Relevant bibliographies by topics / Robuck

Academic literature on the topic 'Robuck'

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Published: 27 July 2024
Last updated: 28 July 2024

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Journal articles on the topic "Robuck"

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Purnama, Drajat Indra, and Pardomuan Robinson Sihombing. "PERBANDINGAN ANALISIS KOMPONEN UTAMA DAN ROBUST PCA (ROBPCA)." Jurnal Bayesian : Jurnal Ilmiah Statistika dan Ekonometrika 1, no. 1 (March 2, 2021): 67–76. http://dx.doi.org/10.46306/bay.v1i1.7.

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Sulawesi Selatan merupakan provinsi di wilayah timur Indonesia yang merupakan pintu gerbang menuju beberapa wilayah atau kota di Indonesia Timur. Tingkat kesejahteraan penduduk Sulawesi Selatan dapat diukur salah satunya dengan menghitung pengeluaran dalam memenuhi kebutuhan hidupnya baik kebutuhan makanan maupun bukan makanan. Pada penelitian ini akan dilakukan analisis terhadap rata-rata pengeluaran per kapita sebulan pada empat belas kelompok makanan. Untuk memudahkan analisis terhadap variabel yang jumlahnya banyak maka perlu dilakukan penyederhanaan jumlah variabel menggunakan analisis kompone utama dengan metode PCA klasik dan ROBPCA. Hasil yang didapat metode ROBPCA memberikan performa yang lebih baik dari pada PCA klasik, hal ini dapat dilihat model ROBPCA mampu menghasilkan jumlah komponen utama yang lebih sedikit daripada variabel asalnya, hanya dengan 3 komponen sudah mampu menjelaskan hingga 80,69 persen
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Hubert, Mia, Peter J. Rousseeuw, and Karlien Vanden Branden. "ROBPCA: A New Approach to Robust Principal Component Analysis." Technometrics 47, no. 1 (February 2005): 64–79. http://dx.doi.org/10.1198/004017004000000563.

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Noor, Amina, Aitzaz Ahmad, Erchin Serpedin, Mohamed Nounou, and Hazem Nounou. "ROBNCA: robust network component analysis for recovering transcription factor activities." Bioinformatics 29, no. 19 (August 11, 2013): 2410–18. http://dx.doi.org/10.1093/bioinformatics/btt433.

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Leotta, Maurizio, Andrea Stocco, Filippo Ricca, and Paolo Tonella. "Robula+: an algorithm for generating robust XPath locators for web testing." Journal of Software: Evolution and Process 28, no. 3 (March 2016): 177–204. http://dx.doi.org/10.1002/smr.1771.

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Chary, V. Vishnu Vardhan, and Ch Sandeep Ch.Sandeep. "Robust Offline Signature Verification." International Journal of Scientific Research 2, no. 12 (June 1, 2012): 93–95. http://dx.doi.org/10.15373/22778179/dec2013/30.

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YULIANI, NI WAYAN, I. KOMANG GDE SUKARSA, and I. GUSTI AYU MADE SRINADI. "PERBANDINGAN REGRESI KOMPONEN UTAMA DAN ROBPCA DALAM MENGATASI MULTIKOLINEARITAS DAN PENCILAN PADA REGRESI LINEAR BERGANDA." E-Jurnal Matematika 2, no. 4 (January 22, 2014): 1. http://dx.doi.org/10.24843/mtk.2013.v02.i04.p050.

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Multiple linear regression analysis with a lot of independent variable always makes many problems because there is a relationship between two or more independent variables. The independent variables which correlated each other are called multicollinearity. Principal component analysis which based on variance covariance matrix is very sensitive toward the existence of outlier in the observing data. Therefore in order to overcome the problem of outlier it is needed a method of robust estimator toward outlier. ROBPCA is a robust method for PCA toward the existence of outlier in the data. In order to obtain the robust principal component is needed a combination of Projection Pursuit (PP) with Minimum Covariant Determinant (MCD). The results showed that the ROBPCA method has a bias parameter and Mean Square Error (MSE) parameter lower than Principal Component Regression method. This case shows that the ROBPCA method better cope with the multicollinearity observational data influenced by outlier.
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Mayaud, L., S. Filipe, L. Pétégnief, O. Rochecouste, and M. Congedo. "Robust Brain-computer Interface for virtual Keyboard (RoBIK): Project results." IRBM 34, no. 2 (April 2013): 131–38. http://dx.doi.org/10.1016/j.irbm.2013.01.013.

