Bibliografias temáticas / Robust Nonlinear Adaptive Control

Índice

Artigos de revistas
Teses / dissertações
Livros
Capítulos de livros
Trabalhos de conferências
Relatórios de organizações

Literatura científica selecionada sobre o tema "Robust Nonlinear Adaptive Control"

Autor: Grafiati

Publicado: 21 de dezembro de 2024

Crie uma referência precisa em APA, MLA, Chicago, Harvard, e outros estilos

Selecione um tipo de fonte:

Consulte a lista de atuais artigos, livros, teses, anais de congressos e outras fontes científicas relevantes para o tema "Robust Nonlinear Adaptive Control".

Ao lado de cada fonte na lista de referências, há um botão "Adicionar à bibliografia". Clique e geraremos automaticamente a citação bibliográfica do trabalho escolhido no estilo de citação de que você precisa: APA, MLA, Harvard, Chicago, Vancouver, etc.

Você também pode baixar o texto completo da publicação científica em formato .pdf e ler o resumo do trabalho online se estiver presente nos metadados.

Artigos de revistas sobre o assunto "Robust Nonlinear Adaptive Control"

Chen, Yi Mei, e Shao Ru Chen. "Nonlinear Robust Adaptive Control Using Direct Adaptive Method". Applied Mechanics and Materials 263-266 (dezembro de 2012): 817–21. http://dx.doi.org/10.4028/www.scientific.net/amm.263-266.817.

Texto completo da fonte

Resumo:

The problem of robust adaptive stabilization of a class of multi-input nonlinear systems with unknown parameters and structure has been considered. By employing the direct adaptive method to a general nonlinear adaptive system, a robust adaptive controller is designed to complete the global asymptotically stability of the system states. Some simulations are provided to illustrate the effectiveness of the proposed method.

Estilos ABNT, Harvard, Vancouver, APA, etc.

Polycarpou, M. M., e P. A. Ioannou. "A robust adaptive nonlinear control design". Automatica 32, n.º 3 (março de 1996): 423–27. http://dx.doi.org/10.1016/0005-1098(95)00147-6.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

Zerroug, N., K. Behih, Z. Bouchama e K. Zehar. "Robust Adaptive Fuzzy Control of Nonlinear Systems". Engineering, Technology & Applied Science Research 12, n.º 2 (9 de abril de 2022): 8328–34. http://dx.doi.org/10.48084/etasr.4781.

Texto completo da fonte

Resumo:

In this paper, an adaptive Fuzzy Fast Terminal Synergetic Controller (FFSC) for a certain class of SISO unknown nonlinear dynamic systems is proposed, that uses the concept of terminal attractor design, adaptive fuzzy synergetic control scheme, and Lyapunov synthesis approach. In contrast to the existing adaptive fuzzy synergetic control design, where the fuzzy systems are used to approximate the unknown system functions while the synergetic control guarantees robustness and achieves the asymptotic stability of the closed-loop system, in our technique both the continuous synergetic control law and the fuzzy approximator are derived to ensure finite-time convergence. Lyapunov conditions for finite-time stability and accuracy proofs in mathematics are presented to prove that the proposed adaptive scheme can achieve finite-time stable tracking of reference input and guarantee of the bonded system signals. Simulation results illustrate the design procedures and demonstrate the performance of the proposed controller.

Estilos ABNT, Harvard, Vancouver, APA, etc.

Emran, Bara. "ROBUST NONLINEAR COMPOSITE ADAPTIVE CONTROL OF QUADROTOR". International Journal of Digital Information and Wireless Communications 4, n.º 2 (2014): 213–25. http://dx.doi.org/10.17781/p001100.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

HASHIMOTO, Yuki, Hansheng WU e Koichi MIZUKAMI. "Adaptive Robust Control for Uncertain Nonlinear Systems". Transactions of the Society of Instrument and Control Engineers 34, n.º 12 (1998): 1813–21. http://dx.doi.org/10.9746/sicetr1965.34.1813.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

LI, ZHONG-HUA, TIAN-YOU CHAI, CHEONG-BOON SOH e CHANGYUN WEN. "Adaptive robust control of nonlinear uncertain systems". International Journal of Systems Science 26, n.º 11 (novembro de 1995): 2159–75. http://dx.doi.org/10.1080/00207729508929160.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

