Academic literature on the topic 'Perturbation-Based methods'
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Journal articles on the topic "Perturbation-Based methods"
Hongxing, Li. "Fuzzy clustering methods based on perturbation." Fuzzy Sets and Systems 33, no. 3 (December 1989): 291–302. http://dx.doi.org/10.1016/0165-0114(89)90119-x.
Full textMartinelli, M., A. Dervieux, L. Hascoet, V. Pascual, and A. Belme. "AD-based perturbation methods for uncertainties and errors." International Journal of Engineering Systems Modelling and Simulation 2, no. 1/2 (2010): 65. http://dx.doi.org/10.1504/ijesms.2010.031872.
Full textSan-Juan, Juan Félix, Montserrat San-Martín, Iván Pérez, and Rosario López. "Hybrid perturbation methods based on statistical time series models." Advances in Space Research 57, no. 8 (April 2016): 1641–51. http://dx.doi.org/10.1016/j.asr.2015.05.025.
Full textChioua, Moncef, Bala Srinivasan, Michel Perrier, and Martin Guay. "EFFECT OF EXCITATION FREQUENCY IN PERTURBATION-BASED EXTREMUM SEEKING METHODS." IFAC Proceedings Volumes 40, no. 5 (2007): 123–28. http://dx.doi.org/10.3182/20070606-3-mx-2915.00019.
Full textIvanovs, Maksims, Roberts Kadikis, and Kaspars Ozols. "Perturbation-based methods for explaining deep neural networks: A survey." Pattern Recognition Letters 150 (October 2021): 228–34. http://dx.doi.org/10.1016/j.patrec.2021.06.030.
Full textLiu, Song-Tao, and Yuesheng Xu. "Galerkin Methods Based on Hermite Splines for Singular Perturbation Problems." SIAM Journal on Numerical Analysis 43, no. 6 (January 2006): 2607–23. http://dx.doi.org/10.1137/040607411.
Full textEl Mokhtari, Rachid, Jean-Marc Cadou, and Michel Potier-Ferry. "A two grid algorithm based on perturbation and homotopy methods." Comptes Rendus Mécanique 330, no. 12 (December 2002): 825–30. http://dx.doi.org/10.1016/s1631-0721(02)01548-6.
Full textZhang, Yale, and J. Fraser Forbes. "Performance Analysis of Perturbation-Based Methods for Real-Time Optimization." Canadian Journal of Chemical Engineering 84, no. 2 (May 19, 2008): 209–18. http://dx.doi.org/10.1002/cjce.5450840208.
Full textLi, Lan, Yong Hui He, and Bo Wang. "Comparison of Methods of Maximum Power Point Tracking of Photovoltaic Cells." Applied Mechanics and Materials 380-384 (August 2013): 3362–65. http://dx.doi.org/10.4028/www.scientific.net/amm.380-384.3362.
Full textCha, Philip D., and Austin Shin. "Perturbation Methods for the Eigencharacteristics of Symmetric and Asymmetric Systems." Shock and Vibration 2018 (October 17, 2018): 1–25. http://dx.doi.org/10.1155/2018/8609138.
Full textDissertations / Theses on the topic "Perturbation-Based methods"
Khabir, Mohmed Hassan Mohmed. "Numerical singular perturbation approaches based on spline approximation methods for solving problems in computational finance." Thesis, University of the Western Cape, 2011. http://etd.uwc.ac.za/index.php?module=etd&action=viewtitle&id=gen8Srv25Nme4_7416_1320395978.
Full textFukasaku, Kotaro. "Explorative study for stochastic failure analysis of a roughened bi-material interface: implementation of the size sensitivity based perturbation method." Thesis, Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/41114.
Full textGraf, Daniel [Verfasser], and Christian [Akademischer Betreuer] Ochsenfeld. "Development of efficient electronic-structure methods based on the adiabatic-connection fluctuation-dissipation theorem and Møller–Plesset perturbation theory / Daniel Graf ; Betreuer: Christian Ochsenfeld." München : Universitätsbibliothek der Ludwig-Maximilians-Universität, 2021. http://d-nb.info/123217629X/34.
