Relevant bibliographies by topics / Adaptive discrete-time sliding mode

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

Academic literature on the topic 'Adaptive discrete-time sliding mode'

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Published: 6 September 2023

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Journal articles on the topic "Adaptive discrete-time sliding mode"

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WATANABE, Kenichirou, Kenzo WADA, and Fumitake FUJII. "Discrete-Time Sliding Mode Control with Adaptive Sliding Surface." Proceedings of Conference of Chugoku-Shikoku Branch 2004.42 (2004): 177–78. http://dx.doi.org/10.1299/jsmecs.2004.42.177.

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Sharma, Nalin Kumar, Spandan Roy, S. Janardhanan, and I. N. Kar. "Adaptive Discrete-Time Higher Order Sliding Mode." IEEE Transactions on Circuits and Systems II: Express Briefs 66, no. 4 (April 2019): 612–16. http://dx.doi.org/10.1109/tcsii.2018.2849975.

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Pieper, Jeff K. "A Discrete Time Adaptive Sliding Mode Controller." IFAC Proceedings Volumes 29, no. 1 (June 1996): 5227–31. http://dx.doi.org/10.1016/s1474-6670(17)58511-0.

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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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Semba, Tetsuo, and Katsuhisa Furuta. "Discrete-time adaptive control using a sliding mode." Mathematical Problems in Engineering 2, no. 2 (1996): 131–42. http://dx.doi.org/10.1155/s1024123x96000270.

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Adaptive control using a sliding mode in discrete time systems is proposed as a means of achieving robustness with respect to parameter variations, fast tracking to a desired trajectory, and fast parameter convergence, without increasing the chattering of the control inputs. We first prove the stability of a system in which the control inputs consist of equivalent control driven by the adaptive control law and bounded discontinuous control. The discontinuous control driven by the sliding control law is then obtained so that the output error quickly converges to zero. Finally, the performance improvements obtained by adding the sliding mode control input are shown through computer simulations.
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Jin, Shanhai, Yonggao Jin, Xiaodan Wang, and Xiaogang Xiong. "Discrete-Time Sliding Mode Filter with Adaptive Gain." Applied Sciences 6, no. 12 (December 1, 2016): 400. http://dx.doi.org/10.3390/app6120400.

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Bartolini, G., A. Ferrara, and V. I. Utkin. "Adaptive sliding mode control in discrete-time systems." Automatica 31, no. 5 (May 1995): 769–73. http://dx.doi.org/10.1016/0005-1098(94)00154-b.

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Yang, Rong Jun, and Yun Guo Shi. "Guided Rocket Control System Design Based on Discrete-Time Adaptive Sliding Mode." Applied Mechanics and Materials 541-542 (March 2014): 1159–63. http://dx.doi.org/10.4028/www.scientific.net/amm.541-542.1159.

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The discrete-time adaptive sliding mode controller for spinning rockets in presence of parameter error is proposed. Considering the nonlinear characteristics for the system, input-output feedback linearization is utilized to transform the system model into two standard form subsystems. Then a discrete-time controller for guided rockets is designed based on discrete-time sliding mode control principle. In order to diminish the switch width of the discrete-time sliding mode system corresponding to parameter error, a dead-zone parameter adaptive law is designed. The stability of the uncertain closed-loop system is proved by Lyapunov theory, which make the controller have high robustness. Simulation result indicates that the proposed controller is robust with respect to large aerodynamic parametric uncertainty, and has excellent dynamic tracking performance.
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Dehri, Khadija, and Ahmed Said Nouri. "A discrete repetitive adaptive sliding mode control for DC-DC buck converter." Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 235, no. 9 (March 29, 2021): 1698–708. http://dx.doi.org/10.1177/09596518211005576.

