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Готові списки джерел за темами / Recursive control

Добірка наукової літератури з теми "Recursive control"

Автор: Grafiati

Опубліковано: 7 липня 2024

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Статті в журналах з теми "Recursive control":

1

Megha Agarwal and Indra Gupta. "Chip Architecture for Data Sorting Using Recursive Algorithm." Journal of Technology Management for Growing Economies 1, no. 1 (April 26, 2010): 93–102. http://dx.doi.org/10.15415/jtmge.2010.11006.

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“This paper suggests a way to implement recursive algorithm on hardware with an example of sorting of numeric data. Every recursive call/return needs a mechanism to store/restore parameters, local variables and return addresses respectively. Also a control sequence is needed to control the flow of execution as in case of recursive call and recursive return. The number of states required for the execution of a recursion in hardware can be reduced compared with software. This paper describes all the details that are required to implement recursive algorithm in hardware. For implementation, all the entities are designed using VHDL and are synthesized, configured on Spartan-2 XC2S200-5PQ208. “

2

Bobál, Vladimír, Petr Chalupa, Marek Kubalčík, and Petr Dostál. "Self-Tuning Predictive Control of Nonlinear Servo-Motor." Journal of Electrical Engineering 61, no. 6 (November 1, 2010): 365–72. http://dx.doi.org/10.2478/v10187-010-0056-x.

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Self-Tuning Predictive Control of Nonlinear Servo-MotorThe paper is focused on a design of a self-tuning predictive model control (STMPC) algorithm and its application to a control of a laboratory servo motor. The model predictive control algorithm considers constraints of a manipulated variable. An ARX model is used in the identification part of the self-tuning controller and its parameters are recursively estimated using the recursive least squares method with the directional forgetting. The control algorithm is based on the Generalised Predictive Control (GPC) method and the optimization was realized by minimization of a quadratic and absolute values objective functions. A recursive control algorithm was designed for computation of individual predictions by incorporating a receding horizon principle. Proposed predictive controllers were verified by a real-time control of highly nonlinear laboratory model — Amira DR300.

3

OSTOJIC, MILE. "Recursive control of robotic motion." International Journal of Control 64, no. 5 (July 1996): 775–87. http://dx.doi.org/10.1080/00207179608921656.

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4

Skiadas, Costis. "Robust control and recursive utility." Finance and Stochastics 7, no. 4 (October 1, 2003): 475–89. http://dx.doi.org/10.1007/s007800300100.

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5

Ushakov, Mariya S., and Alexander I. Legalov. "Verification of Programs with Mutual Recursion in the Pifagor Language." Modeling and Analysis of Information Systems 25, no. 4 (August 27, 2018): 358–81. http://dx.doi.org/10.18255/1818-1015-2018-4-358-381.

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In the article, we consider verification of programs with mutual recursion in the data driven functional parallel language Pifagor. In this language the program could be represented as a data flow graph, that has no control connections, and has only data relations. Under these conditions it is possible to simplify the process of formal verification, since there is no need to analyse resource conflicts, which are present in the systems with ordinary architectures. The proof of programs correctness is based on the elimination of mutual recursions by program transformation. The universal method of mutual recursion of an arbitrary number of functions elimination consists in constructing the universal recursive function that simulates all the functions in the mutual recursion. A natural number is assigned to each function in mutual recursion. The universal recursive function takes as its argument the number of a function to be simulated and the arguments of this function. In some cases of the indirect recursion it is possible to use a simpler method of program transformation, namely, the merging of the functions code into a single function. To remove mutual recursion of an arbitrary number of functions, it is suggested to construct a graph of all connected functions and transform this graph by removing functions that are not connected with the target function, then by merging functions with indirect recursion and finally by constructing the universal recursive function. It is proved that in the Pifagor language such transformations of functions as code merging and universal recursive function construction do not change the correctness of the initial program. An example of partial correctness proof is given for the program that parses a simple arithmetic expression. We construct the graph of all connected functions and demonstrate two methods of proofs: by means of code merging and by means of the universal recursive function.

6

Dai, Zhi Hua, Yu An Pan, and Jie Yao. "Parameters Recursive Identification of Minimum Variance Control." Applied Mechanics and Materials 347-350 (August 2013): 15–18. http://dx.doi.org/10.4028/www.scientific.net/amm.347-350.15.

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we discuss the problem of parameters recursive identification and designing of optimal input signal for minimum variance control from the point of system identification. we propose multi-innovation recursive least-squares identification method and separable iterative recursive least-squares identification method to identify and estimate it on line. Finally, the efficiency and possibility of the proposed strategy can be confirmed by the simulation example results.

7

Siwczyński, M., and 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, no. 6 (December 1, 2017): 827–32. http://dx.doi.org/10.1515/bpasts-2017-0090.

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AbstractThe paper presents the new optimal real-time control algorithm of the power source. The minimum of the square-instantaneous current was assumed as an optimal criterion, with an additional constraint on source instantaneous power. The mathematical model of a multiphase source was applied as a voltage-current convolution in the discrete time domain. The resulting control algorithm was the recursive digital filter with infinite recursion.