Full textJue, Stephen Gregory. "Characterizing Neurotransmitter Receptor Activation with a Perturbation Based Decomposition Method." DigitalCommons@CalPoly, 2016. https://digitalcommons.calpoly.edu/theses/1631.
Full textBen, Gamra Siwar. "Contribution à la mise en place de réseaux profonds pour l'étude de tableaux par le biais de l'explicabilité : Application au style Tenebrisme ("clair-obscur")." Electronic Thesis or Diss., Littoral, 2023. http://www.theses.fr/2023DUNK0695.
Full textFace detection from Tenebrism paintings is of growing interest to art historians and researchers in order to estimate the illuminant location, and thereby answer several technical questions. Deep learning is gaining increasing interest due to is high performance capabilities. An optimization of Faster Region based Convolutional Neural Network has demonstrated its ability to effectively address challenges and deliver promising face detection results from Tenebrism paintings. However, deep neural networks are often characterized as "black box" because of the inherent complexity and non-linearity of their architectures. To tackle these issues, eXplainable Artificial Intelligence (XAI) is becoming an active researcj area to understand deep models. So, we propose a novel iterative XAI method based on guided perturbations to explain model's application
Al, Hosani Mohamed. "Transient and Distributed Algorithms to Improve Islanding Detection Capability of Inverter Based Distributed Generation." Doctoral diss., University of Central Florida, 2013. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/6235.
Full textPh.D.
Doctorate
Electrical Engineering and Computer Science
Engineering and Computer Science
Electrical Engineering
Dixit, Akash. "Damage modeling and damage detection for structures using a perturbation method." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/43575.
Full textWang, Yiwei. "Développement de stratégies de maintenance structurales prédictives pour aéronefs utilisant le pronostic à base de modèles." Thesis, Toulouse, INSA, 2017. http://www.theses.fr/2017ISAT0005/document.
Full textAircraft maintenance represents a major economic cost for the aviation industry. Traditionally, the aircraft maintenance is highly regulated based on fixed schedules (thus called scheduled maintenance) in order to ensure safety. The frequency of scheduled maintenance is designed to be very conservative to maintain a desirable level of reliability. Developing efficient maintenance can be an important way for airlines to allow a new profit growth. With the development of sensor technology, structural health monitoring (SHM) system, which employ a sensor network sealing inside aircraft structures to monitor the damage state, are gradually being introduced in the aviation industry. Once it is possible to monitor the structure damage state automatically and continuously by SHM systems, it enables to plan the maintenance activities according to the actual or predicted health state of the aircraft rather than a fixed schedule. This work focus on the fatigue crack propagation in the fuselage panels. The SHM system is assumed to be employed. A model-based prognostics method is developed, which enables to filter the noise of SHM data to estimate the crack size, and to predict the future health state of the panels. This predictive information is integrated into the maintenance decision-making and two types of predictive maintenance are developed. The numerical study shows that the predictive maintenance significantly reduces the maintenance cost by reducing the number of maintenance stop and the repaired panels
Abid, Fatma. "Contribution à la robustesse et à l'optimisation fiabiliste des structures Uncertainty of shape memory alloy micro-actuator using generalized polynomial chaos methodUncertainty of shape memory alloy micro-actuator using generalized polynomial chaos method Numerical modeling of shape memory alloy problem in presence of perturbation : application to Cu-Al-Zn-Mn specimen An approach for the reliability-based design optimization of shape memory alloy structure Surrogate models for uncertainty analysis of micro-actuator." Thesis, Normandie, 2019. http://www.theses.fr/2019NORMIR24.
