, Ranjit Kumar Barai, and Madhubanti Maitra. Block Backstepping Design of Nonlinear State Feedback Control Law for Underactuated Mechanical Systems. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-1956-2.
Full textPetersen, Ian R., Valery A. Ugrinovskii, and Andrey V. Savkin. Robust Control Design Using H-∞ Methods. London: Springer London, 2000. http://dx.doi.org/10.1007/978-1-4471-0447-6.
Full textGrimble, Michael J., and Vladimir Kučera, eds. Polynomial Methods for Control Systems Design. London: Springer London, 1996. http://dx.doi.org/10.1007/978-1-4471-1027-9.
Full textJ, Grimbke Michael, and Kučera Vladimír 1943-, eds. Polynomial methods for control systems design. London: Springer, 1996.
Find full textM, Gupta Madan, and Chen C. H. 1937-, eds. Adaptive methods for control system design. New York: Institute of Electrical and Electronics Engineers, 1986.
Find full textFacility, Dryden Flight Research, ed. Model reduction methods for control design. Edwards, Calif: National Aeronautics and Space Administration, Ames Research Center, Dryden Flight Research Facility, 1988.
Find full textBorggaard, Jeff, John Burns, Eugene Cliff, and Scott Schreck, eds. Computational Methods for Optimal Design and Control. Boston, MA: Birkhäuser Boston, 1998. http://dx.doi.org/10.1007/978-1-4612-1780-0.
Full text1948-, Johnson Michael A., Moradi Mohammad H. 1967-, and Crowe J, eds. PID control: New identification and design methods. New York: Springer, 2005.
Find full textModern control systems: A manual of design methods. Englewood Cliffs, NJ: Prentice-Hall International, 1986.
Find full textKokotović, Petar V. Singular perturbation methods in control: Analysis and design. London: Academic Press, 1986.
Find full textBook chapters on the topic "Backstepping methods in control design"
Wang, Lijun, Jiaxuan Yan, Tianyu Cao, and Ningxi Liu. "Manipulator Control Law Design Based on Backstepping and ADRC Methods." In Lecture Notes in Electrical Engineering, 261–69. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-8450-3_28.
Full textKocamaz, Uğur Erkin, Yilmaz Uyaroğlu, and Sundarapandian Vaidyanathan. "Control of Shimizu–Morioka Chaotic System with Passive Control, Sliding Mode Control and Backstepping Design Methods: A Comparative Analysis." In Advances and Applications in Chaotic Systems, 409–25. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-30279-9_17.
Full textWei, Yang, Haojun Xu, Yuan Xue, Zhe Li, and Hongfeng Tian. "Flight Path Angle Controller Design Based on Adaptive Backstepping Terminal Sliding Mode Control Method." In Lecture Notes in Electrical Engineering, 2466–79. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-3305-7_197.
Full textFreeman, Randy A., and Petar Kokotović. "Robust Backstepping." In Robust Nonlinear Control Design, 101–36. Boston, MA: Birkhäuser Boston, 2008. http://dx.doi.org/10.1007/978-0-8176-4759-9_5.
Full textStauter, Peter, Hubert Gattringer, Wolfgang Höbart, and Hartmut Bremer. "Passivity Based Backstepping Control of an Elastic Robot." In ROMANSY 18 Robot Design, Dynamics and Control, 315–22. Vienna: Springer Vienna, 2010. http://dx.doi.org/10.1007/978-3-7091-0277-0_37.
Full textMackenroth, Uwe. "Classical Design Methods." In Robust Control Systems, 63–84. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-662-09775-5_4.
Full textRamos, Germán A., Ramon Costa-Castelló, and Josep M. Olm. "Design Methods." In Digital Repetitive Control under Varying Frequency Conditions, 27–34. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-37778-5_4.
Full textRudra, Shubhobrata, Ranjit Kumar Barai, and Madhubanti Maitra. "Block Backstepping Control of the Underactuated Mechanical Systems." In Block Backstepping Design of Nonlinear State Feedback Control Law for Underactuated Mechanical Systems, 31–52. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-1956-2_3.
Full textVaidyanathan, Sundarapandian, Babatunde A. Idowu, and Ahmad Taher Azar. "Backstepping Controller Design for the Global Chaos Synchronization of Sprott’s Jerk Systems." In Chaos Modeling and Control Systems Design, 39–58. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-13132-0_3.
Full textAmato, Francesco, Massimiliano Mattei, Stefano Scala, and Leopoldo Verde. "Design via LQ methods." In Robust Flight Control, 444–63. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/bfb0113872.
Full textConference papers on the topic "Backstepping methods in control design"
Naseri, E., A. Ranjbar, and S. H. HosseinNia. "Backstepping Control of Fractional-Order Chen System." In ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/detc2009-86950.
Full textPeng Wu and Ming Yang. "Design of missile attitude controller based on backstepping method." In 2008 7th World Congress on Intelligent Control and Automation. IEEE, 2008. http://dx.doi.org/10.1109/wcica.2008.4593579.