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The problem of sensitivity to uncertainties and disturbances is still a challenging task in the theory of discrete sliding mode controller. In this article, a discrete repetitive adaptive sliding mode control using only input-output measurements of linear time-varying system with periodic disturbances is proposed. A new indirect adaptive algorithm taken into account the periodicity of disturbances is used to identify parameter variations of the considered system. Based on this identification, discrete sliding mode controller is developed. Then, the structure of plug-in repetitive control is integrated into the previous controller to reject harmonic disturbances. A robustness analysis is achieved to ensure the asymptotic stability of the proposed controller. An example of time-varying DC-DC buck converter subject to harmonic disturbances is carried out to illustrate the effectiveness of the designed discrete repetitive adaptive sliding mode control.
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Zhong, Hua, Junhong Yu, and Hanzheng Ran. "Characteristic Model-Based Discrete Adaptive Sliding Mode Control for System with Time Delay." International Journal of Automation Technology 10, no. 2 (March 4, 2016): 282–87. http://dx.doi.org/10.20965/ijat.2016.p0282.

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A novel characteristic model-based discrete sliding mode control (CMDSMC) for time delay system is presented in this paper. Firstly, to solve the challenge of establishing a accurate and simple model for time delay system, characteristic theory is applied to establish characteristic mode with time delay. Secondly, due to the uncertainties of time delay system, discrete sliding mode control based on characteristic model is proposed and stability analysis is done. At last, two illustrative examples taken from literatures are included to indicate the simplicity and superiority of the proposed method.
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Dissertations / Theses on the topic "Adaptive discrete-time sliding mode"

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Algarawi, Mohammed. "Non-linear discrete-time observer design by sliding mode." Thesis, Brunel University, 2007. http://bura.brunel.ac.uk/handle/2438/5072.

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Research into observer design for non-linear discrete-time systems has produced many design methods. There is no general design method however and that provides the motivation to search for a new simple and realizable design method. In this thesis, an observer for non-linear discrete-time systems is designed using the sliding mode technique. The equation of the observer error is split into two parts; the first part being a linearized model of the system and the second part an uncertain vector. The sliding mode technique is introduced to eliminate the uncertainty caused by the uncertain vector in the observer error equation. By choosing the sliding surface and the boundary layer, the observer error is attracted to the sliding surface and stays within the sliding manifold. Therefore, the observer error converges to zero. The proposed technique is applied to two cases of observers for nonlinear discrete-time systems. The second case is chosen to be a particular practical system, namely the non-linear discrete-time ball and beam system. The simulations show that the sliding mode technique guarantees the convergence of the observer error for both systems.
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Koshkouei, Ali Jafari. "Continuous and discrete-time sliding mode control design techniques." Thesis, University of Sheffield, 1997. http://etheses.whiterose.ac.uk/15037/.

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Sliding mode control is a well-known approach to the problem of the control of uncertain systems, since it is invariant to a class of parameter variations. Well-established investigations have shown that the sliding mode controller/ observer is a good approach from the point of view of robustness, implementation, numerical stability, applicability, ease of design tuning and overall evaluation. In the sliding mode control approach, the controller and/ or observer is designed so that the state trajectory converges to a surface named the sliding surface. It is desired to design the sliding surface so that the system stability is achieved. Many new methods and design techniques for the sliding controller/ observer are presented in this thesis. LQ frequency shaping sliding mode is a way of designing the sliding surface and control. By using this method, corresponding to the weighting functions in conventional quadratic performance, a compensator can be designed. The intention of observer design is to find an estimate for the state and, if the input is unknown, estimate a suitable input. Using the sliding control input form, a suitable estimated input can be obtained. The significance of the observer design method in this thesis is that a discontinuous observer for full order systems, including disturbance inputs, is designed. The system may not be ideally in the sliding mode and the uncertainty may not satisfy the matching condition. In discrete-time systems instead of having a hyperplane as in the continuous case, there is a countable set of points comprising a so-called lattice; and the surface on which these sliding points lie is named the latticewise hyperplane. Control and observer design using the discrete-time sliding mode, the robust stability of the sliding mode dynamics and the problem of stabilization of discrete-time systems are also studied. The sliding mode control of time-delay systems is also considered. Time-delay sliding system stability is studied for the cases of full information about the delay and also lack of information. The sliding surface is delay-independent as for the traditional sliding surface, and the reaching condition is achieved by applying conventional discontinuous control. A well-known method of control design is to specify eigenvalues in a region in the left-hand half-plane, and to design the gain feedback matrix to yield these eigenvalues. This method can also be used to design the sliding gain matrix. The regions considered in this thesis are, a sector, an infinite vertical strip, a disc, a hyperbola and the intersection ii of two sectors. Previous erroneous results are rectified and new theory developed. The complex Riccati equation, positivity of a complex matrix and the control of complex systems are significant problems which arise in many control theory problems and are discussed in this thesis.
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Singh, Satnesh. "Discrete-time stochastic sliding mode control using functional observation." Thesis, IIT Delhi, 2019. http://eprint.iitd.ac.in:80//handle/2074/8122.

