Relevant bibliographies by topics / Robust excitation

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Robust excitation'

Author: Grafiati
Published: 6 September 2023

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Journal articles on the topic "Robust excitation"

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Simon, G., and J. Schoukens. "Robust broadband periodic excitation design." IEEE Transactions on Instrumentation and Measurement 49, no. 2 (April 2000): 270–74. http://dx.doi.org/10.1109/19.843062.

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Iwasaki, T. "ROBUST SELF-EXCITATION BY BIOLOGICAL OSCILLATORS." IFAC Proceedings Volumes 35, no. 1 (2002): 43–48. http://dx.doi.org/10.3182/20020721-6-es-1901.00088.

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Lozano-Leal, R. "Robust adaptive regulation without persistent excitation." IEEE Transactions on Automatic Control 34, no. 12 (December 1989): 1260–67. http://dx.doi.org/10.1109/9.40771.

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Foroud, Asghar Akbari, and Hossein Seifi. "Excitation robust control by nonlinear QFT." European Transactions on Electrical Power 21, no. 1 (September 27, 2010): 1088–109. http://dx.doi.org/10.1002/etep.498.

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Takewaki, Izuru. "A Comprehensive Review of Seismic Critical Excitation Methods for Robust Design." Advances in Structural Engineering 8, no. 4 (August 2005): 349–63. http://dx.doi.org/10.1260/136943305774353160.

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A comprehensive review of strategic methods for seismic critical excitation (worst-case input) is provided to enhance the robustness of structures in the earthquake-prone region. It is inevitable that the structures in this region are subjected to disturbances including inherent uncertainties due mainly to their low rate of occurrence and worst-case analysis is expected to play an important role in avoiding difficulties induced by such uncertainties. During the last four decades, various critical excitation methods have been proposed extensively and applied to specific structural design problems, mainly for important structures of which the failure or collapse must be absolutely avoided. The degree of criticality of the extreme responses over the corresponding structural responses to recorded ground motions, deterministic or stochastic treatment, elastic or elastic-plastic responses, earthquake input energy and energy input rate indices, system-dependent critical excitations are major concerns of discussion.
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Qihua Zhao and Jin Jiang. "Robust controller design for generator excitation systems." IEEE Transactions on Energy Conversion 10, no. 2 (June 1995): 201–9. http://dx.doi.org/10.1109/60.391883.

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Zhang, Jun, Xihuai Wang, and Jianmei Xiao. "Multi-machine Power System Robust Excitation Control." Procedia Environmental Sciences 10 (2011): 350–55. http://dx.doi.org/10.1016/j.proenv.2011.09.057.

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Nayak, Pramoda K., Fan-Cheng Lin, Chao-Hui Yeh, Jer-Shing Huang, and Po-Wen Chiu. "Robust room temperature valley polarization in monolayer and bilayer WS2." Nanoscale 8, no. 11 (2016): 6035–42. http://dx.doi.org/10.1039/c5nr08395h.

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Li, Zhi Min, Xin Yang Deng, Xiao Ming Mou, Shuang Rong, Tian Kui Sun, and Zi Nan Peng. "Decentralized Robust Coordinated Controller of Excitation and Valve for Improvement of Power System Stability." Applied Mechanics and Materials 668-669 (October 2014): 462–65. http://dx.doi.org/10.4028/www.scientific.net/amm.668-669.462.

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A novel robust control scheme for decentralized generator excitation and valve coordinated control systems to improve power system stability is proposed. By utilizing generator terminal voltage magnitude and phase angle to represent the interactions among generators, decentralized generator excitation and valve coordinated control in multi-machine power systems is achieved. The control is realized by robust parametric approach. Simulation results show that the proposed robust parametric coordinated control can improve power system stability.
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Bombois, Xavier, Federico Morelli, Håkan Hjalmarsson, Laurent Bako, and Kévin Colin. "Robust optimal identification experiment design for multisine excitation." Automatica 125 (March 2021): 109431. http://dx.doi.org/10.1016/j.automatica.2020.109431.

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Dissertations / Theses on the topic "Robust excitation"

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Fan, Lingling. "Robust decentralized control of power systems through excitation systems and thyristor controlled series capacitors." Morgantown, W. Va. : [West Virginia University Libraries], 2001. http://etd.wvu.edu/templates/showETD.cfm?recnum=2242.

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Thesis (Ph. D.)--West Virginia University, 2001.
Title from document title page. Document formatted into pages; contains x, 121 p. : ill. (some col.). Vita. Includes abstract. Includes bibliographical references (p. 99-103).
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Chowdhary, Girish. "Concurrent learning for convergence in adaptive control without persistency of excitation." Diss., Georgia Institute of Technology, 2010. http://hdl.handle.net/1853/37243.

