Готові списки джерел за темами / Control

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  2. Дисертації
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Добірка наукової літератури з теми "Control"

Автор: Grafiati
Опубліковано: 4 червня 2021
Оновлено: 23 листопада 2024

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Статті в журналах з теми "Control"

1

Abdulhadi, Sana, Muhammed M. Yakoub, and Ali S. Al- Nuaimi. "The Use of Simulated Acid Rain to Show its Effect on the Morphology of Vicia faba, Educe sativa and Spinacia oleracea and their Uptake of Iron and Potassium." Continuous Research Online Library 1, no. 1 (December 4, 2017): 1–8. http://dx.doi.org/10.28915/control.0002.1.

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2

O. Khalifa, Massoudah, Salah H. Mohamed, Ibtisam M. Ahmadi, Mabrouka I. Abuzeid, Amal O. Basher, Hakma S. Zadan, Kharie M. Ali, and Mabrouka F. Omar. "Effect of Hydrogen Ions and Aluminum Chloride on Isolated Rhizobia from Medicago sativa L." Continuous Research Online Library 1, no. 1 (December 4, 2017): 1–11. http://dx.doi.org/10.28915/control.0003.1.

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Iskenderov, A. D., and R. K. Tagiyev. "OPTIMAL CONTROL PROBLEM WITH CONTROLS IN COEFFICIENTS OF QUASILINEAR ELLIPTIC EQUATION." Eurasian Journal of Mathematical and Computer Applications 1, no. 1 (2013): 21–38. http://dx.doi.org/10.32523/2306-3172-2013-1-2-21-38.

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4

Charo, R. Alta, Renate Klein, Janice Raymond, Lynette Dumble, Etienne-Emile Baulieu, and Mort Rosenblum. "Who Controls Birth Control?" Women's Review of Books 9, no. 9 (June 1992): 18. http://dx.doi.org/10.2307/4021278.

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5

Coll-Seck, Awa-Marie. "Who controls malaria control?" Nature 466, no. 7303 (July 2010): 186–87. http://dx.doi.org/10.1038/466186a.

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6

Seminara, Joseph L. "Taking Control of Controls." Ergonomics in Design: The Quarterly of Human Factors Applications 1, no. 3 (July 1993): 21–32. http://dx.doi.org/10.1177/106480469300100309.

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7

Schneider, Dirk. "Border controls: Lipids control proteins and proteins control lipids." Biochimica et Biophysica Acta (BBA) - Biomembranes 1859, no. 4 (April 2017): 507–8. http://dx.doi.org/10.1016/j.bbamem.2016.12.016.

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8

Hewing, Lukas, Kim P. Wabersich, Marcel Menner, and Melanie N. Zeilinger. "Learning-Based Model Predictive Control: Toward Safe Learning in Control." Annual Review of Control, Robotics, and Autonomous Systems 3, no. 1 (May 3, 2020): 269–96. http://dx.doi.org/10.1146/annurev-control-090419-075625.

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Анотація:
Recent successes in the field of machine learning, as well as the availability of increased sensing and computational capabilities in modern control systems, have led to a growing interest in learning and data-driven control techniques. Model predictive control (MPC), as the prime methodology for constrained control, offers a significant opportunity to exploit the abundance of data in a reliable manner, particularly while taking safety constraints into account. This review aims at summarizing and categorizing previous research on learning-based MPC, i.e., the integration or combination of MPC with learning methods, for which we consider three main categories. Most of the research addresses learning for automatic improvement of the prediction model from recorded data. There is, however, also an increasing interest in techniques to infer the parameterization of the MPC controller, i.e., the cost and constraints, that lead to the best closed-loop performance. Finally, we discuss concepts that leverage MPC to augment learning-based controllers with constraint satisfaction properties.
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9

J, Lillykutty M., and Dr Rebecca Samson. "The Use of Historical Controls in Post-Test only Non-Equivalent Control Group." International Journal of Trend in Scientific Research and Development Volume-2, Issue-4 (June 30, 2018): 2605–14. http://dx.doi.org/10.31142/ijtsrd15653.