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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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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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Wang, Bin, and s3115026@student rmit edu au. "On Discretization of Sliding Mode Control Systems." RMIT University. Electrical and Computer Engineering, 2008. http://adt.lib.rmit.edu.au/adt/public/adt-VIT20080822.145013.

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Sliding mode control (SMC) has been successfully applied to many practical control problems due to its attractive features such as invariance to matched uncertainties. The characteristic feature of a continuous-time SMC system is that sliding mode occurs on a prescribed manifold, where switching control is employed to maintain the state on the surface. When a sliding mode is realized, the system exhibits some superior robustness properties with respect to external matched uncertainties. However, the realization of the ideal sliding mode requires switching with an infinite frequency. Control algorithms are now commonly implemented in digital electronics due to the increasingly affordable microprocessor hardware although the essential conceptual framework of the feedback design still remains to be in the continuous-time domain. Discrete sliding mode control has been extensively studied to address some basic questions associated with the sliding mode control of discrete-time systems with relatively low switching frequencies. However, the complex dynamical behaviours due to discretization in continuous-time SMC systems have not yet been fully explored. In this thesis, the discretization behaviours of SMC systems are investigated. In particular, one of the most frequently used discretization schemes for digital controller implementation, the zero-order-holder discretization, is studied. First, single-input SMC systems are discretized, stability and boundary conditions of the digitized SMC systems are derived. Furthermore, some inherent dynamical properties such as periodic phenomenon, of the discretized SMC systems are studied. We also explored the discretization behaviours of the disturbed SMC systems. Their steady-state behaviours are discussed using a symbolic dynamics approach under the constant and periodic matched uncertainties. Next, discretized high-order SMC systems and sliding mode based observers are explored using the same analysis method. At last, the thesis investigates discretization effects on the SMC systems with multiple inputs. Some conditions are first derived for ensuring the
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Lai, Nai One. "Robust discrete time output feedback sliding mode control with application to aircraft systems." Thesis, University of Leicester, 2005. http://hdl.handle.net/2381/30228.

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This thesis describes the development of robust discrete time sliding mode controllers where only output information is available. A connection between discrete time sliding mode controllers and so-called min-max controllers is described. New conditions for the existence of stabilizing output feedback discrete time sliding mode controllers are given for non-square systems with bounded matched uncertainties. A novel sliding surface is described; this in itself is not realizable through outputs alone, but it gives rise to a control law which depends only on outputs. An explicit procedure is also described which shows how a Lyapunov matrix, which satisfies both a discrete Riccati inequality and a structural constraint, can be obtained using LMI optimization. This Lyapunov matrix is used to calculate the robustness bounds associated with the closed-loop system.;For systems which are not static output feedback stabilisable, a compensation scheme is proposed and a dynamic output feedback discrete time sliding mode controller is described with a simple parameterisation of the available design freedom.;Initially, a regulation problem, to drive all plant states to zero, is considered. Then a new scheme which incorporates tracking control using integral action is proposed for both the static and dynamic output feedback discrete time sliding mode controller. The scheme requires only that the plant has no poles or zeros at the origin and therefore with an appropriate choice of surface, the controller can be applied to non-minimum phase systems.;The theory described is demonstrated for various engineering systems including implementation on a DC-motor rig in real-time and simulations on a nonlinear, non-minimum phase model of a Planar Vertical Take-Off and Landing aircraft. The effectiveness of the controller is further proven by its application for control of the longitudinal dynamics of a detailed combat aircraft model call the high Incidence Research Model, a benchmark problem used by the Group for Aeronautical Research and Technology in Europe. Simulations with real-time pilot input commands have been carried out on a Real Time All Vehicle Simulator and good results obtained.
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Aitken, Victor C. (Victor Charles) Carleton University Dissertation Engineering Systems and Computer. "Sliding mode state estimation for nonlinear discrete-time systems; applications in image sequence analysis." Ottawa, 1995.

