Literatura científica selecionada sobre o tema "Recursive control"
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Artigos de revistas sobre o assunto "Recursive control"
Megha Agarwal e Indra Gupta. "Chip Architecture for Data Sorting Using Recursive Algorithm". Journal of Technology Management for Growing Economies 1, n.º 1 (26 de abril de 2010): 93–102. http://dx.doi.org/10.15415/jtmge.2010.11006.
Texto completo da fonteBobál, Vladimír, Petr Chalupa, Marek Kubalčík e Petr Dostál. "Self-Tuning Predictive Control of Nonlinear Servo-Motor". Journal of Electrical Engineering 61, n.º 6 (1 de novembro de 2010): 365–72. http://dx.doi.org/10.2478/v10187-010-0056-x.
Texto completo da fonteOSTOJIC, MILE. "Recursive control of robotic motion". International Journal of Control 64, n.º 5 (julho de 1996): 775–87. http://dx.doi.org/10.1080/00207179608921656.
Texto completo da fonteSkiadas, Costis. "Robust control and recursive utility". Finance and Stochastics 7, n.º 4 (1 de outubro de 2003): 475–89. http://dx.doi.org/10.1007/s007800300100.
Texto completo da fonteUshakov, Mariya S., e Alexander I. Legalov. "Verification of Programs with Mutual Recursion in the Pifagor Language". Modeling and Analysis of Information Systems 25, n.º 4 (27 de agosto de 2018): 358–81. http://dx.doi.org/10.18255/1818-1015-2018-4-358-381.
Texto completo da fonteDai, Zhi Hua, Yu An Pan e Jie Yao. "Parameters Recursive Identification of Minimum Variance Control". Applied Mechanics and Materials 347-350 (agosto de 2013): 15–18. http://dx.doi.org/10.4028/www.scientific.net/amm.347-350.15.
Texto completo da fonteSiwczyński, M., e K. Hawron. "The optimal online control of the instantaneous power and the multiphase source’s current". Bulletin of the Polish Academy of Sciences Technical Sciences 65, n.º 6 (1 de dezembro de 2017): 827–32. http://dx.doi.org/10.1515/bpasts-2017-0090.
Texto completo da fonteMa, Baosen, Wenhui Pei e Qi Zhang. "Trajectory Tracking Control of Autonomous Vehicles Based on an Improved Sliding Mode Control Scheme". Electronics 12, n.º 12 (20 de junho de 2023): 2748. http://dx.doi.org/10.3390/electronics12122748.
Texto completo da fonteAndréasson, Sven-Arne. "A Recursive Framework for Manufacturing Control". IFAC Proceedings Volumes 42, n.º 4 (2009): 600–605. http://dx.doi.org/10.3182/20090603-3-ru-2001.0372.
Texto completo da fonteKreutz-Delgado, K., A. Jain e G. Rodriguez. "Recursive Formulation of Operational Space Control". International Journal of Robotics Research 11, n.º 4 (agosto de 1992): 320–28. http://dx.doi.org/10.1177/027836499201100405.
Texto completo da fonteTeses / dissertações sobre o assunto "Recursive control"
Barbosa, Filipe Marques. "Robust recursive path-following control for autonomous heavy-duty vehicles". Universidade de São Paulo, 2018. http://www.teses.usp.br/teses/disponiveis/18/18153/tde-14032019-082753/.