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10

James, M. R. "Optimal Quantum Control Theory." Annual Review of Control, Robotics, and Autonomous Systems 4, no. 1 (May 3, 2021): 343–67. http://dx.doi.org/10.1146/annurev-control-061520-010444.

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This article explains some fundamental ideas concerning the optimal control of quantum systems through the study of a relatively simple two-level system coupled to optical fields. The model for this system includes both continuous and impulsive dynamics. Topics covered include open- and closed-loop control, impulsive control, open-loop optimal control, quantum filtering, and measurement feedback optimal control.
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Дисертації з теми "Control"

1

Godoy, Rodrigo Juliani Corrêa de. "Plantwide control: a review and proposal of an augmented hierarchical plantwide control design technique." Universidade de São Paulo, 2017. http://www.teses.usp.br/teses/disponiveis/3/3139/tde-07112017-140120/.

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Анотація:
The problem of designing control systems for entire plants is studied. A review of previous works, available techniques and current research challenges is presented, followed by the description of some theoretical tools to improve plantwide control, including the proposal of an augmented lexicographic multi-objective optimization procedure. With these, an augmented hierarchical plantwide control design technique and an optimal multi-objective technique for integrated control structure selection and controller tuning are proposed. The main contributions of these proposed techniques are the inclusion of system identification and optimal control tuning as part of the plantwide design procedure for improved results, support to multi-objective control specifications and support to any type of plant and controllers. Finally, the proposed techniques are applied to industrial benchmarks to demonstrate and validate its applicability.
O problema de projetar sistemas de controle para plantas inteiras é estudado. Uma revisão de trabalhos anteriores, técnicas disponíveis e atuais desafios de pesquisa é apresentada, seguida da descrição de algumas ferramentas teóricas para melhorar o controle plantwide, incluindo a proposta de um procedimento de otimização multi-objetivo lexicográfico aumentado. Com tais elementos, são propostas uma nova técnica hierárquica aumentada de projeto de sistemas de controle plantwide e uma técnica multi-objetivo para seleção de estrutura de controlador integrada à sintonia ótima do controlador. As principais contribuições das técnicas propostas são a inclusão de identificação de sistemas e sintonia ótima de controladores como parte do procedimento de projeto de controle plantwide para melhores resultados, suporte a especificações multi-objetivo e suporte a quaisquer tipos de plantas e controladores. Finalmente, as técnicas propostas são aplicadas a benchmarks industriais para demonstrar e validar sua aplicabilidade.
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2

Maslovskaya, Sofya. "Inverse Optimal Control : theoretical study." Thesis, Université Paris-Saclay (ComUE), 2018. http://www.theses.fr/2018SACLY013/document.

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Анотація:
Cette thèse s'insère dans un projet plus vaste, dont le but est de s'attaquer aux fondements mathématiques du problème inverse en contrôle optimal afin de dégager une méthodologie générale utilisable en neurophysiologie. Les deux questions essentielles sont : (a) l'unicité d'un coût pour une synthèse optimale donnée (injectivité); (b) la reconstruction du coût à partir de la synthèse. Pour des classes de coût générales, le problème apparaît très difficile même avec une dynamique triviale. On a donc attaqué l'injectivité pour des classes de problèmes spéciales : avec un coût quadratique, la dynamique étant soit non-holonome, soit affine en le contrôle. Les résultats obtenus ont permis de traiter la reconstruction pour le problème linéaire-quadratique
This PhD thesis is part of a larger project, whose aim is to address the mathematical foundations of the inverse problem in optimal control in order to reach a general methodology usable in neurophysiology. The two key questions are : (a) the uniqueness of a cost for a given optimal synthesis (injectivity) ; (b) the reconstruction of the cost from the synthesis. For general classes of costs, the problem seems very difficult even with a trivial dynamics. Therefore, the injectivity question was treated for special classes of problems, namely, the problems with quadratic cost and a dynamics, which is either non-holonomic (sub-Riemannian geometry) or control-affine. Based on the obtained results, we propose a reconstruction algorithm for the linear-quadratic problem
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3

Maslovskaya, Sofya. "Inverse Optimal Control : theoretical study." Electronic Thesis or Diss., Université Paris-Saclay (ComUE), 2018. http://www.theses.fr/2018SACLY013.