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Godoi, Dias Milena Sabrina [Verfasser]. "Discrete time sliding mode control strategies applied to a multiphase brushless DC machine / Milena Sabrina Godoi Dias." Kassel : Kassel University Press, 2017. http://d-nb.info/1138291099/34.

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Barbosa, William de Souza. "Controle de um sistema de eletroestimulação funcional." Universidade do Estado do Rio de Janeiro, 2014. http://www.bdtd.uerj.br/tde_busca/arquivo.php?codArquivo=8133.

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Esta Dissertação irá apresentar a utilização de técnicas de controle nãolinear, tais como o controle adaptativo e robusto, de modo a controlar um sistema de Eletroestimulação Funcional desenvolvido pelo laboratório de Engenharia Biomédica da COPPE/UFRJ. Basicamente um Eletroestimulador Funcional (Functional Electrical Stimulation FES) se baseia na estimulação dos nervos motores via eletrodos cutâneos de modo a movimentar (contrair ou distender) os músculos, visando o fortalecimento muscular, a ativação de vias nervosas (reinervação), manutenção da amplitude de movimento, controle de espasticidade muscular, retardo de atrofias e manutenção de tonicidade muscular. O sistema utilizado tem por objetivo movimentar os membros superiores através do estímulo elétrico de modo a atingir ângulos-alvo pré-determinados para a articulação do cotovelo. Devido ao fato de não termos conhecimento pleno do funcionamento neuro-motor humano e do mesmo ser variante no tempo, não-linear, com parâmetros incertos, sujeito a perturbações e completamente diferente para cada indivíduo, se faz necessário o uso de técnicas de controle avançadas na tentativa de se estabilizar e controlar esse tipo de sistema. O objetivo principal é verificar experimentalmente a eficácia dessas técnicas de controle não-linear e adaptativo em comparação às técnicas clássicas, de modo a alcançar um controle mais rápido, robusto e que tenha um desempenho satisfatório. Em face disso, espera-se ampliar o campo de utilização de técnicas de controle adaptativo e robusto, além de outras técnicas de sistemas inteligentes, tais como os algoritmos genéticos, provando que sua aplicação pode ser efetiva no campo de sistemas biológicos e biomédicos, auxiliando assim na melhoria do tratamento de pacientes envolvidos nas pesquisas desenvolvidas no Laboratório de Engenharia Biomédica da COPPE/UFRJ.
This dissertation will present the use of nonlinear control techniques, such as adaptive and robust control in order to design a Functional Electrical Stimulation (FES) system developed by Biomedical Engineering Laboratory at COPPE/UFRJ. Basically, a FES on the stimulation of motor nerves via skin electrodes in order to contract or stretch the muscles such that the amplitude and quality of the limbs movement can be maintained, reducing muscular atrophy as well. Consequently, the muscle strength can be improved and new neural pathways may be activated. Here, the goals of the proposed control system is to move the arm of the patient via electrical stimulation to achieve some desired trajectory related to the elbow angles of reference. Since we have a priori no deep knowledge of human neuro-motor model, the use of advanced and robust control schemes seems to be useful to stabilize this kind of systems which may be completely different for each individual, being time-varying, nonlinear, uncertain and subject to disturbances. The main objective is to experimentally verify the effectiveness of the proposed nonlinear and adaptive controllers when compared to classical ones in order to achieve faster, robust and better control performance. It is expected to spread the application of adaptive and robust controllers and other intelligent system tools, such as genetic algorithms, to the field of biological and biomedical engineering. Thus, we believe that the developed control system may help the improvement of the patients treatment involved in the research carried out by Biomedical Engineering Laboratory at COPPE/UFRJ.
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Books on the topic "Adaptive discrete-time sliding mode"

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Sharma, Nalin Kumar, and Janardhanan Sivaramakrishnan. Discrete-Time Higher Order Sliding Mode. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-00172-8.