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Aung, Zaw Win. "A Robust Speaker Identification System." International Journal of Trend in Scientific Research and Development Volume-2, Issue-5 (August 31, 2018): 2057–64. http://dx.doi.org/10.31142/ijtsrd18274.

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Kondolembang, Ferry. "PEMODELAN STATISTICAL DOWNSCALLING DENGAN PENDEKATAN REGRESI BAYES ROBUST PCA (STUDI KASUS : DATA GCM STASIUN AMBON)." BAREKENG: Jurnal Ilmu Matematika dan Terapan 6, no. 2 (December 1, 2012): 45–50. http://dx.doi.org/10.30598/barekengvol6iss2pp45-50.

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Masalah mendasar dari prediksi prediksi model curah hujan adalah keakuratan model berdasarkan proses stokhastik skala global maupun skala kecil. Statistical Downscalling(SD) merupakan salah satu alternatif untuk mengatasi masalah tersebut. SD adalah model yang menghubungkan skala global GCM dengan skala yang lebih kecil (lokal) dengan jalanpra-pemrosesan .reduksi dimensi domain grid untuk mengatasi kasus multikolinearitas. Metode reduksi dimensi yang serikali digunakan adalah Principal Component Analysis(PCA). Namun PCA tidak dapat diandalkan jika ada pengamatan outlier dalam data, sehingga diperlukan reduksi dimensi yang robust. Reduksi dimensi robust menggunakanRobust Principal Component Analysis (ROBPCA) dengan estimator robust MCD. Dari hasil reduksi dimensi domain grid tersebut selanjutnya diregresikan dengan variabel responberupa data curah hujan di stasiun Ambon dengan pendekatan regresi Bayes. Pendekatan regresi Bayes ROBUST PCA menjadi salah satu alternatif pada pemodelan SD. HasilPenelitian menunjukkan Metode regresi Bayes ROBPCA cenderung lebih baik pada domain 8x8 dilihat pada kriteria kebaikan model RMSE terkecil yaitu 231,4 dan R-Squareterbesar 38,1% dibandingkan domain 3x3 dan domain 12x12
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Prat, N., R. Acosta, and M. Rieradevall. "Presence of Symbiocladius wygodzinskyi Roback, 1965 (Diptera, Chironomidae) in Peru. Taxonomic remarks." Graellsia 69, no. 1 (February 22, 2013): 117–21. http://dx.doi.org/10.3989/graellsia.2013.v69.074.

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Dissertations / Theses on the topic "Robuck"

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Peel, Vincent Robert. "Robust methods for robust passive sonar." Thesis, University of Southampton, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.305876.

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Einicke, Garry A. "Robust filtering /." Title page, contents and introduction only, 1995. http://web4.library.adelaide.edu.au/theses/09PH/09phe35.pdf.

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Ferry, G. "Robust discrimination." Thesis, University of Newcastle Upon Tyne, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.239717.

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Sim, Melvyn 1971. "Robust optimization." Thesis, Massachusetts Institute of Technology, 2004. http://hdl.handle.net/1721.1/17725.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center, 2004.
Includes bibliographical references (p. 169-171).
We propose new methodologies in robust optimization that promise greater tractability, both theoretically and practically than the classical robust framework. We cover a broad range of mathematical optimization problems, including linear optimization (LP), quadratic constrained quadratic optimization (QCQP), general conic optimization including second order cone programming (SOCP) and semidefinite optimization (SDP), mixed integer optimization (MIP), network flows and 0 - 1 discrete optimization. Our approach allows the modeler to vary the level of conservatism of the robust solutions in terms of probabilistic bounds of constraint violations, while keeping the problem tractable. Specifically, for LP, MIP, SOCP, SDP, our approaches retain the same complexity class as the original model. The robust QCQP becomes a SOCP, which is computationally as attractive as the nominal problem. In network flows, we propose an algorithm for solving the robust minimum cost flow problem in polynomial number of nominal minimum cost flow problems in a modified network. For 0 - 1 discrete optimization problem with cost uncertainty, the robust counterpart of a polynomially solvable 0 - 1 discrete optimization problem remains polynomially solvable and the robust counterpart of an NP-hard o-approximable 0-1 discrete optimization problem, remains a-approximable.
(cont.) Under an ellipsoidal uncertainty set, we show that the robust problem retains the complexity of the nominal problem when the data is uncorrelated and identically distributed. For uncorrelated, but not identically distributed data, we propose an approximation method that solves the robust problem within arbitrary accuracy. We also propose a Frank-Wolfe type algorithm for this case, which we prove converges to a locally optimal solution, and in computational experiments is remarkably effective.
by Melvyn Sim.
Ph.D.
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Öhrström, Albin, and Jubran Muhsin Fadhil. "Robust sköljtank." Thesis, Malmö universitet, Fakulteten för teknik och samhälle (TS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-20078.