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Анотація:
Cette thèse s'insère dans un projet plus vaste, dont le but est de s'attaquer aux fondements mathématiques du problème inverse en contrôle optimal afin de dégager une méthodologie générale utilisable en neurophysiologie. Les deux questions essentielles sont : (a) l'unicité d'un coût pour une synthèse optimale donnée (injectivité); (b) la reconstruction du coût à partir de la synthèse. Pour des classes de coût générales, le problème apparaît très difficile même avec une dynamique triviale. On a donc attaqué l'injectivité pour des classes de problèmes spéciales : avec un coût quadratique, la dynamique étant soit non-holonome, soit affine en le contrôle. Les résultats obtenus ont permis de traiter la reconstruction pour le problème linéaire-quadratique
This PhD thesis is part of a larger project, whose aim is to address the mathematical foundations of the inverse problem in optimal control in order to reach a general methodology usable in neurophysiology. The two key questions are : (a) the uniqueness of a cost for a given optimal synthesis (injectivity) ; (b) the reconstruction of the cost from the synthesis. For general classes of costs, the problem seems very difficult even with a trivial dynamics. Therefore, the injectivity question was treated for special classes of problems, namely, the problems with quadratic cost and a dynamics, which is either non-holonomic (sub-Riemannian geometry) or control-affine. Based on the obtained results, we propose a reconstruction algorithm for the linear-quadratic problem
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4

Liu, Xiaolei. "Sample Size Calculations in Matched Case-Control Studies and Unmatched Case-Control Studies with Controls Contaminated." University of Cincinnati / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1221754897.

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5

Al-Battal, Nader. "Flow control for loads control." Thesis, University of Bath, 2019. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.767607.

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Анотація:
During gust encounters and turbulence aircraft are subject to extreme loads that dictate the structural requirements. Amelioration of these loads would allow reduced structural weight and therefore greater efficiency. Flow control is used for controlling the extreme loads at the fluid-structure interface. Two versions of the jet flap, normal and upstream blowing from the upper surface are studied under steady state conditions to illustrate the effectiveness of these devices at mitigating lift loads. The upstream blowing jet flap is further investigated through periodic and transient activation to demonstrate the feasibility for controlling transient gust encounters. These measurements include force, pressure and Particle Image Velocimetry measurements at a Reynolds number of 660,000 for a NACA 0012 airfoil.
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6

Favaro, Juliana. "Controle preditivo aplicado à planta piloto de neutralização de pH." Universidade de São Paulo, 2012. http://www.teses.usp.br/teses/disponiveis/3/3139/tde-16072013-170810/.