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Model Reference Adaptive Control (MRAC) is a widely studied adaptive control methodology that aims to ensure that a nonlinear plant with significant modeling uncertainty behaves like a chosen reference model. MRAC methods attempt to achieve this by representing the modeling uncertainty as a weighted combination of known nonlinear functions, and using a weight update law that ensures weights take on values such that the effect of the uncertainty is mitigated. If the adaptive weights do arrive at an ideal value that best represent the uncertainty, significant performance and robustness gains can be realized. However, most MRAC adaptive laws use only instantaneous data for adaptation and can only guarantee that the weights arrive at these ideal values if and only if the plant states are Persistently Exciting (PE). The condition on PE reference input is restrictive and often infeasible to implement or monitor online. Consequently, parameter convergence cannot be guaranteed in practice for many adaptive control applications. Hence it is often observed that traditional adaptive controllers do not exhibit long-term-learning and global uncertainty parametrization. That is, they exhibit little performance gain even when the system tracks a repeated command. This thesis presents a novel approach to adaptive control that relies on using current and recorded data concurrently for adaptation. The thesis shows that for a concurrent learning adaptive controller, a verifiable condition on the linear independence of the recorded data is sufficient to guarantee that weights arrive at their ideal values even when the system states are not PE. The thesis also shows that the same condition can guarantee exponential tracking error and weight error convergence to zero, thereby allowing the adaptive controller to recover the desired transient response and robustness properties of the chosen reference models and to exhibit long-term-learning. This condition is found to be less restrictive and easier to verify online than the condition on persistently exciting exogenous input required by traditional adaptive laws that use only instantaneous data for adaptation. The concept is explored for several adaptive control architectures, including neuro-adaptive flight control, where a neural network is used as the adaptive element. The performance gains are justified theoretically using Lyapunov based arguments, and demonstrated experimentally through flight-testing on Unmanned Aerial Systems.
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Mseddi, Amina. "Modélisation et commande d’un générateur éolien à double excitation isolé en vue de l’amélioration de son rendement et de la diminution de la fatigue mécanique." Thesis, Cergy-Pontoise, 2019. http://www.theses.fr/2019CERG1032.