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Detta arbete behandlar framtagning av en robust sköljtank till en diskmaskin för grovdisk. Sköljtanken har en viktig roll i diskprocessen med ansvarar för att säkerställa att eventuella bakterier, diskmedel och matrester rensas i slutprocessen av diskningen. Därför ställs krav på produkten genom olika standarder för att vara godkänd för användning i diskmaskinen. Kraven berör främst vattentemperaturen samt dimensioner på ett bräddavlopp, som förhindrar att vatten från sköljtanken återströmmas till inloppsvattnet. Syftet med arbetet är att eliminera problem med överhettade värmeelment, opålitliga nivåvakter och korrosion som finns i befintlig sköljtank. Detta uppnås med framtagning av ett nytt sköljtanksystem genom en systematisk produktutvecklingsmetodik som inkluderar tillverkningsanpassad konstruktion (DFM) och miljöanpassad design (DFE). Arbetet resulterar i ett nytt system för sköljtanken med ett ovalformat tvärsnitt och beröringsfria nivåvakter. Detta nya system har ett värmeelement som alltid är täckt med vatten, ger tillförlitlig nivåmätning samt god härdighet mot korrosion. Andra viktiga förbättringar är lägre totalkostnad samt en miljöanpassad design. Det nya sköljtanksystemet lever upp till uppställda krav.
This paper is focusing on the development of a robust rinse tank in a dishwashing machine made for pot washing. The rinse tank plays an important role in the dishwashing process, that is to eliminate any bacteria, dish soap or left-overs, in the last step in the finishing process. Therefore demands on the product is set up, based on the required standards. The demands moststly affect the temperature of the water and the dimensions of an overflow, that will prevent the water from flowing back into the supply water pipelines. The purpose of this paper is to eliminate the problems that occur in the existing rinse tank, such as overheated heat element, unreliable level indicators and corrosion. To achieve this, a new robust rinse tank system is developted, by using an systematic product development method that includes design for manufacturing (DFM) and design for environment (DFE). The work results in a new system for the rinse tank, with a oval-shaped cross-section and contactless level sensors. This new system has a heat element that always is underwater, gives a reliable level indication and has a good resistance against corrosion. Other important improvements are a lower total cost together with a environmental design. The new rinse tank system satisfies the set demands.
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Rix, Andrew Iain James. "Robust rotordynamics." Thesis, University of Nottingham, 2016. http://eprints.nottingham.ac.uk/38502/.

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Vibration generated from main rotor unbalance has a major impact on the aerospace gas turbine industry. A combination of logistical and technological drivers differentiate aerospace gas turbines and their derivatives from other types of gas turbines with respect to the approach for managing vibration, leading to a bespoke approach for the design, build, and balancing. The key drivers are: limited accessibility to rotors within the engine, the requirement for exchangeable modules (sub-assemblies) of major parts of the rotor without rebalancing, the use of only low-speed balancing on pseudo-rigid rotors with bladed assemblies, very low vibration limits leading to very tight balancing limits, extreme weight limits for design solutions, and the need for highly accurate, repeatable, and stable rotor joints. This study proposes and demonstrates a novel and rapid robust design system that has been created to deal with these unique challenges. The system comprises an overarching process and a set of novel tools and methods that have been created to support the process. These tools comprise an Unbalance Response Function (URF) design method that effectively delivers a preliminary design assessment and a fast Monte-Carlo simulation and comparison method with supporting software for comparing and improving build and balance design solutions. The aim of the overall process is to generate a system that identifies and controls critical parameters, and alleviates time wasted controlling non-critical parameters. The target outcome is therefore the most cost effective, predictable and repeatable solution with respect to rotor generated vibration (i.e. robust). Two novel methods of informing and improving the outcome of the low-speed balancing process using extra information available about the rotor are also introduced.
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Anderson, Cynthia 1962. "A Comparison of Five Robust Regression Methods with Ordinary Least Squares: Relative Efficiency, Bias and Test of the Null Hypothesis." Thesis, University of North Texas, 2001. https://digital.library.unt.edu/ark:/67531/metadc5808/.