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Анотація:
Uma das técnicas de controle avançado que vem ganhando destaque no cenário econômico e ecológico, focando maior sustentabilidade e a otimização dos processos, é o controle preditivo, o qual já vem sendo aplicado em indústrias químicas e petroquímicas. Esta dissertação trata do desenvolvimento de um controle preditivo aplicado a uma planta piloto de neutralização de pH, presente no Laboratório de Controle de Processos Industriais da Escola Politécnica da Universidade de São Paulo. O desenvolvimento do projeto pode ser dividido em quatro etapas: implementação das malhas de controle regulatório, identificação dos sistemas, construção do controlador preditivo, aplicações e análises experimentais. Na primeira etapa foi necessário estudar o sistema em questão e implementar algumas malhas internas usando controladores PID. Na segunda etapa foi realizada a identificação do modelo da planta, ressaltando que pontos de operação e ajuste de parâmetros internos são determinantes para a modelagem. Já na terceira etapa desenvolveu-se um controlador preditivo, através de softwares auxiliares como o MATLAB e o IIT 800xA da ABB, que foram utilizados para o desenvolvimento e implementação do algoritmo de controle. Por fim, na última etapa, foi feita a análise e comparação dos resultados, quando se submete à planta a um controlador PID, quando aplicado um controlador preditivo em cascata com controladores PID e quando se utiliza apenas o controlador preditivo com ação direta nos atuadores.
The predictive control is an advanced control technique which has gained evidence in the economic and ecological context because the search for sustainability and process optimization. This control has already been applied by the chemical and petrochemical industries. The purpose of this project is to develop a predictive controller which will be applied in a pH neutralization plant located in the Industrial Processes Control Laboratory at Polytechnic School of the University of São Paulo. The development of this project can be divided into four stages: implementation of regulatory control loops, identification of the system, construction of the predictive controller, applications and experimental analysis. The first step is necessary in order to study the plant and to implement some internal loops using PID controllers. In the second step, the identification process of the plant model will be done. It is important to note that operating points and internal parameter settings are very important for modeling. In the third stage, using the model obtained from the identification process, a predictive controller is built from auxiliary software such as MATLAB and IIT 800xA (by ABB), which will be used for the development and implementation of the control algorithm. Finally, the last step consists in collecting and analyzing the results of the pH neutralization plant. At this stage the responses of each controller will be compared: PID controller, MPC controller in cascade mode with PID and MPC controller acting directly on actuators.
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Zanella, Júnior Aldo. "Experimentações práticas e simuladas de controle preditivo generalizado - GPC." Universidade do Estado de Santa Catarina, 2015. http://tede.udesc.br/handle/handle/2084.

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Анотація:
Made available in DSpace on 2016-12-12T20:27:38Z (GMT). No. of bitstreams: 1 Aldo Zanella Junior.pdf: 3746857 bytes, checksum: 7ff548689a89fd8090402ad4891a23c1 (MD5) Previous issue date: 2015-07-09
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
This work introduces the report of performed studies in order to evaluate the applicability of generalized predictive control (GPC) to several plants. The main goal is to analyze the GPC performance in processes with different features, analyzing the influence of its tuning parameters. The study is justified by the fact that GPC presents itself as a generalized solution for several classes of processes, which are becoming increasingly complex and demanding for traditional controllers to handle. For the purpose to prove this proposal of GPC, it was performed several tests with plants of different orders and response characteristics, real and simulated, varying controller tuning parameters and measuring some quality indices. It was evaluated the influence of tuning parameters and it was made a report of conclusions that was reached. Through obtained results, it is shown that GPC satisfies the proposal and presents favorable results.
Esta dissertação traz o relato do estudo realizado a fim de avaliar a aplicabilidade do controlador preditivo generalizado (GPC) em plantas diversas. O objetivo principal é analisar o desempenho do GPC em processos com diferentes características, analisando a influência dos seus parâmetros de sintonia. O estudo se justifica pelo fato de que o GPC apresenta-se como uma solução generalizada para diversos tipos de processos, os quais estão se tornando cada vez mais complexos e com maiores exigências para o controlador. A fim de comprovar essa proposta do GPC, realizou-se inúmeros ensaios com plantas com respostas e ordem diferentes, reais e simuladas, variando-se os parâmetros de sintonia do controlador e medindo-se alguns parâmetros de qualidade. Avaliou-se a influência dos parâmetros de sintonia e fez-se um relato das conclusões a que se chegou. Através dos resultados obtidos, mostra-se que o GPC corresponde ao que se propõe para as plantas testadas e apresenta resultados favoráveis.
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8

Mirandola, André Luís de Aguiar. "Desenvolvimento de controladores de forças generalizadas em manipuladores industriais." Universidade de São Paulo, 2006. http://www.teses.usp.br/teses/disponiveis/18/18135/tde-29012016-122518/.