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Le présent sujet contribue à la modélisation et à la commande de systèmes de conversion éoliens basés sur un Générateur Synchrone à Double Excitation (GSDE). Le degré de liberté apporté par l’excitation bobinée offre la possibilité de travailler sur l’amélioration de l’efficacité énergétique sur les cycles de fonctionnement avec sollicitations aléatoires, comme dans le cas de l’éolien.On vise, à travers cette recherche, la mise en place de techniques de commande robuste d’un GSDE en vue de l’optimisation de son rendement aérodynamique et de la réduction de la fatigue mécanique. Dans ce contexte, un générateur hybride relié à une charge isolée pour des applications éoliennes est présenté. Des modèles linéaires sont tout d’abord établis. Ces modèles sont ensuite utilisés pour mettre en place les structures de contrôle appropriées tant du point de vue électrique que mécanique. Parallèlement, des modèles non linéaires très complets sont développés permettant une validation en simulation très poussée prenant en compte les harmoniques d’espace du générateur, les effets de commutation des convertisseurs et les effets de torsion sur l’arbre. En outre, un émulateur éolien de 3 kW est construit, en vue d'évaluer expérimentalement l’apport de notre générateur hybride dans le domaine éolien puis d'améliorer les contrôleurs synthétisés. Dans ce travail, deux stratégies de contrôle robuste pour une machine hybride sont implémentées et une comparaison entre un contrôleur CRONE et un contrôleur H∞ est établie. Des résultats très satisfaisants sont obtenus avec une meilleure performance du CRONE par rapport au H∞. Outre la problématique de l’optimisation de la production du système de conversion éolien, on a aussi cherché à réduire le taux d’harmonique en recourant à deux solutions : le filtrage passif et la réduction des ondulations du couple électromagnétique par action sur le courant d’excitation. Bien qu’on ait apporté des améliorations pour de grandes vitesses de rotation de la génératrice, ces solutions restent insuffisantes pour une connexion de l’architecture proposée au réseau électrique...Une fois l’applicabilité de la GSDE dans le domaine éolien prouvée pour le cas d’un système éolien de 3 kW, nous sommes passé à une puissance plus réaliste en interfaçant notre modèle électrique avancé avec un modèle aéroélastique, disponible sur le logiciel FAST. Ce dernier permet de prendre en compte les éléments mécaniques, les couplages et les éventuelles flexibilités. La turbine choisie pour l’étude est la turbine WindPACT de puissance 1.5MW. Dans cette partie, des commandes robustes traitant la réduction de la fatigue mécanique sont élaborées.Le modèle de la turbine WindPACT basé sur le générateur hybride est finalement connecté au réseau, les lois de commande nécessaires pour cette connexion sont implémentées puis validées sous la plateforme Matlab Simulink
This subject contributes to the modeling and control of a wind conversion system based on a Double Excitation Synchronous Generator (DESG). The degree of freedom provided by the wound excitation allows the improvement of the energy efficiency on the operation’s cycles with random solicitations, as it is the case for wind turbines.The aim of this research is to implement robust control techniques for the DESG in order to optimize its aerodynamic efficiency and to reduce its mechanical loads. In this context, a hybrid generator connected to an isolated load for wind applications is presented. First, linear models are established. These models are used to set up the appropriate control structures from both an electrical and mechanical point of view. At the same time, very complete nonlinear models are developed allowing a validation in an advanced simulation platform taking into account the space harmonics of the generator, the switching effects of the converters and the torsional effects on the shaft. Moreover, a 3 kW wind emulator is built to evaluate the contribution of the hybrid generator in the wind conversion systems field and then improve the synthesized controllers. Two robust control strategies for a hybrid machine are implemented and a comparison between a CRONE controller and a H∞ controller is presented. Satisfying results are obtained with a better performance for the CRONE regulator compared to H∞ one. In addition to the problem of optimizing the production of the wind energy conversion system, attempts have also been made to reduce the generator harmonic distortion ratios by using two solutions: passive filtering and reduction of the electromagnetic torque ripple by acting on the excitation current. Although there are improvements at high rotation speeds, these solutions are not sufficient for a connection of the proposed architecture to the grid.Once the applicability of the DESG in the wind energy field has been proven in the case of a 3 kW wind conversion system, we have considered a more realistic case. To this end, we have interfaced the developed advanced electric model with an aeroelastic model available on the FAST software, to take into account the mechanical couplings and the flexibilities. The turbine chosen for the study is the WindPACT 1.5MW turbine. In this part, robust controllers dealing with the reduction of mechanical fatigue are developed.The model of WindPACT turbine based on the hybrid generator is finally connected to the grid and the control laws necessary for this connection are implemented and validated under the Matlab Simulink platform
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Azad, Abul K. "Robust Speech Filter And Voice Encoder Parameter Estimation using the Phase-Phase Correlator." Diss., Virginia Tech, 2019. http://hdl.handle.net/10919/97221.

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In recent years, linear prediction voice encoders have become very efficient in terms of computing execution time and channel bandwidth usage while providing, in the absence of im- pulsive noise, natural sounding synthetic speech signals. This good performance has been achieved via the use of a maximum likelihood parameter estimation of an auto-regressive model of order ten that best fits the speech signal under the assumption that the signal and the noise are Gaussian stochastic processes. However, this method breaks down in the presence of impulse noise, which is common in practice, resulting in harsh or non-intelligible audio signals. In this paper, we propose a robust estimator of correlation, the Phase-Phase correlator that is able to cope with impulsive noise. Utilizing this correlator, we develop a Robust Mixed Excitation Linear Prediction encoder that provides improved audio quality for voiced, unvoiced, and transition speech segments. This is achieved by applying a statistical test to robust Mahalanobis distances for identifying the outliers in the corrupted speech signal, which are then replaced with filtered signals. Simulation results reveal that the proposed method outperforms in variance, bias, and breakdown point three other robust approaches based on the arcsin law, the polarity coincidence correlator, and the median- of-ratio estimator without sacrificing the encoder bandwidth efficiency and the compression gain while remaining compatible with real-time applications. Furthermore, in the presence of impulsive noise, the proposed speech encoder speech perceptual quality also outperforms the state of the art in terms of mean opinion score.
Doctor of Philosophy
Impulsive noise is a natural phenomenon in everyday experience. Impulsive noise can be analogous to discontinuities or a drastic change in natural progressions of events. Specifically in this research the disrupting events can occur in signals such as speech, power transmission, stock market, communication systems, etc. Sudden power outage due to lighting, maintenance or other catastrophic events are some of the reasons why we may experience performance degradation in our electronic devices. Another example of impulsive noise is when we play an old damaged vinyl records, which results in annoying clicking sounds. At the time instance of each click, the true music or speech or simply the audible waveform is completely destroyed. Other examples of impulse noise is a sudden crash in the stock market; a sudden dive in the market can destroy the regression and future predictions. Unfortunately, in the presence of impulsive noise, classical methods methods are unable to filter out the impulse corruptions. The intended filtering objective of this dissertation is specific, but not limited, to speech signal processing. Specifically, research different filter model to determine the optimum method of eliminating impulsive noise in speech. Note, that the optimal filter model is different for time series signal model such as speech, stock market, power systems, etc. In our studies we have shown that our speech filter method outperforms the state of the art algorithms. Another major contribution of our research is in speech compression algorithm that is robust to impulse noise in speech. In digital signal processing, a compression method entails in representing the same signal with less data and yet convey the the same same message as the original signal. For example, human auditory system can produce sounds in the range of approximately 60 Hz and 3500 Hz, another word speech can occupy approximately 4000 Hz in frequency space. So the challenge is, can we compress speech in one of half of that space, or even less. This is a very attractive proposition because frequency space is limited but the wireless service providers desires to service as many users as possible without sacrificing quality and ultimately maximize the bottom line. Encoding impulse corrupted speech produces harsh quality of synthesized audio. We have shown if the encoding is done with the proposed method, synthesized audio quality is far superior to the sate of the art.
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Spangenberg, Ulrich. "Development of a robust output-only strain based damage detection technique for wing-like structures, requiring a minimum number of sensors." Diss., University of Pretoria, 2009. http://hdl.handle.net/2263/30065.