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A Monte Carlo simulation was used to generate data for a comparison of five robust regression estimation methods with ordinary least squares (OLS) under 36 different outlier data configurations. Two of the robust estimators, Least Absolute Value (LAV) estimation and MM estimation, are commercially available. Three authormodified variations on MM were also included (MM1, MM2, and MM3). Design parameters that were varied include sample size (n=60 and n=180), number of independent predictor variables (2, 3 and 6), outlier density (0%, 5% and 15%) and outlier location (2x,2y s, 8x8y s, 4x,8y s and 8x,4y s). Criteria on which the regression methods were measured are relative efficiency, bias and a test of the null hypothesis. Results indicated that MM2 was the best performing robust estimator on relative efficiency. The best performing estimator on bias was MM1. The best performing regression method on the test of the null hypothesis was MM2. Overall, the MM-type robust regression methods outperformed OLS and LAV on relative efficiency, bias, and the test of the null hypothesis.
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Lin, Jong-Lick. "Control system design for robust stability and robust performance." Thesis, University of Leicester, 1992. http://hdl.handle.net/2381/34797.

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A central problem in control system design is how to design a controller to guarantee that the closed-loop system is robustly stable and that performance requirements are satisfied despite the presence of model uncertainties and exogenous disturbance signals. The analysis problem, that is the assessment of control systems with respect to robust stability and robust performance, can be adequately solved using the structured singular value u as introduced by Doyle. The corresponding design problem (how to choose a controller K to minimize u) is still largely unsolved, but an approximate solution can be found using Doyle's D - K iteration. In this thesis we present an alternative algorithm, called u - K iteration, which works by flattening the structured singular value u over frequency. As a prelude to this a classical loop shaping approach to robust performance is presented for SISO systems, and is also based on flattening u. In u-synthesis it is often the case that real uncertainties are modelled as complex perturbations but the conservatism so introduced can be severe. On the other hand, if real uncertainties are modelled as real perturbations then D - K iteration is not relevant. It is shown that u - K iteration still works for real perturbations. In addition, a geometric approach for computing the structured singular value for a scalar problem with respect to real and/or complex uncertainty is described. This provides insight into the relationship between real u and complex u. A robust performance problem is considered for a 2-input 2-output high purity distillation column which is an ill-conditioned plant. Analysis reveals the potentially damaging effects on robustness of ill-conditioning. A design is carried out using u - K iteration and the "optimum" u compared with that obtained by Doyle and by Freudenberg for the same problem.
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Gupta, Pramod. "Robust clustering algorithms." Thesis, Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/39553.

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One of the most widely used techniques for data clustering is agglomerative clustering. Such algorithms have been long used across any different fields ranging from computational biology to social sciences to computer vision in part because they are simple and their output is easy to interpret. However, many of these algorithms lack any performance guarantees when the data is noisy, incomplete or has outliers, which is the case for most real world data. It is well known that standard linkage algorithms perform extremely poorly in presence of noise. In this work we propose two new robust algorithms for bottom-up agglomerative clustering and give formal theoretical guarantees for their robustness. We show that our algorithms can be used to cluster accurately in cases where the data satisfies a number of natural properties and where the traditional agglomerative algorithms fail. We also extend our algorithms to an inductive setting with similar guarantees, in which we randomly choose a small subset of points from a much larger instance space and generate a hierarchy over this sample and then insert the rest of the points to it to generate a hierarchy over the entire instance space. We then do a systematic experimental analysis of various linkage algorithms and compare their performance on a variety of real world data sets and show that our algorithms do much better at handling various forms of noise as compared to other hierarchical algorithms in the presence of noise.
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Cetinyurek, Aysun. "Robust Control Charts." Master's thesis, METU, 2007. http://etd.lib.metu.edu.tr/upload/3/12607987/index.pdf.

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ABSTRACT ROBUST CONTROL CHARTS Ç
etinyü
rek, Aysun M. Sc., Department of Statistics Supervisor: Dr. BariS Sü
rü
cü
Co-Supervisor: Assoc. Prof. Dr. Birdal Senoglu December 2006, 82 pages Control charts are one of the most commonly used tools in statistical process control. A prominent feature of the statistical process control is the Shewhart control chart that depends on the assumption of normality. However, violations of underlying normality assumption are common in practice. For this reason, control charts for symmetric distributions for both long- and short-tailed distributions are constructed by using least squares estimators and the robust estimators -modified maximum likelihood, trim, MAD and wave. In order to evaluate the performance of the charts under the assumed distribution and investigate robustness properties, the probability of plotting outside the control limits is calculated via Monte Carlo simulation technique.
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Books on the topic "Robuck"

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Shevlyakov, Georgy L., and Hannu Oja. Robust Correlation. Chichester, UK: John Wiley & Sons, Ltd, 2016. http://dx.doi.org/10.1002/9781119264507.

