Thematische Bibliographien / Control uncertainty

Inhaltsverzeichnis

  1. Zeitschriftenartikel
  2. Dissertationen
  3. Bücher
  4. Buchteile
  5. Konferenzberichte
  6. Berichte der Organisationen

Auswahl der wissenschaftlichen Literatur zum Thema „Control uncertainty“

Autor: Grafiati
Veröffentlicht am 4. Juni 2021
Zuletzt aktualisiert am 13. Februar 2022

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Zeitschriftenartikel zum Thema "Control uncertainty"

1

Savkin, Andrey V., and Ian R. Petersen. "Minimax optimal control of uncertain systems with structured uncertainty." International Journal of Robust and Nonlinear Control 5, no. 2 (1995): 119–37. http://dx.doi.org/10.1002/rnc.4590050204.

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Amore, Mario Daniele, and Alessandro Minichilli. "Local Political Uncertainty, Family Control, and Investment Behavior." Journal of Financial and Quantitative Analysis 53, no. 4 (2018): 1781–804. http://dx.doi.org/10.1017/s002210901800025x.

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Estimating difference-in-differences models on a comprehensive data set of Italian companies, we provide novel insights into the literature on political uncertainty and firm investment. We first establish thatlocalpolitical uncertainty leads to declining investment. Next, we show thatfamily controlneutralizes this effect: Family firms are more likely than other firms to invest during politically uncertain times, especially when operating in industries dependent on public spending and/or managed by family members. Finally, we document that this investment resilience of family firms under politi
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Khlebalin, N. A. "Control of nonlinear and uncertain systems modal control under interval uncertainty of parameters." Computational Mathematics and Modeling 5, no. 1 (1994): 44–51. http://dx.doi.org/10.1007/bf01128578.

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Savkin, Andrey V., and Ian R. Petersen. "An uncertainty averaging approach to optimal guaranteed cost control of uncertain systems with structured uncertainty." Automatica 31, no. 11 (1995): 1649–53. http://dx.doi.org/10.1016/0005-1098(95)00080-g.

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5

Rosolia, Ugo, Xiaojing Zhang, and Francesco Borrelli. "Data-Driven Predictive Control for Autonomous Systems." Annual Review of Control, Robotics, and Autonomous Systems 1, no. 1 (2018): 259–86. http://dx.doi.org/10.1146/annurev-control-060117-105215.

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In autonomous systems, the ability to make forecasts and cope with uncertain predictions is synonymous with intelligence. Model predictive control (MPC) is an established control methodology that systematically uses forecasts to compute real-time optimal control decisions. In MPC, at each time step an optimization problem is solved over a moving horizon. The objective is to find a control policy that minimizes a predicted performance index while satisfying operating constraints. Uncertainty in MPC is handled by optimizing over multiple uncertain forecasts. In this case, performance index and o
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Pesch, Alexander H., та Jerzy T. Sawicki. "3B11 Uncertainty Range Estimation for μ-Synthesis Control of AMB Spindle". Proceedings of the Symposium on the Motion and Vibration Control 2010 (2010): _3B11–1_—_3B11–9_. http://dx.doi.org/10.1299/jsmemovic.2010._3b11-1_.

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7

Wang, Yilin, Hamid Reza Karimi, and Zhengrong Xiang. "Delay-Dependent Control for Networked Control Systems with Large Delays." Mathematical Problems in Engineering 2013 (2013): 1–10. http://dx.doi.org/10.1155/2013/643174.

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We consider the problems of robust stability and control for a class of networked control systems with long-time delays. Firstly, a nonlinear discrete time model with mode-dependent time delays is proposed by converting the uncertainty of time delay into the uncertainty of parameter matrices. We consider a probabilistic case where the system is switched among different subsystems, and the probability of each subsystem being active is defined as its occurrence probability. For a switched system with a known subsystem occurrence probabilities, we give a stochastic stability criterion in terms of
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Glavin, Paul, and Scott Schieman. "Control in the Face of Uncertainty." Social Psychology Quarterly 77, no. 4 (2014): 319–43. http://dx.doi.org/10.1177/0190272514546698.