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In recent years more emphasis has been placed on in-situ condition based monitoring of engineering systems and structures. Aerospace components are manufactured from composite materials more often. Structural health monitoring (SHM) systems are required in the aerospace industry to monitor the safety and integrity of the structure and will ensure that composites reach its full potential within the industry. Damage detection techniques form an integral part of such SHM systems. With this work a damage detection technique is developed for intended eventual use on composite structures, but starting first on isotropic structures. The damage mechanism that is of interest is delamination damage in composites. A simple numerical equivalent is implemented here however. Two damage indicators, the strain cumulative damage factor (SCDF) and the strain-frequency damage level (SFDL) are introduced. The respective damage indicators are calculated from output-only strain and acceleration response data. The effectiveness of the system to detect damage in the structure is critically evaluated and compared to other damage detection techniques such as the natural frequency method. The sensitivity to damage and performance of both these indicators is examined numerically by evaluating two deterministic damage cases. The numerical study is enhanced through the use of an updated finite element model. The minimum number of sensors capable of detecting the presence and locate damage spatially is determined from numerical simulations. Monte Carlo type analysis is performed by letting the damaged area vary stochastically and calculating the respective damage indicators. The model updating procedure from measured mobility frequency response functions (FRFs) is described. The application of the technique to real structures is examined experimentally. Two test structures with two different damage scenarios are examined. The spatial location and presence of damage can be established from both the SCDF and SFDL values, respectively. The spatial location obtained from the SCDF values corresponded to the known damage location for both the numerical and experimental study. The SFDL proved to be more sensitive than the natural frequency method and could be used to calculate the level of damage within the structure.
Dissertation (MEng)--University of Pretoria, 2009.
Mechanical and Aeronautical Engineering
unrestricted
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Schaefers, Jos. "Contribution à l'identification des paramètres des robots : application à un robot kuka." Nancy 1, 1992. http://www.theses.fr/1992NAN10361.

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Le problème posé et traité dans ce mémoire est celui de l'identification des paramètres des robots. Cette identification est indispensable pour la commande de robots basée sur le modèle de référence. La majeure difficulté de l'identification de ces paramètres provient de la dimension du système. En effet le nombre de conditionnement de la matrice d'observation non linéaire est à minimiser. Afin de remédier à cette difficulté, ce travail montre qu'il est possible de décomposer le problème et de procéder à une identification décentralisée. Le problème du calcul des trajectoires à excitation convenable peut être mieux résolu par cette décomposition. Ainsi il est montré que la décentralisation permet d'obtenir de meilleures conditions d'excitation. Les méthodes d'optimisation non linéaires sous contraintes sont utilisées pour le calcul des trajectoires. Lorsque ces méthodes sont appliquées au cas décentralisés, les calculs peuvent être notablement accélères. Les résultats de l'estimation décentralisée montrent que la rapidité de convergence des paramètres est nettement augmentée par rapport à l'estimation centralisée. Quant à la sensibilité des paramètres, une étude montre qu'il est possible de l'évaluer en fonction des perturbations sur les trajectoires
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Maghenem, Mohamed Adlene. "Stability and Stabilization of Networked Systems." Thesis, Université Paris-Saclay (ComUE), 2017. http://www.theses.fr/2017SACLS186/document.