Texto completo da fonteO seguimento de caminho e a estabilidade lateral são questões cruciais para veículos autônomos. Além disso, devido à baixa capacidade de manobra, tamanho e grande variação de massa, estes problemas se tornam mais complexos quando se trata de veículos pesados. Adicionalmente, as incertezas na massa têm o potencial de diminuir significativamente o desempenho do sistema, chegando ao ponto de desestabilizá-lo, assim, essas variações paramétricas devem ser consideradas durante o projeto do controlador. No entanto, as técnicas de controle robusto geralmente exigem o ajuste off-line de parâmetros auxiliares do controlador, o que não é prático e lava a uma operação sub-ótima. Assim, este trabalho apresenta uma abordagem de controle de seguimento de caminho e controle lateral para veículos pesados autônomos sujeitos a incertezas paramétricas usando um regulador robusto recursivo. A principal vantagem deste controlador é que ele não depende do ajuste off-line de parâmetros. Assumiu-se que as incertezas paramétricas estavam na carga do veículo, e um controlador H∞ foi usado para comparar o desempenho em simulação. O desempenho de ambos os controladores é avaliado em uma manobra de mudança de faixa. Os resultados de simulação mostraram que o método proposto apresentou melhor desempenho em termos de robustez, estabilidade lateral, suavidade na condução e segurança, o que o demonstra como uma técnica de controle bastante promissora para aplicações práticas. Por fim, testes experimentais em um caminhão rígido reforçam os resultados obtidos em simulação.
Oliveira, Tiago Miguel Brites. "Recursive neuro fuzzy techniques for online identification and control". Master's thesis, Faculdade de Ciências e Tecnologia, 2013. http://hdl.handle.net/10362/10552.
Texto completo da fonteThe main goal of this thesis will be focused on developing an adaptative closed loop control solution, using fuzzy methodologies. A positive theoretical and experimental contribution, regarding modelling and control of fuzzy and neuro fuzzy systems, is expected to be achieved. Proposed non-linear identification solution will use for modelling and control, a recurrent neuro fuzzy architecture. Regarding model solution, a state space approach will be considered during fuzzy consequent local models design. Developed controller will be based on model parameters, being expected not only a stable closed loop solution, but also a static error with convergence towards zero. Model and controller fuzzy subspaces, will be partitioned throughout process dynamical universe, allowing fuzzy local models and controllers commutation and aggregation. With the aim of capturing process under control dynamics using a real time approach, the use of recursive optimization techniques are to be adopted. Such methods will be applied during parameter and state estimation, using a dual decoupled Kalman filter extended with unscented transformation. Two distinct processes one single-input (SISO) other multi-input (MIMO), will be used during experimentation. It is expected from experiments, a practical validation of proposed solution capabilities for control and identification. Presented work will not be completed, without first presenting a global analysis of adopted concepts and methods, describing new perspectives for future investigations.
Brus, Linda. "Recursive black-box identification of nonlinear state-space ODE models". Licentiate thesis, Uppsala : Department of Information Technology, Uppsala University, 2006. http://www.it.uu.se/research/publications/lic/2006-001/.
Texto completo da fonteSarkar, Subhasis. "Recursive formulations of multibody systems in open loop configuration". Diss., Georgia Institute of Technology, 1992. http://hdl.handle.net/1853/12414.
Texto completo da fonteABDALLA, TALAL ALMUTAZ ALMANSI. "Recursive Algorithms for Set-Membership Estimation". Doctoral thesis, Politecnico di Torino, 2022. https://hdl.handle.net/11583/2972788.
Texto completo da fonteBaker, Rob. "Some possibilities for the use of a recursive predictor in self-tuning algorithms". Thesis, University of Newcastle Upon Tyne, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.316054.
Texto completo da fonteNatarajan, Bharath. "Area Access Control Systems: Zone Management And Personnel Tracking". [Tampa, Fla.] : University of South Florida, 2005. http://purl.fcla.edu/fcla/etd/SFE0001247.
Texto completo da fonteBoonnithivorakul, Nattapong. "Recursive on-line strategy for optimal control of a class of nonlinear systems /". Available to subscribers only, 2006. http://proquest.umi.com/pqdweb?did=1136091921&sid=7&Fmt=2&clientId=1509&RQT=309&VName=PQD.
Texto completo da fonteBurridge, Michael J. "Nonlinear robust control of a series dc motor utilizing the recursive design approach". Master's thesis, University of Central Florida, 1995. http://digital.library.ucf.edu/cdm/ref/collection/RTD/id/24126.