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Esta dissertação estuda a otimização da capacidade de interação de manipuladores robôs com o meio externo através do controle das forças e torques envolvidas no contato. Os modelos adotados para as análises levam em consideração a interação entre a extremidade do manipulador e uma superfície. Neste trabalho, são investigadas diferentes metodologias para controle de forças, assim como as vantagens e desvantagens de cada método estudado para comparar e desenvolver um controle adequado das forças de contato. Devido às divergências encontradas na literatura, foram implementadas experimentalmente duas abordagens distintas conhecidas por controle cinestático e controle híbrido. Também, como parte do ambiente experimental, foi desenvolvido um protótipo de um micro manipulador com um grau de liberdade instalado na extremidade do robô. O micro manipulador simplifica a implementação de controle de força ativo, pois trabalha de forma independente do acionamento \"fechado\" dos robôs industriais abordados no trabalho. Assim é possível manter uma força arbitraria desejada no contato com a superfície. O controlador de força se sobrepõe ao controlador de posições convencional do manipulador para produzir o comportamento desejado na interação com o meio externo.
The optimization of a conventional industrial robot manipulator capacity to interact with the surrounding environment is analyzed in this work. The models adopted for the analysis take into account the contact between the robot and an external surface. Different force control approaches are analyzed regarding their implementation advantages and disadvantages. Due to the well known contradictions in the literature experiments were carried out using the kinestatic control and the hybrid control. A micro manipulator with one degree of freedom was developed and installed at the end effector in association with the tool tester. With this system it is possible change the contact force on the surface. The simultaneous coordinate work of the robot position control and the micro manipulator system force control are use to produce a desired behavior in the interaction with the external surface.
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9

Cadwell, John Andres Jr. "Control of Longitudinal Pitch Rate as Aircraft Center of Gravity Changes." DigitalCommons@CalPoly, 2010. https://digitalcommons.calpoly.edu/theses/426.

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In order for an aircraft to remain in stable flight, the center of gravity (CG) of an aircraft must be located in front of the center of lift (CL). As the center of gravity moves rearward, pitch stability decreases and the sensitivity to control input increases. This increase in sensitivity is known as pitch gain variance. Minimizing the pitch gain variance results in an aircraft with consistent handling characteristics across a broad range of center of gravity locations. This thesis focuses on the development and testing of an open loop computer simulation model and a closed loop control system to minimize pitch axis gain variation as center of gravity changes. DATCOM and MatLab are used to generate the open loop aircraft flight model; then a closed loop PD (proportional-derivate) controller is designed based on Ziegler-Nichols closed loop tuning methods. Computer simulation results show that the open loop control system exhibited unacceptable pitch gain variance, and that the closed loop control system not only minimizes gain variance, but also stabilizes the aircraft in all test cases. The controller is also implemented in a Scorpio Miss 2 radio controlled aircraft using an onboard microprocessor. Flight testing shows that performance is satisfactory.
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Renfrew, David T. "TRAFFIC SIGNAL CONTROL WITH ANT COLONY OPTIMIZATION." DigitalCommons@CalPoly, 2009. https://digitalcommons.calpoly.edu/theses/190.

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Traffic signal control is an effective way to improve the efficiency of traffic networks and reduce users’ delays. Ant Colony Optimization (ACO) is a metaheuristic based on the behavior of ant colonies searching for food. ACO has successfully been used to solve many NP-hard combinatorial optimization problems and its stochastic and decentralized nature fits well with traffic flow networks. This thesis investigates the application of ACO to minimize user delay at traffic intersections. Computer simulation results show that this new approach outperforms conventional fully actuated control under the condition of high traffic demand.
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Книги з теми "Control"

1

Kumar, Jamdagni, ed. Controle: In control. Amsterdam: Mets & Schilt, 2009.

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2

Anderson, Patrick. Control systems: Classical controls. Delhi: Global Media, 2009.

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3

Horwitz, Allan V. The logic of social control. New York: Plenum Press, 1990.

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4

Isermann, Rolf. Digital Control Systems: Volume 2: Stochastic Control, Multivariable Control, Adaptive Control, Applications. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991.