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Dans cette thèse, des méthodes dites de Lyapunov sont proposées afin de résoudre des problèmes liés à la coordination distribuée des systèmes multiagent, plus précisément, un groupe de systèmes (agents) non-linéaires formés de robots mobiles non-holonomes est considéré. Pour ce groupe de systèmes, des lois de commande distribuée sont proposées dans le but de résoudre des problèmes de type leader-suiveur en formation et aussi des problèmes de type formation sans-leader par une approche de consensus, sous différentes hypothèses sur le graphe de communication et surtout sur les vitesses du leader.L'originalité de ce travail est dans l'approche proposée pour l'étude de stabilité de la boucle fermée, cette approche consiste à transformer les deux derniers problèmes en des problèmes de stabilisation globale asymptotique d'un ensemble invariant. L’analyse de stabilité est basée sur la construction de fonction de Lyapunov et de fonction de Lyapunov-Karasovskii strictes pour des classes de systèmes non-linéaires variant dans le temps présentant des retards bornés et variant dans le temps
In this thesis, we propose a Lyapunov based approaches to address some distributedsolutions to multi-agent coordination problems, more precisely, we consider a groupof agents modeled as nonholonomic mobile robots, we provide a distributed controllaws in order to solve the leader-follower and the leaderless consensus problems under different assumptions on the communication graph topology and on the leader’strajectories. The originality of this work relies on the closed-loop analysis approach, that is, it consists on transforming the last two problems into a global stabilization problem of an invariant set. The stability analysis is mainly based on the construction of strict Lyapunov functions and strict Lyapunov-Krasovskii functionals for a classes of nonlinear time-varying and/or delayed systems
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Cunningham, Daniel Philip. "The Winch-Bot : a cable-suspended, under-actuated robot utilizing parametric self-excitation." Thesis, Massachusetts Institute of Technology, 2009. http://hdl.handle.net/1721.1/50576.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2009.
Includes bibliographical references (leaf 71).
A simple, compact, yet powerful robotic winch, called "Winch-Bot," is presented in this thesis. The Winch-Bot is an underactuated robot having only one controllable axis. Although hanging a load with merely one cable, it is capable of moving it in a large workspace by swinging the load dynamically based on parametric self-excitation. The generated trajectories can be used for a variety of tasks, from moving material to cyclic inspection of surfaces. The basic principle and design concept of the Winch-Bot are first described, followed by dynamic modeling and analysis. Two trajectory generation problems are solved. One is point-to-point transfer of a load, and the other is the tracking of a continuous path. It will be shown that the system can track a given geometric trajectory, although the tracking velocity cannot be determined arbitrarily due to the underactuated nature of dynamics. A prototype Winch-Bot is designed and built, and point-to-point, continuous path, and parametric excitation control are implemented.
by Daniel Philip Cunningham.
S.M.
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Stegmann, Robert [Verfasser], Norbert [Akademischer Betreuer] Pietralla, and Thomas [Akademischer Betreuer] Aumann. "One-Quadrupole-Phonon States of Heavy Vibrational Nuclei Studied in Coulomb Excitation / Robert Stegmann ; Norbert Pietralla, Thomas Aumann." Darmstadt : Universitäts- und Landesbibliothek Darmstadt, 2017. http://d-nb.info/1144484278/34.

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Olsson, Rasmus. "Identifiering av stelkroppsmodell för industrirobot." Thesis, Linköping University, Department of Electrical Engineering, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-5535.

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In this masters thesis we consider a method for experimental identification of the inertial parameters of an industrial robot, using measured torques and joint angles. A dynamic model of the first three joints of the robot has been identified.

To achieve good identification results, it is important to carefully choose the trajectory for the experimental identification. A method to generate trajectories using two suggested design criteria has been used and evaluated using an ABB industrial robot, and one of them yields good identification results.


Denna rapport behandlar en metod för experimentell identifiering av en stelkroppsmodell för en industrirobot. Metoden använder sig av uppmätta moment och armvinklar för att identifiera parametrarna i en dynamikmodell för robotens tre huvudaxlar.

För att erhålla bra identifieringsresultat är det viktigt att välja en lämplig identifieringsbana och i detta arbete har en metod för generering av banor använts och utvärderats för två olika designkriterier. Experiment har utförts på en industrirobot från ABB och vi har erhållit goda identifieringsresultat med ett av designkriterierna.