8

Ma, Baosen, Wenhui Pei, and Qi Zhang. "Trajectory Tracking Control of Autonomous Vehicles Based on an Improved Sliding Mode Control Scheme." Electronics 12, no. 12 (June 20, 2023): 2748. http://dx.doi.org/10.3390/electronics12122748.

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This paper addresses the issue of external unknown environmental interference affecting the trajectory tracking performance and driving stability of autonomous vehicles. This seriously impacts the performance and stability of the vehicle while driving. In order to provide precise, reliable, and safe trajectory tracking performance for autonomous vehicles, this paper proposes a recursive integral terminal sliding mode control (RITSMC) method. The proposed RITSMC combines the advantages of recursive integral sliding mode (RISM), terminal sliding mode (TSM), and adaptive algorithms, and can effectively achieve precise trajectory tracking and driving stability of autonomous vehicles. Furthermore, compared with traditional methods, an adaptive algorithm is introduced on the recursive sliding surface to enable real-time adaptation of the control parameters of the recursive controller, further improving the trajectory tracking accuracy and driving stability of autonomous vehicles. The stability of this control system is demonstrated by using a Lyapunov function. Finally, multiple simulation tests were conducted on different lane speeds on both wet and dry asphalt road sections. By comparing the simulation results, it was found that the proposed RITSMC exhibits excellent performance in terms of the precision of tracking trajectories and the stability of driving, in contrast to traditional sliding mode controllers (SMC) and integral terminal sliding mode controllers (ITSMC).

9

Andréasson, Sven-Arne. "A Recursive Framework for Manufacturing Control." IFAC Proceedings Volumes 42, no. 4 (2009): 600–605. http://dx.doi.org/10.3182/20090603-3-ru-2001.0372.

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10

Kreutz-Delgado, K., A. Jain, and G. Rodriguez. "Recursive Formulation of Operational Space Control." International Journal of Robotics Research 11, no. 4 (August 1992): 320–28. http://dx.doi.org/10.1177/027836499201100405.

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Дисертації з теми "Recursive control":

1

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/.

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Path following and lateral stability are crucial issues for autonomous vehicles. Moreover, these problems increase in complexity when handling heavy-duty vehicles due to their poor manoeuvrability, large sizes and mass variation. In addition, uncertainties on mass may have the potential to significantly decrease the performance of the system, even to the point of destabilising it. These parametric variations must be taken into account during the design of the controller. However, robust control techniques usually require offline adjustment of auxiliary tuning parameters, which is not practical and leads to sub-optimal operation. Hence, this work presents an approach to path-following and lateral control for autonomous heavy-duty vehicles subject to parametric uncertainties by using a robust recursive regulator. The main advantage of the proposed controller is that it does not depend on the offline adjustment of tuning parameters. Parametric uncertainties were assumed to be on the payload, and an H∞ controller was used for performance comparison in simulations. The performance of both controllers is evaluated in a double lane-change manoeuvre. Simulation results showed that the proposed method had better performance in terms of robustness, lateral stability, driving smoothness and safety, which demonstrates that it is a very promising control technique for practical applications. Ultimately, experiment tests in a rigid heavy-duty truck validate what was found in simulation results.
O 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.

2

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.

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Dissertação para obtenção do Grau de Mestre em Engenharia Electrotécnica e de Computadores
The 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.

3

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/.

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4

Sarkar, Subhasis. "Recursive formulations of multibody systems in open loop configuration." Diss., Georgia Institute of Technology, 1992. http://hdl.handle.net/1853/12414.

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5

ABDALLA, TALAL ALMUTAZ ALMANSI. "Recursive Algorithms for Set-Membership Estimation." Doctoral thesis, Politecnico di Torino, 2022. https://hdl.handle.net/11583/2972788.

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6

Baker, 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.

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7

Natarajan, Bharath. "Area Access Control Systems: Zone Management And Personnel Tracking." [Tampa, Fla.] : University of South Florida, 2005. http://purl.fcla.edu/fcla/etd/SFE0001247.

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8

Boonnithivorakul, 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.

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9

Burridge, 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.

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University of Central Florida College of Engineering Thesis
In 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.

10

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.

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Книги з теми "Recursive control":

1

Juang, Jer-Nan. Recursive deadbeat controller design. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1997.

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2

Chʻen, Han-Fu. Recursive estimation and control for stochastic systems. New York: Wiley, 1985.

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3

Voicu, Mihail. Non-recursive models in control system analysis and design. Iași: Editura Dosoftei, 1997.

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4

Gajić, Zoran. Singularly perturbed and weakly coupled linear control systems: A recursive approach. Berlin: Springer-Verlag, 1990.

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5

G, Rodriguez, and 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.

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6

Sundararajan, 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.

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7

Regalia, Phillip A. Adaptive IIR filtering in signal processing and control. New York: M. Dekker, 1995.

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8

Damaren, C. J. On the relationship between discrete-time optimal control and recursive dynamics for elastic multibody chains. [S.l.]: American Mathematical Society, 1989.

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9

Alyukov, Sergey. Approximation of piecewise linear and generalized functions. ru: INFRA-M Academic Publishing LLC., 2024. http://dx.doi.org/10.12737/2104876.