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Ackermann, Jürgen, Dieter Kaesbauer, Wolfgang Sienel, Reinhold Steinhauser, and Andrew Bartlett. Robust Control. London: Springer London, 1993. http://dx.doi.org/10.1007/978-1-4471-3365-0.

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Ackermann, Jürgen. Robust Control. London: Springer London, 2002. http://dx.doi.org/10.1007/978-1-4471-0207-6.

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Davisson, L. D., A. G. J. MacFarlane, H. Kwakernaak, J. L. Massey, Ya Z. Tsypkin, A. J. Viterbi, and Shigeyuki Hosoe, eds. Robust Control. Berlin, Heidelberg: Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/bfb0114641.

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Liu, Kang-Zhi, and Yu Yao. Robust Control. Singapore: John Wiley & Sons Singapore Pte. Ltd, 2016. http://dx.doi.org/10.1002/9781119113072.

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Fabozzi, Frank J., Petter N. Kolm, Dessislava A. Pachamanova, and Sergio M. Focardi, eds. Robust Portfolio. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2012. http://dx.doi.org/10.1002/9781119202172.

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Maronna, Ricardo A., R. Douglas Martin, Victor J. Yohai, and Matías Salibián-Barrera, eds. Robust Statistics. Chichester, UK: John Wiley & Sons, Ltd, 2018. http://dx.doi.org/10.1002/9781119214656.

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Peter, Dorato, ed. Robust control. New York: Institute of Electrical and Electronics Engineers, 1987.

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S, Maddala G., and Rao C. R, eds. Robust inference. Amsterdam: Elsevier, 1997.

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Ben-Tal, A. Robust optimization. Princeton, N.J: Princeton University Press, 2009.

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Book chapters on the topic "Robuck"

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Lieberman, E. James, Mohamed Elhammoumi, Cory H. Morris, Sven Hroar Klempe, John Jacobs, Robert J. Kelly, David C. Devonis, et al. "Roback, A. A." In Encyclopedia of the History of Psychological Theories, 952–53. New York, NY: Springer US, 2012. http://dx.doi.org/10.1007/978-1-4419-0463-8_115.

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Ackermann, Jürgen. "Parametric Plants and Controllers." In Robust Control, 1–28. London: Springer London, 2002. http://dx.doi.org/10.1007/978-1-4471-0207-6_1.

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Ackermann, Jürgen. "The Stability Radius." In Robust Control, 395–416. London: Springer London, 2002. http://dx.doi.org/10.1007/978-1-4471-0207-6_10.

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Ackermann, Jürgen. "Robustness of Sampled-data Control Systems." In Robust Control, 417–47. London: Springer London, 2002. http://dx.doi.org/10.1007/978-1-4471-0207-6_11.

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Ackermann, Jürgen. "Hurwitz-stability Boundary Crossing and Parameter Space Approach." In Robust Control, 29–58. London: Springer London, 2002. http://dx.doi.org/10.1007/978-1-4471-0207-6_2.

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Ackermann, Jürgen. "Eigenvalue Specifications." In Robust Control, 59–79. London: Springer London, 2002. http://dx.doi.org/10.1007/978-1-4471-0207-6_3.

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Ackermann, Jürgen. "Gamma-boundary Mapping into Parameter Space." In Robust Control, 80–103. London: Springer London, 2002. http://dx.doi.org/10.1007/978-1-4471-0207-6_4.

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Ackermann, Jürgen. "Frequency Domain Analysis and Design." In Robust Control, 104–70. London: Springer London, 2002. http://dx.doi.org/10.1007/978-1-4471-0207-6_5.

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Ackermann, Jürgen. "Case Studies in Car Steering." In Robust Control, 171–285. London: Springer London, 2002. http://dx.doi.org/10.1007/978-1-4471-0207-6_6.

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Ackermann, Jürgen. "Case Studies in Flight Control." In Robust Control, 286–333. London: Springer London, 2002. http://dx.doi.org/10.1007/978-1-4471-0207-6_7.