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Books on the topic "Robust excitation"

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Center, Langley Research, ed. Robust adaptive regulation without persistent excitation. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1988.

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Armstrong, Brian Stewart Randall. Dynamics for robot control: Friction modeling and ensuring excitation during parameter identification. Stanford, CA: Dept. of Computer Science, Stanford University, 1988.

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Chiang, Liu, and United States. National Aeronautics and Space Administration., eds. Robust control of flexible space vehicles with minimum structural excitation: Final report of the first-year project : on-off pulse control of flexible space vehicles. 1992.

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Book chapters on the topic "Robust excitation"

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Spelsberg-Korspeter, Gottfried. "Nonlinear Analysis of Systems Under Periodic Parametric Excitation." In Robust Structural Design against Self-Excited Vibrations, 81–93. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-36552-2_7.

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Spelsberg-Korspeter, Gottfried. "Perturbation of a Linear Conservative System by Periodic Parametric Excitation." In Robust Structural Design against Self-Excited Vibrations, 5–17. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-36552-2_2.

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Jelinek, Milan, Geneviève Baudoin, Gérard Chollet, and Michel Mauc. "Excitation Construction for the Robust Low Bit Rate CELP Speech Coder." In Speech Recognition and Coding, 439–42. Berlin, Heidelberg: Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/978-3-642-57745-1_62.

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Rao, K. Sreenivasa, and Dipanjan Nandi. "Complementary and Robust Nature of Excitation Source Features for Language Identification." In SpringerBriefs in Electrical and Computer Engineering, 77–96. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-17725-0_5.

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Rao, K. Sreenivasa, and Shashidhar G. Koolagudi. "Robust Emotion Recognition using Combination of Excitation Source, Spectral and Prosodic Features." In SpringerBriefs in Electrical and Computer Engineering, 71–84. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-6360-3_4.

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Guan, Ji, Wang Fang, and Mingsheng Ying. "Robustness Verification of Quantum Classifiers." In Computer Aided Verification, 151–74. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-81685-8_7.

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AbstractSeveral important models of machine learning algorithms have been successfully generalized to the quantum world, with potential speedup to training classical classifiers and applications to data analytics in quantum physics that can be implemented on the near future quantum computers. However, quantum noise is a major obstacle to the practical implementation of quantum machine learning. In this work, we define a formal framework for the robustness verification and analysis of quantum machine learning algorithms against noises. A robust bound is derived and an algorithm is developed to check whether or not a quantum machine learning algorithm is robust with respect to quantum training data. In particular, this algorithm can find adversarial examples during checking. Our approach is implemented on Google’s TensorFlow Quantum and can verify the robustness of quantum machine learning algorithms with respect to a small disturbance of noises, derived from the surrounding environment. The effectiveness of our robust bound and algorithm is confirmed by the experimental results, including quantum bits classification as the “Hello World” example, quantum phase recognition and cluster excitation detection from real world intractable physical problems, and the classification of MNIST from the classical world.
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Saramantas, Ioannis E., John S. Sakellariou, and Spilios D. Fassois. "On Random Vibration Based Robust Damage Detection for a Population of Composite Aerostructures Under Variable and Non-measurable Excitation." In Lecture Notes in Civil Engineering, 277–86. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-07258-1_29.

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Diestmann, Thomas, Nils Broedling, Benedict Götz, and Tobias Melz. "Surrogate Model-Based Uncertainty Quantification for a Helical Gear Pair." In Lecture Notes in Mechanical Engineering, 191–207. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-77256-7_16.

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AbstractCompetitive industrial transmission systems must perform most efficiently with reference to complex requirements and conflicting key performance indicators. This design challenge translates into a high-dimensional multi-objective optimization problem that requires complex algorithms and evaluation of computationally expensive simulations to predict physical system behavior and design robustness. Crucial for the design decision-making process is the characterization, ranking, and quantification of relevant sources of uncertainties. However, due to the strict time limits of product development loops, the overall computational burden of uncertainty quantification (UQ) may even drive state-of-the-art parallel computing resources to their limits. Efficient machine learning (ML) tools and techniques emphasizing high-fidelity simulation data-driven training will play a fundamental role in enabling UQ in the early-stage development phase.This investigation surveys UQ methods with a focus on noise, vibration, and harshness (NVH) characteristics of transmission systems. Quasi-static 3D contact dynamic simulations are performed to evaluate the static transmission error (TE) of meshing gear pairs under different loading and boundary conditions. TE indicates NVH excitation and is typically used as an objective function in the early-stage design process. The limited system size allows large-scale design of experiments (DoE) and enables numerical studies of various UQ sampling and modeling techniques where the design parameters are treated as random variables associated with tolerances from manufacturing and assembly processes. The model accuracy of generalized polynomial chaos expansion (gPC) and Gaussian process regression (GPR) is evaluated and compared. The results of the methods are discussed to conclude efficient and scalable solution procedures for robust design optimization.
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Majewski, T., and D. Szwedowicz. "Behavior of the Robot with Vibratory Excitation." In Multibody Mechatronic Systems, 67–74. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-09858-6_7.