Full textWu, Zhigang, and Yangmin Li. "Design of Control Strategy for a Novel Compliant Flexure-Based Microgripper With Two Jaws." In ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/detc2015-46869.
Full textHe, Jin-bao, Guo-jun Li, and Fang-xiang Cao. "Dynamic Terminal Sliding Mode Control Method Based on Backstepping Design." In 2010 International Conference on System Science, Engineering Design and Manufacturing Informatization (ICSEM). IEEE, 2010. http://dx.doi.org/10.1109/icsem.2010.18.
Full textZhao, Xinhua, Xue Wang, Litao Jing, and Kaiyan Niu. "Backstepping Control Design of Supercavitating Vehicles Based on Cascade Method." In 2021 IEEE 7th International Conference on Control Science and Systems Engineering (ICCSSE). IEEE, 2021. http://dx.doi.org/10.1109/iccsse52761.2021.9545103.
Full textTing, Liu, Jiang Nan, and Jing Yuanwei. "Nonlinear large disturbance attenuation controller design based on backstepping method." In 2013 25th Chinese Control and Decision Conference (CCDC). IEEE, 2013. http://dx.doi.org/10.1109/ccdc.2013.6560925.
Full textBu, Fanping, and Bin Yao. "Nonlinear Model Based Coordinated Adaptive Robust Control of Electro-Hydraulic Robotic Manipulators: Methods and Comparative Studies." In ASME 2001 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2001. http://dx.doi.org/10.1115/imece2001/dsc-24581.
Full textYe, Hui, Wentao Xue, and Xiaofei Yang. "Backstepping-Based Diving Control Design for Underactuated AUVs Combined with ILOS Method." In 2018 37th Chinese Control Conference (CCC). IEEE, 2018. http://dx.doi.org/10.23919/chicc.2018.8483805.
Full textVatankhah, Ramin, Mohammad Abediny, Hoda Sadeghian, and Aria Alasty. "Backstepping Boundary Control for Unstable Second-Order Hyperbolic PDEs and Trajectory Tracking." In ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/detc2009-87038.
Full textHelian, Bobo, Zheng Chen, Bin Yao, Yi Yan, and Chiang Lee. "Adaptive Robust Control of a Pump Control Hydraulic System." In ASME 2017 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/dscc2017-5076.
Full textReports on the topic "Backstepping methods in control design"
Steinberg, Marc L., and Anthony B. Page. Nonlinear Adaptive Flight Control with a Backstepping Design Approach. Fort Belvoir, VA: Defense Technical Information Center, January 1998. http://dx.doi.org/10.21236/ada350986.
Full textBorggaard, J. T., J. A. Burns, E. M. Cliff, and T. Iliescu. Computational Methods for Design, Control and Optimization. Fort Belvoir, VA: Defense Technical Information Center, October 2007. http://dx.doi.org/10.21236/ada472915.
Full textWatson, Layne T. Homotopy Methods in Control System Design and Analysis. Fort Belvoir, VA: Defense Technical Information Center, April 1992. http://dx.doi.org/10.21236/ada251641.
Full textRugh, Wilson J. Analysis and Design Methods for Nonlinear Control Systems. Fort Belvoir, VA: Defense Technical Information Center, March 1990. http://dx.doi.org/10.21236/ada221621.
Full textFrosch, Robert, Jacob Bice, and Jared Erickson. Design Methods for the Control of Restrained Shrinkage Cracking. West Lafayette, IN: Purdue University, 2006. http://dx.doi.org/10.5703/1288284313363.
Full textFrosch, Robert, Jacob Bice, and Jared Erickson. Design Methods for the Control of Restrained Shrinkage Cracking. West Lafayette, IN: Purdue University, 2006. http://dx.doi.org/10.5703/1288284313452.
Full textBall, Sydney J., Thomas L. Wilson Jr, and Richard Thomas Wood. Advanced Control and Protection system Design Methods for Modular HTGRs. Office of Scientific and Technical Information (OSTI), June 2012. http://dx.doi.org/10.2172/1047629.
Full textPhero, Timothy, Amey Khanolkar, Kiyo Fujimoto, James Smith, and Michael McMurtrey. Development of Quality Control Methods for Robust and Reliable Sensor Design. Office of Scientific and Technical Information (OSTI), October 2022. http://dx.doi.org/10.2172/1901810.
Full textDumbacher, S. Multivariable Methods for the Design, Identification and Control of Large Space Structures. Volume 2. Optimal. Fort Belvoir, VA: Defense Technical Information Center, July 1989. http://dx.doi.org/10.21236/ada226699.
Full textQamhia, Issam, and Erol Tutumluer. Evaluation of Geosynthetics Use in Pavement Foundation Layers and Their Effects on Design Methods. Illinois Center for Transportation, August 2021. http://dx.doi.org/10.36501/0197-9191/21-025.
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