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Patel, Keyurkumar, and Axaykumar Mehta. Discrete-Time Sliding Mode Protocols for Discrete Multi-Agent System. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-6311-9.

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Shah, Dipesh H., and Axaykumar Mehta. Discrete-Time Sliding Mode Control for Networked Control System. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-7536-0.

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Singh, Satnesh, and S. Janardhanan. Discrete-Time Stochastic Sliding Mode Control Using Functional Observation. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-32800-9.

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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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Qayyum, S. Application of discrete time sliding mode control using derivative feedback. London: Universityof East London, 1995.

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India) IEEE International Workshop on Variable Structure Systems (12th 2012 Mumbai. 2012 12th International Workshop on Variable Structure Systems (VSS 2012): Mumbai, Maharashtra, India, 12-14 January 2012. Piscataway, NJ: IEEE, 2012.

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Mexico) IEEE International Workshop on Variable Structure Systems (11th 2010 Mexico City. 2010 11th International Workshop on Variable Structure Systems (VSS 2010): Mexico City, Mexico, 26-28 June 2010. Piscataway, NJ: IEEE, 2010.

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Discrete-time Sliding Mode Control. Berlin/Heidelberg: Springer-Verlag, 2006. http://dx.doi.org/10.1007/11524083.

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Li, Li, Ahmadreza Argha, Steven Su, Hung Tan Nguyen, and Branko George Celler. Advances in Discrete-Time Sliding Mode Control. Taylor & Francis Group, 2020.

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Book chapters on the topic "Adaptive discrete-time sliding mode"

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Sharma, Nalin Kumar, and Janardhanan Sivaramakrishnan. "Adaptive Discrete-Time Higher Order Sliding Mode." In Discrete-Time Higher Order Sliding Mode, 71–81. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00172-8_5.

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Zhao, Dongya, Sarah K. Spurgeon, and Xinggang Yan. "An Adaptive Finite Time Sliding Mode Observer." In New Perspectives and Applications of Modern Control Theory, 523–38. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-62464-8_19.

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Mondal, Sanjoy, Jawhar Ghommam, and Maarouf Saad. "An Adaptive Finite-Time Consensus Control for Higher-Order Nonlinear Multi-agent Systems." In Applications of Sliding Mode Control, 191–213. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-2374-3_11.

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Wu, Baoju, Shuo Li, and Xiaohui Wang. "Discrete-Time Adaptive Sliding Mode Control of Autonomous Underwater Vehicle in the Dive Plane." In Intelligent Robotics and Applications, 157–64. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-10817-4_15.

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Zhang, Xiping, and Xiaoyu Zhang. "Design of Direct Adaptive Fuzzy Sliding Mode Control for Discrete Nonlinear System." In Foundations and Applications of Intelligent Systems, 491–501. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-37829-4_42.

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Zheng, Zhongjiu, Ning Wang, and Hong Zhao. "Adaptive Discrete-Time Sliding Mode Control of Brushless DC Motor Servo System for Unmanned Surface Vehicles." In Advances in Intelligent Systems and Computing, 496–504. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-15235-2_72.

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Chaudhari, Khushal, and Ramesh Ch Khamari. "Design of Lyapunov-Based Discrete-Time Adaptive Sliding Mode Control for Slip Control of Hybrid Electric Vehicle." In Intelligent Computing and Applications, 97–113. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5566-4_9.

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Yin, Yang, Li Xia, Lizhong Song, and Mei Qian. "Adaptive Sliding Mode Control of Networked Control Systems with Variable Time Delay." In Lecture Notes in Electrical Engineering, 131–38. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21747-0_17.