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5

Gibbs, Jack P. Control: Sociology's central notion. Urbana: University of Illinois Press, 1989.

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6

Curran, Kim. Control. Long Island City, N.Y: Strange Chemistry, 2013.

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7

Lulaj, Armando. Control. Cinisello Balsamo, Milano: Silvana editoriale, 2020.

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author, C. Cardeno, ed. Control. Tallahassee, FL: Dreamspinner Press, 2014.

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9

Bimer, Adolfo. Control. Lima: Meier Ramirez, 2018.

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10

Owens, Everett. Control. Columbus, OH: Atlas Editions, Inc., 1997.

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Частини книг з теми "Control"

1

Jaeger, Richard F. "Control Quality Control." In A Collection of Papers Presented at the 1978, 1979, and 1980 Meetings of the Materials & Equipment/Whitewares: Ceramic Engineering and Science Proceedings, Volume 1, Issue 9/10, 815–17. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2008. http://dx.doi.org/10.1002/9780470291047.ch24.

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2

Unger, Dieter. "Electrical Controls and Control Modes." In Lifts and Escalators, 89–99. Berlin, Heidelberg: Springer Berlin Heidelberg, 2023. http://dx.doi.org/10.1007/978-3-662-67822-0_7.

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3

Zangl, Quirin, and Alexander Choukèr. "Metabolic Control: Immune Control?" In SpringerBriefs in Space Life Sciences, 111–19. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-41466-9_9.

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4

Niu, Steve S., and Deyun Xiao. "Control Typicals: Equipment Control." In Advances in Industrial Control, 381–432. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-97067-3_11.

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Bährle-Rapp, Marina. "control." In Springer Lexikon Kosmetik und Körperpflege, 127. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-71095-0_2399.

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6

Bestaoui Sebbane, Yasmina. "Control." In Lighter than Air Robots, 165–217. Dordrecht: Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-2663-5_5.

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Peel, Sandra. "Control." In Granulated Metrial Gland Cells, 75–82. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-74170-8_8.

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Baker, Michael J. "Control." In Marketing Strategy and Management, 491–514. London: Macmillan Education UK, 1992. http://dx.doi.org/10.1007/978-1-349-22167-7_21.

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9

Lunau, Stephan, Renata Meran, Alexander John, Olin Roenpage, and Christian Staudter. "Control." In Management for Professionals, 345–87. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-35882-1_6.

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10

Sencer, Burak. "Control." In CIRP Encyclopedia of Production Engineering, 1–5. Berlin, Heidelberg: Springer Berlin Heidelberg, 2018. http://dx.doi.org/10.1007/978-3-642-35950-7_6525-4.

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Тези доповідей конференцій з теми "Control"

1

Chen, Chao, and Xi-Ming Sun. "Command switching strategy based safety protection control for aeroengines." In 2012 UKACC International Conference on Control (CONTROL). IEEE, 2012. http://dx.doi.org/10.1109/control.2012.6334666.

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2

Alsaab, Ahmad, and Robert Bicker. "Improving velocity obstacle approach for obstacle avoidance in indoor environments." In 2014 UKACC International Conference on Control (CONTROL). IEEE, 2014. http://dx.doi.org/10.1109/control.2014.6915161.

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3

Lau, Sook Yen, and Wasif Naeem. "Tensegrity-based formation control of unmanned vehicles." In 2012 UKACC International Conference on Control (CONTROL). IEEE, 2012. http://dx.doi.org/10.1109/control.2012.6334592.

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4

Liu, Xueqin, Kang Li, Marion McAfee, and Jing Deng. "Polymer extrusion process monitoring using nonlinear dynamic model-based PCA." In 2012 UKACC International Conference on Control (CONTROL). IEEE, 2012. http://dx.doi.org/10.1109/control.2012.6334593.

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5

Xu, Lijun, Kang Li, Minrui Fei, and Dajun Du. "A new bandwidth scheduling method for networked learning control." In 2012 UKACC International Conference on Control (CONTROL). IEEE, 2012. http://dx.doi.org/10.1109/control.2012.6334594.