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The mental health benefits of the sense of personal control are well documented, but do these benefits persist in social contexts of powerlessness and uncertainty? Drawing from two national panel surveys of American and Canadian workers, we examine whether the association between perceived control and reduced distress is undermined by the uncertainty of threatened employment. While we find evidence that higher levels of perceived control are associated with reduced distress, the association is curvilinear among insecure workers, such that subsequent increases in control produce diminishing red
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Hartl, Richard F., Sean Holly, and Andrew Hughes-Hallet. "Optimal Control, Expectations and Uncertainty." Economic Journal 101, no. 407 (1991): 976. http://dx.doi.org/10.2307/2233873.

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10

Pedersini, R. "Perceived control and visual uncertainty." Journal of Vision 12, no. 9 (2012): 5. http://dx.doi.org/10.1167/12.9.5.

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Dissertationen zum Thema "Control uncertainty"

1

Chellaboina, Vijaya-Sekhar. "Robust stability and performance for linear and nonlinear uncertain systems with structured uncertainty." Diss., Georgia Institute of Technology, 1996. http://hdl.handle.net/1853/12903.

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Giftsun, Nirmal. "Handling uncertainty and variability in robot control." Thesis, Toulouse, INSA, 2017. http://www.theses.fr/2017ISAT0028/document.

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Parmi les nombreuses recherches en matière de planification et de contrôle des mouvements pour des applications robotiques, l'humanité n'a jamais atteint un point où les robots seraient parfaitement fonctionnels et autonomes dans des environnements dynamiques. Bien qu'il soit controversé de discuter de la nécessité de ces robots, il est très important d'aborder les problèmes qui nous empêchent de réaliser un tel niveau d'autonomie. Ce travail de recherche tente de résoudre ces problèmes qui séparent ces deux modes de fonctionnement avec un accent particulier sur les incertitudes. Les impossibi
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Rodrigues, Júnior Waldery. "Multidimensional robust control, uncertainty and finance." reponame:Repositório Institucional da UnB, 2006. http://repositorio.unb.br/handle/10482/5739.

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Tese (doutorado)—Universidade de Brasília, Departamento de Economia, Programa de Pós-Graduação em Economia, 2006.<br>Submitted by Suelen Silva dos Santos (suelenunb@yahoo.com.br) on 2010-06-22T15:26:15Z No. of bitstreams: 1 2006_WalderyRodriguesJunior.pdf: 1178236 bytes, checksum: 62fc5d96cab6c0e8c1e5a91b9c26e164 (MD5)<br>Approved for entry into archive by Marília Freitas(marilia@bce.unb.br) on 2010-10-22T15:44:18Z (GMT) No. of bitstreams: 1 2006_WalderyRodriguesJunior.pdf: 1178236 bytes, checksum: 62fc5d96cab6c0e8c1e5a91b9c26e164 (MD5)<br>Approved for entry into archive by Carolina Campos(
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Warren, Adam L. "Sequential decision-making under uncertainty /." *McMaster only, 2004.

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Loh, A. P. "Uncertainty estimation and multivariable control system design." Thesis, University of Oxford, 1986. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.375267.

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Krueger, David Lawrence. "Parametric uncertainty reduction in robust multivariable control." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1993. http://handle.dtic.mil/100.2/ADA273412.

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Dissertation (Ph.D. in Electrical Engineering) Naval Postgraduate School, September 1993.<br>Dissertation supervisor(s): Burl, Jeffery B. ; Cristi, Roberto. "September 1993." Bibliography: p. 91-91. Also available online.
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Herzallah, Randa. "Exploiting uncertainty in nonlinear stochastic control problem." Thesis, Aston University, 2003. http://publications.aston.ac.uk/13267/.

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This work introduces a novel inversion-based neurocontroller for solving control problems involving uncertain nonlinear systems which could also compensate for multi-valued systems. The approach uses recent developments in neural networks, especially in the context of modelling statistical distributions, which are applied to forward and inverse plant models. Provided that certain conditions are met, an estimate of the intrinsic uncertainty for the outputs of neural networks can be obtained using the statistical properties of networks. More generally, multicomponent distributions can be modelle
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Wilson, Mark. "Beyond control : towards an ecology of uncertainty." Thesis, University of Cumbria, 2012. http://insight.cumbria.ac.uk/id/eprint/4371/.

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With specific reference to five discrete projects, this supporting text sets out to explain the methodologies, dynamics and rationale behind the installation-based and collaborative art practice of Snæbjörnsdóttir/Wilson, in relation to contemporary art methodologies and the chronologically parallel and equally emergent academic fields of Artistic Research and Animal Studies. The projects are represented by four monographs and one book chapter, each of which has its basis in a substantial art project involving a sustained period of interdisciplinary research and practice and involving one or
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Nagengast, Arne Johannes. "Uncertainty and optimality in human motor control." Thesis, University of Cambridge, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.608786.