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The monograph is devoted to piecewise linear and generalized functions. They are widely used in various fields of research: in the theory of signal transmission and transformation, quantum field theory, control theory, problems of nonlinear dynamics, structural mechanics, semiconductor theory, economic applications, medicine, description of impulse effects and many others. When creating mathematical models, in some cases it is necessary to approximate these functions using analytical expressions, but not in the form of linear combinations, as in known methods, but in the form of attachments, compositions, using recursive sequences. The considered methods are devoid of the disadvantages of Fourier series and have advantages over other approximation methods. The developed approximation methods help to understand the meaning and content of generalized functions and their derivatives, and contribute to the conscious application of these functions in mathematical modeling problems. These methods can be used in a wide range of applied research, from medicine to quantum electronics. The theoretical material is illustrated by a large number of practical examples from a wide variety of applied fields. The fundamentals of the developed macroeconomic theory with impulse, shock, spasmodic characteristics and other types of rapidly changing processes are presented. For mathematicians, students and teachers, and specialists working in applied research fields.

10

Spain) 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. Edited by Montaña, Jose Luis, 1961- editor of compilation and Pardo, L. M. (Luis M.), editor of compilation. Providence, Rhode Island: American Mathematical Society, 2013.

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Частини книг з теми "Recursive control":

1

Sepulchre, Dr R., M. Janković, and 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.

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2

Liu, 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.

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3

Bhatnagar, S., H. Prasad, and 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.

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4

Landau, Ioan Doré, Rogelio Lozano, Mohammed M’Saad, and 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.

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5

Landau, Ioan Doré, Rogelio Lozano, Mohammed M’Saad, and 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.

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6

Landau, I. D., R. Lozano, and 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.

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7

Landau, I. D., R. Lozano, and 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.

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8

Iwamoto, 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.

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9

Hayes, David A., Peyman Teymoori, and 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.

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10

Flamini, 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.

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Тези доповідей конференцій з теми "Recursive control":

1

Hu, Jun, Zidong Wang, Bo Shen, Chenxiao Cai, and 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.

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2

Je-Nan Juang and 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.

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3

Harb, A., A. Zaher, and M. Zohdy. "Nonlinear recursive chaos control." In Proceedings of 2002 American Control Conference. IEEE, 2002. http://dx.doi.org/10.1109/acc.2002.1023974.

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4

Inan, K., and P. Varaiya. "Finitely recursive processes." In 26th IEEE Conference on Decision and Control. IEEE, 1987. http://dx.doi.org/10.1109/cdc.1987.272774.

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5

Grishin, 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.

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6

Egerstedt, Magnus, and Clyde Martin. "Control-Theoretic, Recursive Smoothing Splines." In 2022 American Control Conference (ACC). IEEE, 2022. http://dx.doi.org/10.23919/acc53348.2022.9867644.

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7

Wu, Fen, Andy Packard, and Kameshwar Poolla. "Recursive Methods for Model Validation." In 1993 American Control Conference. IEEE, 1993. http://dx.doi.org/10.23919/acc.1993.4792815.

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8

Muske, Kenneth R., James B. Rawlings, and Jay H. Lee. "Receding Horizon Recursive State Estimation." In 1993 American Control Conference. IEEE, 1993. http://dx.doi.org/10.23919/acc.1993.4792993.

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9

Hush, Don, Chaouki Abdallah, and Bill Horne. "High Order Recursive Neural Networks." In 1991 American Control Conference. IEEE, 1991. http://dx.doi.org/10.23919/acc.1991.4791314.

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Chen Hanfu. "Recursive identification for ARMAX systems." In 2008 Chinese Control Conference (CCC). IEEE, 2008. http://dx.doi.org/10.1109/chicc.2008.4604959.

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Звіти організацій з теми "Recursive control":

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Aguiar, Angel, and Terrie Walmsley. The Importance of Timing in the U.S. response to Undocumented Immigrants: A Recursive Dynamic Approach. GTAP Working Paper, May 2013. http://dx.doi.org/10.21642/gtap.wp75.

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Анотація:

In an attempt to control the flow of undocumented immigrants, successive US governments have considered everything from large scale deportation, amnesties, expanding visa programs, to fining firms who hire illegal workers. Using a comparative static model, Aguiar and Walmsley (2013), find that amnesties have a positive impact on the US economy. However such policies are one-time changes in the labor force, whose benefits diminish over time, and which are unlikely to stem the flow of undocumented workers or fulfill the demands of U.S. firms for cheap foreign labor. In this paper we use a global dynamic model to investigate the long run implications of three alternative policy scenarios: 1) a one-time amnesty for undocumented workers living in the US; 2) a permanent increase in the number of foreign worker visas; and 3) enhanced border security. We find that an amnesty is much less effective than a permanent increase in visas at promoting growth in the U.S., while enhanced border control by the U.S. is beneficial for Mexico in terms real GDP. Key words: Global Dynamic General Equilibrium Model, USA Migration Policy, Permanent, One-off temporary policy changes, undocumented migrants.