Velez-Diaz, D., e Y. Tang. "Adaptive Robust Fuzzy Control of Nonlinear Systems". IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics) 34, n.º 3 (junho de 2004): 1596–601. http://dx.doi.org/10.1109/tsmcb.2004.825934.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

Dillon, Charles H., e Jason L. Speyer. "ROBUST ADAPTIVE CONTROL OF UNCERTAIN NONLINEAR SYSTEMS". IFAC Proceedings Volumes 35, n.º 1 (2002): 37–42. http://dx.doi.org/10.3182/20020721-6-es-1901.00992.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

Haddad, Wassim M., Tomohisa Hayakawa e VijaySekhar Chellaboina. "Robust adaptive control for nonlinear uncertain systems". Automatica 39, n.º 3 (março de 2003): 551–56. http://dx.doi.org/10.1016/s0005-1098(02)00244-3.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

Wang, Ding, Haibo He e Derong Liu. "Adaptive Critic Nonlinear Robust Control: A Survey". IEEE Transactions on Cybernetics 47, n.º 10 (outubro de 2017): 3429–51. http://dx.doi.org/10.1109/tcyb.2017.2712188.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

Mais fontes

Teses / dissertações sobre o assunto "Robust Nonlinear Adaptive Control"

Nguyen, Canh Quang Mechanical &amp Manufacturing Engineering Faculty of Engineering UNSW. "Switching robust adaptive control in nonlinear mechanical systems". Awarded by:University of New South Wales. School of Mechanical & Manufacturing Engineering, 2006. http://handle.unsw.edu.au/1959.4/24318.

Texto completo da fonte

Resumo:

This work describes analysis, design, and implementation of a novel switching robust adaptive control (SRAC) method for nonlinear systems. The proposed method takes advantage of both adaptive control (AC) and robust control (RC) methods. SRAC employs one of the methods when this method is advantageous and switches to the other method when the other one becomes the preferred choice. To this end, RC is used to deal with transient effects caused by uncertainties and disturbances. The system switches over to AC for good steady state performance when certain switching criteria are satisfied. If external disturbances become dominant or new uncertainties are introduced while AC is active, the system will switch back to RC. In this manner, the switching process between AC and RC will continue to take place guaranteeing improved performance, robustness, and accuracy for the entire operation of the system. The novel idea behind the proposed method is a smart novel mechanism of bi-directional switching between RC and AC. In this mechanism, the involvement of estimators and switching rules play a decisive part in guaranteeing the smooth switching and the stability of the system. The implementation and design issues of the novel method were first evaluated by simulation on a mass spring system and then on a robot manipulator system. To control these systems with satisfactory performance, nonlinearities and uncertainties have been properly analysed and embedded into models and control algorithms. Simulation results showed the superior performance of the proposed method compared with other control methods. The experimental validation of the proposed method was conducted on a Puma 560 robot manipulator system which was established by joints 2 and 3 of the robot. Extensive comparative experimental results have validated the efficacy and superior performance of the proposed SRAC method over other control methods in the face of uncertainties and disturbances. As part of this work, a comprehensive dynamic model of robotic manipulator in the presence of joint motors, gravitational forces, friction forces and payload has been developed using MAPLE. A systematic design framework for the SRAC method has also been developed.

Estilos ABNT, Harvard, Vancouver, APA, etc.

Trebi-Ollennu, Ashitey. "Robust nonlinear control, designs using adaptive fuzzy systems". Thesis, Cranfield University, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.296492.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

Lopez, Brett Thomas. "Adaptive robust model predictive control for nonlinear systems". Thesis, Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/122395.

Texto completo da fonte

Resumo:

Thesis: Ph. D., Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, 2019
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 115-124).
Modeling error and external disturbances can severely degrade the performance of Model Predictive Control (MPC) in real-world scenarios. Robust MPC (RMPC) addresses this limitation by optimizing over control policies but at the expense of computational complexity. An alternative strategy, known as tube MPC, uses a robust controller (designed offline) to keep the system in an invariant tube centered around a desired nominal trajectory (generated online). While tube MPC regains tractability, there are several theoretical and practical problems that must be solved for it to be used in real-world scenarios. First, the decoupled trajectory and control design is inherently suboptimal, especially for systems with changing objectives or operating conditions. Second, no existing tube MPC framework is able to capture state-dependent uncertainty due to the complexity of calculating invariant tubes, resulting in overly-conservative approximations. And third, the inability to reduce state-dependent uncertainty through online parameter adaptation/estimation leads to systematic error in the trajectory design. This thesis aims to address these limitations by developing a computationally tractable nonlinear tube MPC framework that is applicable to a broad class of nonlinear systems.
"This work was supported by the National Science Foundation Graduate Research Fellowship under Grant No. 1122374, by the DARPA Fast Lightweight Autonomy (FLA) program, by the NASA Convergent Aeronautics Solutions project Design Environment for Novel Vertical Lift Vehicles (DELIVER), and by ARL DCIST under Cooperative Agreement Number W911NF- 17-2-0181"--Page 7.
by Brett T. Lopez.
Ph. D.
Ph.D. Massachusetts Institute of Technology, Department of Aeronautics and Astronautics