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Conference papers on the topic "Robuck"

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Noor, Amina, Aitzaz Ahmad, Erchin Serpedin, Mohamed Nounou, and Hazem Nounou. "ROBNCA: Robust Network Component Analysis for recovering transcription factor activities." In 2013 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS). IEEE, 2013. http://dx.doi.org/10.1109/gensips.2013.6735919.

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You, X. "Crosstalk-Robust Quantum Control in Multimode Bosonic Systems." In Crosstalk-Robust Quantum Control in Multimode Bosonic Systems. US DOE, 2023. http://dx.doi.org/10.2172/2228309.

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Soylemez, M. T. "Development of a robust eigenvalue assignment toolbox using a Kharitonov based approach." In IEE Colloquium on Robust Control: Theory, Software and Applications. IEE, 1997. http://dx.doi.org/10.1049/ic:19971285.

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Taylor, C. J. "Robust PIP control of multivariable stochastic systems." In IEE Colloquium on Robust Control: Theory, Software and Applications. IEE, 1997. http://dx.doi.org/10.1049/ic:19971286.

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Robertson, S. S. "Nyquist/Bode design for multivariable systems with parametric uncertainty." In IEE Colloquium on Robust Control: Theory, Software and Applications. IEE, 1997. http://dx.doi.org/10.1049/ic:19971287.

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Tan, N. "AISTK - a software package for the analysis of interval systems." In IEE Colloquium on Robust Control: Theory, Software and Applications. IEE, 1997. http://dx.doi.org/10.1049/ic:19971288.

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Baki, H. "A MATLAB toolbox for parametric uncertain models." In IEE Colloquium on Robust Control: Theory, Software and Applications. IEE, 1997. http://dx.doi.org/10.1049/ic:19971290.

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Spurgeon, S. "DSMC - a symbolic toolbox for robust nonlinear dynamic sliding mode control design." In IEE Colloquium on Robust Control: Theory, Software and Applications. IEE, 1997. http://dx.doi.org/10.1049/ic:19971292.

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Rios-Bolivar, M. "Symbolic algebra toolbox for the design of dynamical adaptive backstepping controllers." In IEE Colloquium on Robust Control: Theory, Software and Applications. IEE, 1997. http://dx.doi.org/10.1049/ic:19971293.

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Edwards, C. "Sliding mode control using only output information." In IEE Colloquium on Robust Control: Theory, Software and Applications. IEE, 1997. http://dx.doi.org/10.1049/ic:19971294.

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Reports on the topic "Robuck"

1

Morgenthaler, S., and R. Maronna. Robust Regression through Robust Covariances. Fort Belvoir, VA: Defense Technical Information Center, January 1985. http://dx.doi.org/10.21236/ada153301.

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Moura, Jose M. Robust Receivers. Fort Belvoir, VA: Defense Technical Information Center, June 2001. http://dx.doi.org/10.21236/ada387845.

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Ives, Robert Lawrence, Eric Montgomery, George Collins, David Marsden, Lou Falce, Kevin Jensen, Rasul Karimov, and Thuc Bui. Robust RF Photocathodes. Office of Scientific and Technical Information (OSTI), March 2019. http://dx.doi.org/10.2172/1498543.

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Goettler, Richard W. Robust Fiber Coatings. Fort Belvoir, VA: Defense Technical Information Center, August 2002. http://dx.doi.org/10.21236/ada407946.

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Vaccaro, Richard J. Robust Direction Finding. Fort Belvoir, VA: Defense Technical Information Center, March 2006. http://dx.doi.org/10.21236/ada444712.

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Enns, Dale. Robust Flight Control. Fort Belvoir, VA: Defense Technical Information Center, January 2003. http://dx.doi.org/10.21236/ada411755.

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Duffie, Darrell, and Piotr Dworczak. Robust Benchmark Design. Cambridge, MA: National Bureau of Economic Research, October 2014. http://dx.doi.org/10.3386/w20540.

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Thomson, M., and D. Schinazi. Maintaining Robust Protocols. RFC Editor, June 2023. http://dx.doi.org/10.17487/rfc9413.

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Gao, Xuwen, Ran Song, and Christopher Timmins. The Role of Information in the Rosen-Roback Framework. Cambridge, MA: National Bureau of Economic Research, June 2021. http://dx.doi.org/10.3386/w28943.

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Bauer, Michael, and James Hamilton. Robust Bond Risk Premia. Cambridge, MA: National Bureau of Economic Research, June 2017. http://dx.doi.org/10.3386/w23480.

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