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Laiseca, Mario. "Tuning robust control systems under parametric uncertainty." Case Western Reserve University School of Graduate Studies / OhioLINK, 1994. http://rave.ohiolink.edu/etdc/view?acc_num=case1057590557.

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Bücher zum Thema "Control uncertainty"

1

Ackermann, Jürgen, ed. Uncertainty and Control. Springer-Verlag, 1985. http://dx.doi.org/10.1007/bfb0007278.

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2

Otley, David T., and Kim Soin. Management control and uncertainty. Palgrave Macmillan, 2014.

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Otley, David, and Kim Soin, eds. Management Control and Uncertainty. Palgrave Macmillan UK, 2014. http://dx.doi.org/10.1057/9781137392121.

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Holly, Sean. Optimal control, expectations and uncertainty. Cambridge University Press, 1989.

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5

Martínez-Frutos, Jesús, and Francisco Periago Esparza. Optimal Control of PDEs under Uncertainty. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-98210-6.

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Smith, Roy S., and Mohammed Dahleh, eds. The Modeling of Uncertainty in Control Systems. Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/bfb0036239.

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Boers, Yvo. Average performance control systems with parametric uncertainty. University of Eindhoven, 1999.

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Uncertainty and control: Future Soviet and American strategy. Pinter, 1990.

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Cimbala, Stephen J. Uncertainty and control: Future Soviet and American strategy. St. Martin's Press, 1990.

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Busoniu, Lucian, and Levente Tamás, eds. Handling Uncertainty and Networked Structure in Robot Control. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-26327-4.

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Buchteile zum Thema "Control uncertainty"

1

Zucker, Bonnie. "Tolerating Uncertainty." In Take Control of OCD. Routledge, 2021. http://dx.doi.org/10.4324/9781003238447-7.

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Zucker, Bonnie. "Tolerating Uncertainty." In Take Control of OCD, 2nd ed. Routledge, 2021. http://dx.doi.org/10.4324/9781003238430-8.

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Mackenroth, Uwe. "Representation of Uncertainty." In Robust Control Systems. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-662-09775-5_12.

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Otley, David. "Management Control under Uncertainty: Thinking about Uncertainty." In Management Control and Uncertainty. Palgrave Macmillan UK, 2014. http://dx.doi.org/10.1057/9781137392121_6.

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Bourne, Mike. "Managing through Uncertainty." In Management Control and Uncertainty. Palgrave Macmillan UK, 2014. http://dx.doi.org/10.1057/9781137392121_7.

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Zhu, Yuanguo. "Basics on Uncertainty Theory." In Uncertain Optimal Control. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-2134-4_1.

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Kurzhanski, Alexander B., and Alexander N. Daryin. "Impulse Control Under Uncertainty." In Dynamic Programming for Impulse Feedback and Fast Controls. Springer London, 2019. http://dx.doi.org/10.1007/978-1-4471-7437-0_4.

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Utkin, Vadim I. "Control Under Uncertainty Conditions." In Sliding Modes in Control and Optimization. Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/978-3-642-84379-2_13.

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Otley, David, and Kim Soin. "Management Control and Uncertainty." In Management Control and Uncertainty. Palgrave Macmillan UK, 2014. http://dx.doi.org/10.1057/9781137392121_1.

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von Collani, Elart. "Uncertainty and Quality Control." In Frontiers in Statistical Quality Control 10. Physica-Verlag HD, 2012. http://dx.doi.org/10.1007/978-3-7908-2846-7_27.

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Konferenzberichte zum Thema "Control uncertainty"

1

Najibi, Fatemeh, Eduardo Alonso, and Dimitra Apostolopoulou. "Optimal Dispatch of Pumped Storage Hydro Cascade Under Uncertainty." In 2018 UKACC 12th International Conference on Control (CONTROL). IEEE, 2018. http://dx.doi.org/10.1109/control.2018.8516823.

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Chen, Min-Shin. "Uncertainty Estimator." In 1990 American Control Conference. IEEE, 1990. http://dx.doi.org/10.23919/acc.1990.4791081.