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Guo, William, and Wei Li. "Simulating Vibrations of Two-Wheeled Self-balanced Robots with Road Excitations by MATLAB." In Robot Design, 51–68. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-11128-0_3.

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Conference papers on the topic "Robust excitation"

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Ahmed, S. S. "A robust power system stabiliser for an overseas application." In IEE Colloquium on Generator Excitation Systems and Stability. IEE, 1996. http://dx.doi.org/10.1049/ic:19960113.

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Lozano-Leal, Rogelio. "Robust Adaptive Regulation without Persistent Excitation." In 1989 American Control Conference. IEEE, 1989. http://dx.doi.org/10.23919/acc.1989.4790573.

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Zhou Lan, Deqiang Gan, and Yixin Ni. "Robust adaptive control design for generator excitation." In 2006 IEEE Power Engineering Society General Meeting. IEEE, 2006. http://dx.doi.org/10.1109/pes.2006.1709302.

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Efimov, D., N. Barabanov, and R. Ortega. "Robust Stability Under Relaxed Persistent Excitation Conditions." In 2018 IEEE Conference on Decision and Control (CDC). IEEE, 2018. http://dx.doi.org/10.1109/cdc.2018.8619330.

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Walschaers, M., R. Mulet, T. Wellens, and A. Buchleitner. "Robust design principles for quantum enhanced excitation transport." In 2013 Conference on Lasers & Electro-Optics Europe & International Quantum Electronics Conference CLEO EUROPE/IQEC. IEEE, 2013. http://dx.doi.org/10.1109/cleoe-iqec.2013.6801976.

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Xiao Jian-mei, Zheng Tian-fu, and Wang Xi-huai. "Nonlinear robust coordinated control of generator excitation system." In 2008 Chinese Control and Decision Conference (CCDC). IEEE, 2008. http://dx.doi.org/10.1109/ccdc.2008.4597881.

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Li, C. D., T. S. Chung, and D. Z. Fang. "Robust excitation control design using GA-LMI method." In 7th IET International Conference on Advances in Power System Control, Operation and Management (APSCOM 2006). IEE, 2006. http://dx.doi.org/10.1049/cp:20062151.

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"Robust decentralized excitation control of multimachine power systems." In Proceedings of the 1999 American Control Conference. IEEE, 1999. http://dx.doi.org/10.1109/acc.1999.786234.

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Drugman, Thomas, Yannis Stylianou, Langzhou Chen, Xie Chen, and Mark J. F. Gales. "Robust excitation-based features for Automatic Speech Recognition." In ICASSP 2015 - 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2015. http://dx.doi.org/10.1109/icassp.2015.7178855.

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Yan, Qi, and Ying Xia. "Improved Many Machine Excitation Nonlinear Robust Controller Design." In 2016 International Conference on Economics, Social Science, Arts, Education and Management Engineering. Paris, France: Atlantis Press, 2016. http://dx.doi.org/10.2991/essaeme-16.2016.153.

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Reports on the topic "Robust excitation"

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Seginer, Ido, Louis D. Albright, and Robert W. Langhans. On-line Fault Detection and Diagnosis for Greenhouse Environmental Control. United States Department of Agriculture, February 2001. http://dx.doi.org/10.32747/2001.7575271.bard.