Estilos ABNT, Harvard, Vancouver, APA, etc.

Zhang, Zhen. "Adaptive robust periodic output regulation". Columbus, Ohio : Ohio State University, 2007. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1187118803.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

Fisher, James Robert. "Aircraft control using nonlinear dynamic inversion in conjunction with adaptive robust control". Texas A&M University, 2004. http://hdl.handle.net/1969.1/1515.

Texto completo da fonte

Resumo:

This thesis describes the implementation of Yaos adaptive robust control to an aircraft control system. This control law is implemented as a means to maintain stability and tracking performance of the aircraft in the face of failures and changing aerodynamic response. The control methodology is implemented as an outer loop controller to an aircraft under nonlinear dynamic inversion control. The adaptive robust control methodology combines the robustness of sliding mode control to all types of uncertainty with the ability of adaptive control to remove steady state errors. A performance measure is developed in to reflect more subjective qualities a pilot would look for while flying an aircraft. Using this measure, comparisons of the adaptive robust control technique with the sliding mode and adaptive control methodologies are made for various failure conditions. Each control methodology is implemented on a full envelope, high fidelity simulation of the F-15 IFCS aircraft as well as on a lower fidelity full envelope F-5A simulation. Adaptive robust control is found to exhibit the best performance in terms of the introduced measure for several different failure types and amplitudes.

Estilos ABNT, Harvard, Vancouver, APA, etc.

Muenst, Gerhard. "Mass movement mechanism for nonlinear, robust and adaptive control of flexible structures". Ohio : Ohio University, 2001. http://www.ohiolink.edu/etd/view.cgi?ohiou1174061987.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

Poon, Kai-yin Kenny. "An investigation on the application of nonlinear robust adaptive control theory in AC/DC power systems". Click to view the E-thesis via HKUTO, 2007. http://sunzi.lib.hku.hk/hkuto/record/B38898949.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

Hayakawa, Tomohisa. "Direct Adaptive Control for Nonlinear Uncertain Dynamical Systems". Diss., Georgia Institute of Technology, 2003. http://hdl.handle.net/1853/5292.

Texto completo da fonte

Resumo:

In light of the complex and highly uncertain nature of dynamical systems requiring controls, it is not surprising that reliable system models for many high performance engineering and life science applications are unavailable. In the face of such high levels of system uncertainty, robust controllers may unnecessarily sacrifice system performance whereas adaptive controllers are clearly appropriate since they can tolerate far greater system uncertainty levels to improve system performance. In this dissertation, we develop a Lyapunov-based direct adaptive and neural adaptive control framework that addresses parametric uncertainty, unstructured uncertainty, disturbance rejection, amplitude and rate saturation constraints, and digital implementation issues. Specifically, we consider the following research topics: direct adaptive control for nonlinear uncertain systems with exogenous disturbances; robust adaptive control for nonlinear uncertain systems; adaptive control for nonlinear uncertain systems with actuator amplitude and rate saturation constraints; adaptive reduced-order dynamic compensation for nonlinear uncertain systems; direct adaptive control for nonlinear matrix second-order dynamical systems with state-dependent uncertainty; adaptive control for nonnegative and compartmental dynamical systems with applications to general anesthesia; direct adaptive control of nonnegative and compartmental dynamical systems with time delay; adaptive control for nonlinear nonnegative and compartmental dynamical systems with applications to clinical pharmacology; neural network adaptive control for nonlinear nonnegative dynamical systems; passivity-based neural network adaptive output feedback control for nonlinear nonnegative dynamical systems; neural network adaptive dynamic output feedback control for nonlinear nonnegative systems using tapped delay memory units; Lyapunov-based adaptive control framework for discrete-time nonlinear systems with exogenous disturbances; direct discrete-time adaptive control with guaranteed parameter error convergence; and hybrid adaptive control for nonlinear uncertain impulsive dynamical systems.