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Haggblom, Kurt E. "Finding an LFT uncertainty model with minimal uncertainty." In 2013 European Control Conference (ECC). IEEE, 2013. http://dx.doi.org/10.23919/ecc.2013.6669799.

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Liu, Yang. "Sliding-mode control of an underactuated oilwell drill-string with parametric uncertainty." In 2014 UKACC International Conference on Control (CONTROL). IEEE, 2014. http://dx.doi.org/10.1109/control.2014.6915207.

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Ignatyev, M. B., and T. S. Katermina. "Chaos control and uncertainty." In 2016 XIX IEEE International Conference on Soft Computing and Measurements (SCM). IEEE, 2016. http://dx.doi.org/10.1109/scm.2016.7519810.

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Yang, Hao, and Rafael M. Morales. "Robust Analysis of Tonal Active Control Systems with Control Scaling and Estimation Uncertainty." In 2018 UKACC 12th International Conference on Control (CONTROL). IEEE, 2018. http://dx.doi.org/10.1109/control.2018.8516799.

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Liu, Xin, Bo Wang, Zhihong Deng, and Shunting Wang. "Rapid alignment method of INS with large initial azimuth uncertainty under complex dynamic disturbances." In 2012 UKACC International Conference on Control (CONTROL). IEEE, 2012. http://dx.doi.org/10.1109/control.2012.6334781.

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"Driver model uncertainty." In Proceedings of the 1999 American Control Conference. IEEE, 1999. http://dx.doi.org/10.1109/acc.1999.782920.

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Canuto, Enrico. "On dynamic uncertainty estimators." In 2015 American Control Conference (ACC). IEEE, 2015. http://dx.doi.org/10.1109/acc.2015.7171949.

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Pranger, Stefan, Bettina Konighofer, Martin Tappler, Martin Deixelberger, Nils Jansen, and Roderick Bloem. "Adaptive Shielding under Uncertainty." In 2021 American Control Conference (ACC). IEEE, 2021. http://dx.doi.org/10.23919/acc50511.2021.9482889.

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Berichte der Organisationen zum Thema "Control uncertainty"

1

Cohen, Paul R., and David M. Hart. The Control of Reasoning Under Uncertainty. Defense Technical Information Center, 1991. http://dx.doi.org/10.21236/ada266308.

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Slavov, Tsonio, Jordan Kralev, and Petko Petkov. Uncertainty Modelling and Robust Control of Multivariable Plants. "Prof. Marin Drinov" Publishing House of Bulgarian Academy of Sciences, 2019. http://dx.doi.org/10.7546/crabs.2019.08.12.

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Latombe, J. C., A. Lazanas, and S. Shekhar. Robot Motion Planning with Uncertainty in Control and Sensing. Defense Technical Information Center, 1989. http://dx.doi.org/10.21236/ada323613.

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MANTILLA, Cesar, and Sanjay SRINIVASAN. Feedback Control of Polymer Flooding Process Considering Geologic Uncertainty. Cogeo@oeaw-giscience, 2011. http://dx.doi.org/10.5242/iamg.2011.0228.

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Mezic, Igor. Uncertainty Analysis and Control in Nonlinear, Multiscale, Interconnected Systems. Defense Technical Information Center, 2009. http://dx.doi.org/10.21236/ada567482.

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Banks, H. T., and K. Ito. Inverse Problems, Control and Modeling in the Presence of Uncertainty. Defense Technical Information Center, 2007. http://dx.doi.org/10.21236/ada475020.

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Bienstock, Daniel, Michael Chertkov, and Sean Harnett. Chance Constrained Optimal Power Flow: Risk-Aware Network Control under Uncertainty. Office of Scientific and Technical Information (OSTI), 2012. http://dx.doi.org/10.2172/1052351.

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Attiya, Hagit, and Nancy A. Lynch. Time Bounds for Real-Time Process Control in the Presence of Timing Uncertainty. Defense Technical Information Center, 1989. http://dx.doi.org/10.21236/ada213791.

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Thomas, John R. A Hedge against Uncertainty: Using Command, Control, Communications, Computer (C4) Technology on the Battlefield. Defense Technical Information Center, 1993. http://dx.doi.org/10.21236/ada266720.

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Middlebrooks, Sam E., and Brian J. Stankiewicz. Toward the Development of a Predictive Computer Model of Decision Making During Uncertainty for Use in Simulations of U.S. Army Command and Control System. Defense Technical Information Center, 2006. http://dx.doi.org/10.21236/ada443462.

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