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Background Early detection and identification of faulty greenhouse operation is essential, if losses are to be minimized by taking immediate corrective actions. Automatic detection and identification would also free the greenhouse manager to tend to his other business. Original objectives The general objective was to develop a method, or methods, for the detection, identification and accommodation of faults in the greenhouse. More specific objectives were as follows: 1. Develop accurate systems models, which will enable the detection of small deviations from normal behavior (of sensors, control, structure and crop). 2. Using these models, develop algorithms for an early detection of deviations from the normal. 3. Develop identifying procedures for the most important faults. 4. Develop accommodation procedures while awaiting a repair. The Technion team focused on the shoot environment and the Cornell University team focused on the root environment. Achievements Models: Accurate models were developed for both shoot and root environment in the greenhouse, utilizing neural networks, sometimes combined with robust physical models (hybrid models). Suitable adaptation methods were also successfully developed. The accuracy was sufficient to allow detection of frequently occurring sensor and equipment faults from common measurements. A large data base, covering a wide range of weather conditions, is required for best results. This data base can be created from in-situ routine measurements. Detection and isolation: A robust detection and isolation (formerly referred to as 'identification') method has been developed, which is capable of separating the effect of faults from model inaccuracies and disturbance effects. Sensor and equipment faults: Good detection capabilities have been demonstrated for sensor and equipment failures in both the shoot and root environment. Water stress detection: An excitation method of the shoot environment has been developed, which successfully detected water stress, as soon as the transpiration rate dropped from its normal level. Due to unavailability of suitable monitoring equipment for the root environment, crop faults could not be detected from measurements in the root zone. Dust: The effect of screen clogging by dust has been quantified. Implications Sensor and equipment fault detection and isolation is at a stage where it could be introduced into well equipped and maintained commercial greenhouses on a trial basis. Detection of crop problems requires further work. Dr. Peleg was primarily responsible for developing and implementing the innovative data analysis tools. The cooperation was particularly enhanced by Dr. Peleg's three summer sabbaticals at the ARS, Northem Plains Agricultural Research Laboratory, in Sidney, Montana. Switching from multi-band to hyperspectral remote sensing technology during the last 2 years of the project was advantageous by expanding the scope of detected plant growth attributes e.g. Yield, Leaf Nitrate, Biomass and Sugar Content of sugar beets. However, it disrupted the continuity of the project which was originally planned on a 2 year crop rotation cycle of sugar beets and multiple crops (com and wheat), as commonly planted in eastern Montana. Consequently, at the end of the second year we submitted a continuation BARD proposal which was turned down for funding. This severely hampered our ability to validate our findings as originally planned in a 4-year crop rotation cycle. Thankfully, BARD consented to our request for a one year extension of the project without additional funding. This enabled us to develop most of the methodology for implementing and running the hyperspectral remote sensing system and develop the new analytical tools for solving the non-repeatability problem and analyzing the huge hyperspectral image cube datasets. However, without validation of these tools over a ful14-year crop rotation cycle this project shall remain essentially unfinished. Should the findings of this report prompt the BARD management to encourage us to resubmit our continuation research proposal, we shall be happy to do so.
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Rahmani, Mehran, Xintong Ji, and Sovann Reach Kiet. Damage Detection and Damage Localization in Bridges with Low-Density Instrumentations Using the Wave-Method: Application to a Shake-Table Tested Bridge. Mineta Transportation Institute, September 2022. http://dx.doi.org/10.31979/mti.2022.2033.

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This study presents a major development to the wave method, a methodology used for structural identification and monitoring. The research team tested the method for use in structural damage detection and damage localization in bridges, the latter being a challenging task. The main goal was to assess capability of the improved method by applying it to a shake-table-tested prototype bridge with sparse instrumentation. The bridge was a 4-span reinforced concrete structure comprising two columns at each bent (6 columns total) and a flat slab. It was tested to failure using seven biaxial excitations at its base. Availability of a robust and verified method, which can work with sparse recording stations, can be valuable for detecting damage in bridges soon after an earthquake. The proposed method in this study includes estimating the shear (cS) and the longitudinal (cL) wave velocities by fitting an equivalent uniform Timoshenko beam model in impulse response functions of the recorded acceleration response. The identification algorithm is enhanced by adding the model’s damping ratio to the unknown parameters, as well as performing the identification for a range of initial values to avoid early convergence to a local minimum. Finally, the research team detect damage in the bridge columns by monitoring trends in the identified shear wave velocities from one damaging event to another. A comprehensive comparison between the reductions in shear wave velocities and the actual observed damages in the bridge columns is presented. The results revealed that the reduction of cS is generally consistent with the observed distribution and severity of damage during each biaxial motion. At bents 1 and 3, cS is consistently reduced with the progression of damage. The trends correctly detected the onset of damage at bent 1 during biaxial 3, and damage in bent 3 during biaxial 4. The most significant reduction was caused by the last two biaxial motions in bents 1 and 3, also consistent with the surveyed damage. In bent 2 (middle bent), the reduction trend in cS was relatively minor, correctly showing minor damage at this bent. Based on these findings, the team concluded that the enhanced wave method presented in this study was capable of detecting damage in the bridge and identifying the location of the most severe damage. The proposed methodology is a fast and inexpensive tool for real-time or near real-time damage detection and localization in similar bridges, especially those with sparsely deployed accelerometers.
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