Estilos ABNT, Harvard, Vancouver, APA, etc.

Patre, Parag. "Lyapunov-based robust and adaptive control of nonlinear systems using a novel feedback structure". [Gainesville, Fla.] : University of Florida, 2009. http://purl.fcla.edu/fcla/etd/UFE0024807.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

Poon, Kai-yin Kenny, e 潘啟然. "An investigation on the application of nonlinear robust adaptive control theory in AC/DC power systems". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2007. http://hub.hku.hk/bib/B38898949.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

Mais fontes

Livros sobre o assunto "Robust Nonlinear Adaptive Control"

Wang, Ding, e Chaoxu Mu. Adaptive Critic Control with Robust Stabilization for Uncertain Nonlinear Systems. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-1253-3.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

International Workshop on Nonlinear and Adaptive Control: Issues in Robotics (1990 Grenoble, France). Advanced robot control: Proceedings of the International Workshop on Nonlinear and Adaptive Control, Issues in Robotics, Grenoble, France, Nov. 21-23, 1990. Berlin: Springer-Verlag, 1991.

Encontre o texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

1961-, Sun Jing, ed. Robust adaptive control. Upper Saddle River, NJ: PTR Prentice-Hall, 1996.

Encontre o texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

Lavretsky, Eugene, e Kevin A. Wise. Robust and Adaptive Control. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-4396-3.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

R, Lozano, e Ortega Romeo, eds. Robust and adaptive control. Chichester: Wiley, 1988.

Encontre o texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

Lavretsky, Eugene, e Kevin A. Wise. Robust and Adaptive Control. Cham: Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-38314-4.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

Freeman, Randy A., e Petar Kokotović. Robust Nonlinear Control Design. Boston, MA: Birkhäuser Boston, 1996. http://dx.doi.org/10.1007/978-0-8176-4759-9.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

Zinober, Alan, e David Owens, eds. Nonlinear and Adaptive Control. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-45802-6.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

Landau, Ioan Doré, Tudor-Bogdan Airimițoaie, Abraham Castellanos-Silva e Aurelian Constantinescu. Adaptive and Robust Active Vibration Control. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-41450-8.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

1967-, Adams Richard J., ed. Robust multivariable flight control. London: Springer-Verlag, 1994.

Encontre o texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

Mais fontes

Capítulos de livros sobre o assunto "Robust Nonlinear Adaptive Control"

Siqueira, Adriano A. G., Marco H. Terra e Marcel Bergerman. "Adaptive Nonlinear $${{\mathcal{H}}}_{\user2{\infty}}$$ Control". In Robust Control of Robots, 59–73. London: Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-898-0_4.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

Kwatny, Harry G., e Gilmer L. Blankenship. "Robust and Adaptive Control Systems". In Nonlinear Control and Analytical Mechanics, 227–66. Boston, MA: Birkhäuser Boston, 2000. http://dx.doi.org/10.1007/978-1-4612-2136-4_7.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

Fradkov, Alexander L., Iliya V. Miroshnik e Vladimir O. Nikiforov. "Adaptive and Robust Control Design". In Nonlinear and Adaptive Control of Complex Systems, 265–389. Dordrecht: Springer Netherlands, 1999. http://dx.doi.org/10.1007/978-94-015-9261-1_6.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

DeHaan, Darryl, Martin Guay e Veronica Adetola. "Adaptive Robust MPC: A Minimally-Conservative Approach". In Nonlinear Model Predictive Control, 55–67. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-01094-1_4.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

Khorrami, Farshad, Prashanth Krishnamurthy e Hemant Melkote. "Robust Adaptive Control of Stepper Motors". In Modeling and Adaptive Nonlinear Control of Electric Motors, 109–53. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-662-08788-6_7.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

Wen, Guo-Xing, Yan-Jun Liu e C. L. Philip Chen. "Adaptive Robust NN Control of Nonlinear Systems". In Advances in Neural Networks – ISNN 2011, 535–41. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21090-7_62.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