Full textThe design of economic system leads to many advances in the fields of modeling and optimization, allowing the analysis of structures more and more complex. However, optimized designs can suffer from uncertain parameters that may not meet certain reliability criteria. To ensure the proper functioning of the structure, it is important to consider uncertainty study is called the reliability analysis. The integration of reliability analysis in optimization problems is a new discipline introducing reliability criteria in the search for the optimal configuration of structures, this is the domain of reliability optimization (RBDO). This RBDO methodology aims to consider the propagation of uncertainties in the mechanical performance by relying on a probabilistic modeling of input parameter fluctuations. In this context, this thesis focuses on a robust analysis and a reliability optimization of complex mechanical problems. It is important to consider the uncertain parameters of the system to ensure a robust design. The objective of the RBDO method is to design a structure in order to establish a good compromise between the cost and the reliability assurance. As a result, several methods, such as the hybrid method and the optimum safety factor method, have been developed to achieve this goal. To address the complexity of complex mechanical problems with uncertain parameters, methodologies specific to this issue, such as meta-modeling methods, have been developed to build a mechanical substitution model, which at the same time satisfies the efficiency and the precision of the model
Wu, Chia-Pin, and 吳佳斌. "Using Singular Perturbation Methods in Observer-based Controller Design." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/88637893484414157491.
Full text國立臺灣科技大學
電機工程系
100
The thesis is mainly to design the controller by applying the theory of singular perturbation. First of all, using the singular perturbation technique to design the output feedback controller of mechanic systems, it is similar to the design of a proportional-derivative control law. We can precede the speed control by only measuring the displacement. The controller algorithm is the rule of low-order dynamic output feedback control. It is simple and easily accomplished. Besides, when the mechanical system contains uncertain items, this thesis presents robust stability of the closed-loop system. It also offers the analysis of Lyapunov theory by solving a Riccati algebra equation and a linear matrix inequality. Furthermore, for the mismatched parameter uncertainties and matched nonlinear perturbations in a linear MIMO system, the thesis proposes a disturbance-observer based controller in which the input disturbance can be effectively estimated by using a high-gain integration observer. Finally, it is verified the practicability by numerical examples.
Book chapters on the topic "Perturbation-Based methods"
Moura, Ana S., and M. Natália D. S. Cordeiro. "Got to Write a Classic: Classical and Perturbation-Based QSAR Methods, Machine Learning, and the Monitoring of Nanoparticle Ecotoxicity." In Methods in Pharmacology and Toxicology, 195–213. New York, NY: Springer US, 2020. http://dx.doi.org/10.1007/978-1-0716-0150-1_9.
Full textNakatani, Naoki, Jia-Jia Zheng, and Shigeyoshi Sakaki. "Approach of Electronic Structure Calculations to Crystal." In The Materials Research Society Series, 209–55. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-0260-6_11.
Full textRomanazzi, Mario. "Perturbation Properties of Depth Regions." In Statistical Data Analysis Based on the L1-Norm and Related Methods, 301–12. Basel: Birkhäuser Basel, 2002. http://dx.doi.org/10.1007/978-3-0348-8201-9_25.
Full textWu, Haoze, Aleksandar Zeljić, Guy Katz, and Clark Barrett. "Efficient Neural Network Analysis with Sum-of-Infeasibilities." In Tools and Algorithms for the Construction and Analysis of Systems, 143–63. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-99524-9_8.
Full textHuynh, T. V. "A Perturbation Technique Based on the Integral Variation Method." In Stability of the Solar System and Its Minor Natural and Artificial Bodies, 390. Dordrecht: Springer Netherlands, 1985. http://dx.doi.org/10.1007/978-94-009-5398-7_46.
Full textYang, Xinyue, Hai Huang, and Xingquan Zuo. "Random Mask Perturbation Based Explainable Method of Graph Neural Networks." In Advances in Knowledge Discovery and Data Mining, 17–29. Singapore: Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-2259-4_2.
Full textVyatkin, Sergey, Alexander Romanyuk, Sergey Pavlov, and Oksana Romanyuk. "Identification of Persons Using Stereo Image Pairs and Perturbation Functions." In Biometric Identification Technologies Based on Modern Data Mining Methods, 119–33. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-48378-4_8.
Full textMori, M., and O. Ukai. "Design Sensitivity Analysis Based on Successive Perturbation Method and its Application." In Computational Mechanics ’88, 1773–74. Berlin, Heidelberg: Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-642-61381-4_465.