Texto completo da fonteIn this thesis, the investigation of asymptotic stavility of the series DC motor with unknown load-torque and unknown armature inductance is considered. The control technique of recursive, or backstepping, design is employed. Three cases are considered. In the first case, the system is assumed to be perfectly known. In the second case, the load torque is assumed to be unknown and a proportional-integral controller is developed to compensate for this unknown quantity. In the final case, it is assumed that two system parameters, load torque and armature inductance, are not known exactly, but vary from expected nominal values within a specified range. A robust control is designed to handle this case. The Lyapunov stavility criterion is applied ina ll three cases to prove the stability of the system under the developed control. The results are then verified through the use of computer simulation.
M.S.;
Electrical and Computer Engineering;
Engineering;
Electrical Engineering;
103 p.
vii, 103 leaves, bound : ill. ; 28 cm.
Pil, Anton Cyriel. "A rapid recursive experimental approach to integrated structure/control redesign of electromechanical systems". Thesis, Massachusetts Institute of Technology, 1996. http://hdl.handle.net/1721.1/39758.
Texto completo da fonteLivros sobre o assunto "Recursive control"
Juang, Jer-Nan. Recursive deadbeat controller design. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1997.
Encontre o texto completo da fonteRecursive estimation and control for stochastic systems. New York: Wiley, 1985.
Encontre o texto completo da fonteVoicu, Mihail. Non-recursive models in control system analysis and design. Iași: Editura Dosoftei, 1997.
Encontre o texto completo da fonteGajić, Zoran. Singularly perturbed and weakly coupled linear control systems: A recursive approach. Berlin: Springer-Verlag, 1990.
Encontre o texto completo da fonteG, Rodriguez, e Jet Propulsion Laboratory (U.S.), eds. Recursive dynamics for flexible multibody systems using spatial operators. Pasadena, Calif: National Aeronautics and Space Administration, Jet Propulsion Laboratory, California Institute of Technology, 1990.
Encontre o texto completo da fonteSundararajan, N. Adaptive identification and control of structural dynamics using recursive lattice filters. Washington, D.C: National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1985.
Encontre o texto completo da fonteAdaptive IIR filtering in signal processing and control. New York: M. Dekker, 1995.
Encontre o texto completo da fonteDamaren, C. J. On the relationship between discrete-time optimal control and recursive dynamics for elastic multibody chains. [S.l.]: American Mathematical Society, 1989.
Encontre o texto completo da fonteAlyukov, Sergey. Approximation of piecewise linear and generalized functions. ru: INFRA-M Academic Publishing LLC., 2024. http://dx.doi.org/10.12737/2104876.
Texto completo da fonteSpain) UIMP-RSME Lluis Santaló Summer (2012 Santander. Recent advances in real complexity and computation: UIMP-RSME Lluis A. Santaló Summer School, Recent advances in real complexity and computation, July 16-20, 2012, Universidad Internacional Menéndez Pelayo, Santander, Spain. Editado por Montaña, Jose Luis, 1961- editor of compilation e Pardo, L. M. (Luis M.), editor of compilation. Providence, Rhode Island: American Mathematical Society, 2013.
Encontre o texto completo da fonteCapítulos de livros sobre o assunto "Recursive control"
Sepulchre, Dr R., M. Janković e P. V. Kokotović. "Recursive designs". In Constructive Nonlinear Control, 229–84. London: Springer London, 1997. http://dx.doi.org/10.1007/978-1-4471-0967-9_6.
Texto completo da fonteLiu, G. P. "Recursive Nonlinear Identification". In Nonlinear Identification and Control, 53–76. London: Springer London, 2001. http://dx.doi.org/10.1007/978-1-4471-0345-5_3.
Texto completo da fonteBhatnagar, S., H. Prasad e L. Prashanth. "Road Traffic Control". In Stochastic Recursive Algorithms for Optimization, 243–55. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-4285-0_13.
Texto completo da fonteLandau, Ioan Doré, Rogelio Lozano, Mohammed M’Saad e Alireza Karimi. "Recursive Plant Model Identification in Open Loop". In Adaptive Control, 153–91. London: Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-664-1_5.
Texto completo da fonteLandau, Ioan Doré, Rogelio Lozano, Mohammed M’Saad e Alireza Karimi. "Recursive Plant Model Identification in Closed Loop". In Adaptive Control, 293–327. London: Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-664-1_9.