Tomei, P. "An Adaptive PD Control Algorithm for Robots". In Robust Control of Linear Systems and Nonlinear Control, 575–82. Boston, MA: Birkhäuser Boston, 1990. http://dx.doi.org/10.1007/978-1-4612-4484-4_57.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

Krishnamurthy, P., F. Khorrami e Ƶ. Wang. "Robust Adaptive Nonlinear Control for Robotic Manipulators with Flexible Joints". In Adaptive Control for Robotic Manipulators, 317–36. Taylor & Francis Group, 6000 Broken Sound Parkway NW, Suite 300, Boca Raton, FL 33487-2742: CRC Press, 2016. http://dx.doi.org/10.1201/9781315166056-14.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

Ortega, Romeo, Yu Tang e Laurent Praly. "On Bounded Adaptive Control with Reduced Prior Knowledge". In Robust Control of Linear Systems and Nonlinear Control, 361–68. Boston, MA: Birkhäuser Boston, 1990. http://dx.doi.org/10.1007/978-1-4612-4484-4_35.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

Campion, G., e G. Bastin. "On Adaptive Linearizing Control of Omnidirectional Mobile Robots". In Robust Control of Linear Systems and Nonlinear Control, 531–38. Boston, MA: Birkhäuser Boston, 1990. http://dx.doi.org/10.1007/978-1-4612-4484-4_53.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

Trabalhos de conferências sobre o assunto "Robust Nonlinear Adaptive Control"

Yao, Bin, George T. C. Chiu e John T. Reedy. "Nonlinear Adaptive Robust Control of One-DOF Electro-Hydraulic Servo Systems". In ASME 1997 International Mechanical Engineering Congress and Exposition, 191–97. American Society of Mechanical Engineers, 1997. http://dx.doi.org/10.1115/imece1997-1301.

Texto completo da fonte

Resumo:

Abstract This paper intends to provide a theoretic framework for the high performance robust control of electro-hydraulic servo-systems. This is achieved through applying the recently proposed adaptive robust control (ARC) while taking into account the particular nonlinearities and model uncertainties of the electro-hydraulic servo-systems. In particular, the robust motion control of a typical electro-hydraulic servo-system will be considered. The system consists of an inertia load driven by a double rod cylinder regulated by a two-stage servovalve. The paper will consider the effect of both parametric uncertainties coming from the inertia load and the cylinder and the uncertain nonlinearities such as friction forces. Non-differentiability of the inherent nonlinearities associated with hydraulic dynamics is examined and strategies are provided for handling the non-differentiability of the control term due to the direct change of valve opening when doing backstepping design via ARC Lyapunov function. The resulting controller guarantees a prescribed transient performance and final tracking accuracy in the presence of both parametric uncertainties and uncertain nonlinearities while achieving asymptotic tracking in the presence of parameteric uncertainties.

Estilos ABNT, Harvard, Vancouver, APA, etc.

Long, Yu, Hang Zhong, Zhenyu Qian, Min Liu, Hui Zhang, Yiming Jiang e Yaonan Wang. "Robust Nonlinear Observer-based Adaptive Visual Servo Control for a Multirotor". In 2024 IEEE International Conference on Real-time Computing and Robotics (RCAR), 124–29. IEEE, 2024. http://dx.doi.org/10.1109/rcar61438.2024.10671231.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

Polycarpou, Marios M., e Petros A. Ioannou. "A Robust Adaptive Nonlinear Control Design". In 1993 American Control Conference. IEEE, 1993. http://dx.doi.org/10.23919/acc.1993.4793094.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

Gopalswamy, Swaminathan, e J. Karl Hedrick. "Robust Adaptive Control of Multivariable Nonlinear Systems". In 1990 American Control Conference. IEEE, 1990. http://dx.doi.org/10.23919/acc.1990.4791131.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

Wahab, H. F., e R. Katebi. "Robust adaptive estimators for nonlinear systems". In 2013 Conference on Control and Fault-Tolerant Systems (SysTol). IEEE, 2013. http://dx.doi.org/10.1109/systol.2013.6693823.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

Adetona, O., S. Sathananthan e L. H. Keel. "Robust nonlinear adaptive control using neural networks". In Proceedings of American Control Conference. IEEE, 2001. http://dx.doi.org/10.1109/acc.2001.946247.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

Li, Dawei, Ming Xin e Bin Jia. "Robust Nonlinear Filter Using Adaptive Edgeworth Expansion". In 2018 Annual American Control Conference (ACC). IEEE, 2018. http://dx.doi.org/10.23919/acc.2018.8430825.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