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Ghazali, Rozaimi, Yahaya Md Sam, Mohd Fua’ad Rahmat, and Zulfatman Has. "Adaptive Discrete Sliding Mode Control for a Non-minimum Phase Electro-Hydraulic Actuator System." In Lecture Notes in Electrical Engineering, 3–14. Singapore: Springer Singapore, 2014. http://dx.doi.org/10.1007/978-981-4585-42-2_1.

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Adhikary, Nabanita, and Jobin Mathew. "Adaptive Backstepping-Based Non-singular Finite-Time Sliding Mode Controller for Suspension of Maglev Platforms." In Smart Innovation, Systems and Technologies, 63–88. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-1777-5_5.

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Conference papers on the topic "Adaptive discrete-time sliding mode"

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Wang, Xiaodan, Yonggao Jin, Xiaogang Xiong, and Shanhai Jin. "A Discrete-time Sliding Mode Estimator with Adaptive Sliding Surface." In 2018 Chinese Automation Congress (CAC). IEEE, 2018. http://dx.doi.org/10.1109/cac.2018.8623750.

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Song, Lizhong, and Ping Huang. "Adaptive Discrete-Time Sliding Mode Control of Brushless DC Servomotors." In 2007 2nd IEEE Conference on Industrial Electronics and Applications. IEEE, 2007. http://dx.doi.org/10.1109/iciea.2007.4318578.

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Feng, Yong, Chen Xue, Fan Bai, and Fengling Han. "Adaptive Discrete-Time Quasi-Sliding Mode Control of Induction Motors." In 2021 40th Chinese Control Conference (CCC). IEEE, 2021. http://dx.doi.org/10.23919/ccc52363.2021.9549509.

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Monsees, G., and J. M. A. Scherpen. "Adaptive switching gain for a discrete-time sliding mode controller." In Proceedings of 2000 American Control Conference (ACC 2000). IEEE, 2000. http://dx.doi.org/10.1109/acc.2000.879479.

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Wang, W. H., and Z. S. Hou. "An Adaptive Quasi-Sliding Mode Control for Nonlinear Discrete-Time System." In 2007 IEEE International Conference on Control and Automation. IEEE, 2007. http://dx.doi.org/10.1109/icca.2007.4376813.

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Huang, Fengzhi, Yuanwei Jing, Georgi M. Dimirovski, and Siying Zhang. "Adaptive sliding mode output feedback control for uncertain discrete-time systems." In 2010 14th International Power Electronics and Motion Control Conference (EPE/PEMC 2010). IEEE, 2010. http://dx.doi.org/10.1109/epepemc.2010.5606515.

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Jin, Shanhai, Ryo Kikuuwe, and Motoji Yamamoto. "Discrete-time velocity estimator based on sliding mode and adaptive windowing." In 2012 IEEE/SICE International Symposium on System Integration (SII 2012). IEEE, 2012. http://dx.doi.org/10.1109/sii.2012.6426930.

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KADIRKAMANATHAN, V., and S. G. FABRI. "DISCRETE-TIME ADAPTIVE SLIDING MODE CONTROL OF NONLINEAR SYSTEMS USING NEURAL NETWORKS." In Proceedings of the 6th IEEE Mediterranean Conference. WORLD SCIENTIFIC, 1999. http://dx.doi.org/10.1142/9789814447317_0060.

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Loukianov, Alexander G., Antonio Navarrete-Guzman, and Jorge Rivera. "Adaptive Discrete Time Sliding Mode Control for a Class of Nonlinear Systems." In 2018 15th International Workshop on Variable Structure Systems (VSS). IEEE, 2018. http://dx.doi.org/10.1109/vss.2018.8460320.

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Steinberger, Martin, Martin Horn, and Antonella Ferrara. "Discrete-time Model Reference Adaptive Sliding Mode Control for Systems in State-Space Representation." In 2019 IEEE 58th Conference on Decision and Control (CDC). IEEE, 2019. http://dx.doi.org/10.1109/cdc40024.2019.9029468.

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