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6

Zhang, Long, Kang Li, and Shujuan Wang. "An improved conjugate gradient algorithm for radial basis function (RBF) networks modelling." In 2012 UKACC International Conference on Control (CONTROL). IEEE, 2012. http://dx.doi.org/10.1109/control.2012.6334595.

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7

Deng, Jing, Ziqi Yang, Kang Li, Gary Menary, and Eileen Harkin-Jones. "Heuristically optimized RBF neural model for the control of section weights in stretch blow moulding." In 2012 UKACC International Conference on Control (CONTROL). IEEE, 2012. http://dx.doi.org/10.1109/control.2012.6334596.

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8

Alvarez, Teresa, and Anuar Salim. "How to reduce congestion on TCP/AQM networks with simple adaptive PID controllers." In 2012 UKACC International Conference on Control (CONTROL). IEEE, 2012. http://dx.doi.org/10.1109/control.2012.6334597.

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9

Kamali, Marzieh, Javad Askari, Farid Sheikholeslam, and Ali Khaki Sedigh. "Robust adaptive actuator failure compensation controller for systems with unknown time-varying state delays." In 2012 UKACC International Conference on Control (CONTROL). IEEE, 2012. http://dx.doi.org/10.1109/control.2012.6334598.

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Steffen, T., R. Dixon, and R. Goodall. "Invariant control of non-linear elements in a stacked High Redundancy Actuator." In 2012 UKACC International Conference on Control (CONTROL). IEEE, 2012. http://dx.doi.org/10.1109/control.2012.6334599.

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Звіти організацій з теми "Control"

1

Lemmon, Michael. Supervisory Control of Networked Control Systems. Fort Belvoir, VA: Defense Technical Information Center, January 2006. http://dx.doi.org/10.21236/ada442404.

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2

Narenda, Kumpati S. Decentralized Control and Decentralized Adaptive Control. Fort Belvoir, VA: Defense Technical Information Center, June 2006. http://dx.doi.org/10.21236/ada454926.

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3

CORPS OF ENGINEERS WASHINGTON DC. Management Information Control: Management Information Control System. Fort Belvoir, VA: Defense Technical Information Center, January 1990. http://dx.doi.org/10.21236/ada404680.

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4

Wu, N. E. Control Reconfiguration of Command and Control Systems. Fort Belvoir, VA: Defense Technical Information Center, January 2007. http://dx.doi.org/10.21236/ada462717.

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5

Lally, Michael J. Movement Control. Fort Belvoir, VA: Defense Technical Information Center, April 1999. http://dx.doi.org/10.21236/ada363952.

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6

Friedman, Avner. Flow Control. Fort Belvoir, VA: Defense Technical Information Center, December 1994. http://dx.doi.org/10.21236/ada289262.

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7

Fagley, Casey. Flow Control. Fort Belvoir, VA: Defense Technical Information Center, April 2013. http://dx.doi.org/10.21236/ada585783.

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8

Reynolds, W. C. Flow Control. Fort Belvoir, VA: Defense Technical Information Center, April 1991. http://dx.doi.org/10.21236/ada238855.

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9

Espinel Correal, Carlos. Control Biológico. Corporación Colombiana de Investigación Agropecuaria - AGROSAVIA, 2022. http://dx.doi.org/10.21930/agrosavia.video.2022.3.

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Анотація:
La Agencia de Desarrollo Rural, ADR y la Corporación Colombiana de Investigación Agropecuaria, AGROSAVIA. En equipo continúan con tips para el manejo de Agroinsumos. Este video habla sobre el control biológico, cuando usamos enemigos naturales para bajar la cantidad de población que hay en un cultivo.
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Mynick, H. E., and N. Pomphrey. Control-matrix approach to stellarator design and control. Office of Scientific and Technical Information (OSTI), February 2000. http://dx.doi.org/10.2172/751065.

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