Gopalswamy, Swaminathan, e J. Karl Hedrick. "Robust Adaptive Nonlinear Control of High Peformance Aircraft". In 1991 American Control Conference. IEEE, 1991. http://dx.doi.org/10.23919/acc.1991.4791589.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

Yu, Wenwu, e Guanrong Chen. "Robust adaptive flocking control of nonlinear multi-agent systems". In Control (MSC). IEEE, 2010. http://dx.doi.org/10.1109/cacsd.2010.5612787.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

Yao, Bin. "Desired Compensation Adaptive Robust Control". In ASME 1998 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 1998. http://dx.doi.org/10.1115/imece1998-0303.

Texto completo da fonte

Resumo:

Abstract A desired compensation adaptive robust control (DCARC) approach is proposed for nonlinear systems having both parametric uncertainties and uncertain nonlinearities. DCARC of nonlinear systems transformable to a normal form is first solved. A DCARC backstepping design is then developed to overcome the design difficulties associated with unmatched model uncertainties. The proposed DCARC has the unique feature that the adaptive model compensation part depends on the reference trajectory and parameter estimates only. Such a structure has several implementation advantages. First, the regressor in the model compensation part can be calculated off-line and on-line computation time may be reduced. Second, the interaction between the parameter adaptation and the robust control law is minimized, which may facilitate the controller gain tuning process considerably. Third, the effect of measurement noise is minimized since the regressor does not depend on actual measurements. As a result, a fast adaptation rate may be chosen in implementation to speed up the transient response and to improve overall tracking performance. These claims have been verified in the comparative experimental studies for the control of robot manipulators.

Estilos ABNT, Harvard, Vancouver, APA, etc.

Relatórios de organizações sobre o assunto "Robust Nonlinear Adaptive Control"

Hovakimyan, Naira. Robust Adaptive Control of Multivariable Nonlinear Systems. Fort Belvoir, VA: Defense Technical Information Center, novembro de 2008. http://dx.doi.org/10.21236/ada501711.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

Hovakimyan, Naira. Robust Adaptive Control of Multivariable Nonlinear Systems. Fort Belvoir, VA: Defense Technical Information Center, março de 2011. http://dx.doi.org/10.21236/ada565190.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

Tatlicioglu, E., M. McIntyre, D. Dawson e I. Walker. Adaptive Nonlinear Tracking Control of Kinematically Redundant Robot Manipulators with Sub-Task Extensions. Fort Belvoir, VA: Defense Technical Information Center, janeiro de 2005. http://dx.doi.org/10.21236/ada465620.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

Valavani, Lena. Robust and Adaptive Control. Fort Belvoir, VA: Defense Technical Information Center, abril de 1990. http://dx.doi.org/10.21236/ada224810.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

Ikeda, Yutaka, James Ramsey, Eugene Lavretsky e Patrick McCormick. Robust Adaptive Control of UCAVs. Fort Belvoir, VA: Defense Technical Information Center, setembro de 2004. http://dx.doi.org/10.21236/ada427938.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

Teel, Andrew R. Optimization-Based Robust Nonlinear Control. Fort Belvoir, VA: Defense Technical Information Center, agosto de 2006. http://dx.doi.org/10.21236/ada452020.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

McEneaney, William M. Nonlinear Robust Control and Estimation. Fort Belvoir, VA: Defense Technical Information Center, novembro de 1999. http://dx.doi.org/10.21236/ada383810.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

Kezunovic, Mladen, Shmuel Oren, Kory Hedman, Erick Moreno Centeno, Garng Huang e Alex Sprintson. Robust Adaptive Topology Control Project (RATC). Office of Scientific and Technical Information (OSTI), julho de 2015. http://dx.doi.org/10.2172/1209678.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

Sastry, Shankar S. Adaptive and Nonlinear Control Methodologies. Fort Belvoir, VA: Defense Technical Information Center, agosto de 1988. http://dx.doi.org/10.21236/ada200694.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

Doyle, John C. Nonlinear Robust Control Theory and Applications. Fort Belvoir, VA: Defense Technical Information Center, novembro de 1998. http://dx.doi.org/10.21236/ada367040.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

Oferecemos descontos em todos os planos premium para autores cujas obras estão incluídas em seleções literárias temáticas. Contate-nos para obter um código promocional único!