Texto completo da fonteLandau, I. D., R. Lozano e M. M’Saad. "Recursive Plant Model Identification in Open Loop". In Adaptive Control, 151–93. London: Springer London, 1998. http://dx.doi.org/10.1007/978-0-85729-343-5_5.
Texto completo da fonteLandau, I. D., R. Lozano e M. M’Saad. "Recursive Plant Model Identification in Closed Loop". In Adaptive Control, 285–337. London: Springer London, 1998. http://dx.doi.org/10.1007/978-0-85729-343-5_9.
Texto completo da fonteIwamoto, Seiichi. "Recursive methods in probability control". In Advances in Mathematical Economics, 55–68. Tokyo: Springer Japan, 2004. http://dx.doi.org/10.1007/978-4-431-68450-3_3.
Texto completo da fonteHayes, David A., Peyman Teymoori e Michael Welzl. "Feedback in Recursive Congestion Control". In Computer Performance Engineering, 109–25. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46433-6_8.
Texto completo da fonteFlamini, Francesca. "Recursive Bargaining with Dynamic Accumulation". In Distributed Decision Making and Control, 131–44. London: Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-2265-4_6.
Texto completo da fonteTrabalhos de conferências sobre o assunto "Recursive control"
Hu, Jun, Zidong Wang, Bo Shen, Chenxiao Cai e James Lam. "Recursive filtering for a class of nonlinear systems with missing measurements". In 2012 UKACC International Conference on Control (CONTROL). IEEE, 2012. http://dx.doi.org/10.1109/control.2012.6334756.
Texto completo da fonteJe-Nan Juang e M. Q. Phan. "Recursive deadbeat predictive control". In Proceedings of 16th American CONTROL Conference. IEEE, 1997. http://dx.doi.org/10.1109/acc.1997.610891.
Texto completo da fonteHarb, A., A. Zaher e M. Zohdy. "Nonlinear recursive chaos control". In Proceedings of 2002 American Control Conference. IEEE, 2002. http://dx.doi.org/10.1109/acc.2002.1023974.
Texto completo da fonteInan, K., e P. Varaiya. "Finitely recursive processes". In 26th IEEE Conference on Decision and Control. IEEE, 1987. http://dx.doi.org/10.1109/cdc.1987.272774.
Texto completo da fonteGrishin, Y. P. "A robust limited memory recursive filter". In UKACC International Conference on Control. Control '96. IEE, 1996. http://dx.doi.org/10.1049/cp:19960704.
Texto completo da fonteEgerstedt, Magnus, e Clyde Martin. "Control-Theoretic, Recursive Smoothing Splines". In 2022 American Control Conference (ACC). IEEE, 2022. http://dx.doi.org/10.23919/acc53348.2022.9867644.
Texto completo da fonteWu, Fen, Andy Packard e Kameshwar Poolla. "Recursive Methods for Model Validation". In 1993 American Control Conference. IEEE, 1993. http://dx.doi.org/10.23919/acc.1993.4792815.
Texto completo da fonteMuske, Kenneth R., James B. Rawlings e Jay H. Lee. "Receding Horizon Recursive State Estimation". In 1993 American Control Conference. IEEE, 1993. http://dx.doi.org/10.23919/acc.1993.4792993.
Texto completo da fonteHush, Don, Chaouki Abdallah e Bill Horne. "High Order Recursive Neural Networks". In 1991 American Control Conference. IEEE, 1991. http://dx.doi.org/10.23919/acc.1991.4791314.
Texto completo da fonteChen Hanfu. "Recursive identification for ARMAX systems". In 2008 Chinese Control Conference (CCC). IEEE, 2008. http://dx.doi.org/10.1109/chicc.2008.4604959.
Texto completo da fonteRelatórios de organizações sobre o assunto "Recursive control"
Aguiar, Angel, e Terrie Walmsley. The Importance of Timing in the U.S. response to Undocumented Immigrants: A Recursive Dynamic Approach. GTAP Working Paper, maio de 2013. http://dx.doi.org/10.21642/gtap.wp75.
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