Full textShi, Ting C., Zhan F. Ying, Tian Y. Yuan, Yun J. Cheng, and Jia X. Lin. "A Maximum Power Point Tracking Strategy Based on Perturbation Observation Method." In Lecture Notes in Mechanical Engineering, 4447–56. Singapore: Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-8048-2_306.
Full textYang, Yong, Kan Tian, and Zhengrong Chen. "A Robust Face Recognition Method Based on AdaBoost, EHMM and Sample Perturbation." In Rough Sets and Knowledge Technology, 428–33. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24425-4_56.
Full textConference papers on the topic "Perturbation-Based methods"
Zhao, Zhao, and Roberto Leidhold. "Speed as Perturbation in Anisotropy Based Sensorless Control Methods." In 2023 11th International Conference on Power Electronics and ECCE Asia (ICPE 2023 - ECCE Asia). IEEE, 2023. http://dx.doi.org/10.23919/icpe2023-ecceasia54778.2023.10213792.
Full textLi, Marvin, Jason Wang, Jeffrey Wang, and Seth Neel. "MoPe: Model Perturbation based Privacy Attacks on Language Models." In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. Stroudsburg, PA, USA: Association for Computational Linguistics, 2023. http://dx.doi.org/10.18653/v1/2023.emnlp-main.842.
Full textDing, D. Y. "Improving Perturbation Designs for Gradient-based Optimization Methods in History Matching." In 12th European Conference on the Mathematics of Oil Recovery. Netherlands: EAGE Publications BV, 2010. http://dx.doi.org/10.3997/2214-4609.20144995.
Full textVu, Minh N., and My T. Thai. "Limitations of Perturbation-based Explanation Methods for Temporal Graph Neural Networks." In 2023 IEEE International Conference on Data Mining (ICDM). IEEE, 2023. http://dx.doi.org/10.1109/icdm58522.2023.00071.
Full textChen, Lichang, Jiuhai Chen, Heng Huang, and Minhao Cheng. "PTP: Boosting Stability and Performance of Prompt Tuning with Perturbation-Based Regularizer." In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. Stroudsburg, PA, USA: Association for Computational Linguistics, 2023. http://dx.doi.org/10.18653/v1/2023.emnlp-main.833.
Full textYang, Xixi, Li Fu, Yafeng Deng, Yuansheng Liu, Dongsheng Cao, and Xiangxiang Zeng. "GPMO: Gradient Perturbation-Based Contrastive Learning for Molecule Optimization." In Thirty-Second International Joint Conference on Artificial Intelligence {IJCAI-23}. California: International Joint Conferences on Artificial Intelligence Organization, 2023. http://dx.doi.org/10.24963/ijcai.2023/549.
Full textPokusiński, Bartłomiej M., and Marcin M. Kamiński. "On influence of the response functions on the diagrid and orthogonal grillages reliability by the stochastic iterative perturbation-based finite element method." In COMPUTER METHODS IN MECHANICS (CMM2017): Proceedings of the 22nd International Conference on Computer Methods in Mechanics. Author(s), 2018. http://dx.doi.org/10.1063/1.5019164.
Full textYu, Chaojian, Bo Han, Mingming Gong, Li Shen, Shiming Ge, Du Bo, and Tongliang Liu. "Robust Weight Perturbation for Adversarial Training." In Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. California: International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/512.
Full textRahman, T., E. L. Jansen, and P. Tiso. "A Finite Element Based Perturbation Method for Nonlinear Free Vibration of Composite Cylindrical Shells." In ASME 2009 International Mechanical Engineering Congress and Exposition. ASMEDC, 2009. http://dx.doi.org/10.1115/imece2009-11302.
Full textGeer, James, and John Fillo. "Finite Difference Schemes for Diffusion Problems Based on a Hybrid Perturbation Galerkin Method." In ASME 2006 International Mechanical Engineering Congress and Exposition. ASMEDC, 2006. http://dx.doi.org/10.1115/imece2006-16162.
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