Relevant bibliographies by topics / Contrôle feed-forward

Contents

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

Academic literature on the topic 'Contrôle feed-forward'

Author: Grafiati
Published: 24 May 2025
Last updated: 29 May 2025

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Journal articles on the topic "Contrôle feed-forward"

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Seifried, Robert, Held Alexander, and Dietmann Fabian. "58301 ANALYSIS OF FEED-FORWARD CONTROL DESIGNS FOR FLEXIBLE MULTIBODY SYSTEMS(Flexible Multibody Dynamics)." Proceedings of the Asian Conference on Multibody Dynamics 2010.5 (2010): _58301–1_—_58301–9_. http://dx.doi.org/10.1299/jsmeacmd.2010.5._58301-1_.

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Tutsch, R., and C. Hernández. "Feed-Forward-Regelung von Prozessketten*." wt Werkstattstechnik online 103, no. 11-12 (2013): 911–14. http://dx.doi.org/10.37544/1436-4980-2013-11-12-911.

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Sengupta, Poulami, Kalpana P, and Prakash P. "Fly Back Converter with Feed - Forward Control and TPS3700 based Protection Scheme for Fast Transient Space Applications." International Journal of Science and Research (IJSR) 10, no. 8 (August 27, 2021): 342–45. https://doi.org/10.21275/sr21807161535.

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Yabui, Shota, and Takenori Atsumi. "MoD-1-3 IMPROVEMENT OF CONVERGENCE FOR ADAPTIVE FEED-FORWARD CONTROL BY INITIAL VALUE SETTING IN HARD DISK DRIVES." Proceedings of JSME-IIP/ASME-ISPS Joint Conference on Micromechatronics for Information and Precision Equipment : IIP/ISPS joint MIPE 2015 (2015): _MoD—1–3–1—_MoD—1–3–3. http://dx.doi.org/10.1299/jsmemipe.2015._mod-1-3-1.

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Char, M. B. S. "Questions concerned with feed‐back and feed‐forward cycles." Kybernetes 27, no. 1 (February 1998): 87–89. http://dx.doi.org/10.1108/03684929810795199.

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Norrlöf, Mikael, and Svante Gunnarsson. "An ILC approach to feed-forward friction compensation." IFAC-PapersOnLine 53, no. 2 (2020): 1409–14. http://dx.doi.org/10.1016/j.ifacol.2020.12.1902.

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Johansson, Viktor, Stig Moberg, Erik Hedberg, Mikael Norrlöf, and Svante Gunnarsson. "A Learning Approach for Feed-Forward Friction Compensation." IFAC-PapersOnLine 51, no. 22 (2018): 412–17. http://dx.doi.org/10.1016/j.ifacol.2018.11.578.

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Heyden, Martin, Richard Pates, and Anders Rantzer. "A Structured Optimal Controller With Feed-Forward for Transportation." IEEE Control Systems Letters 6 (2022): 1130–35. http://dx.doi.org/10.1109/lcsys.2021.3088666.

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Silva, Sergio, Leonardo Sampaio, Fernando Oliveira, and Fábio Durand. "Pso-based Mppt Technique Applied To A Grid-tied Pv System With Active Power Line Conditioning Using A Feed-forward Dc-bus Control Loop." Eletrônica de Potência 21, no. 2 (May 1, 2016): 105–16. http://dx.doi.org/10.18618/rep.2016.2.2615.

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Rowold, Matthias, Alexander Wischnewski, and Boris Lohmann. "Constrained Bayesian Optimization of a Linear Feed-Forward Controller." IFAC-PapersOnLine 52, no. 29 (2019): 1–6. http://dx.doi.org/10.1016/j.ifacol.2019.12.612.

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Dissertations / Theses on the topic "Contrôle feed-forward"

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Uwadukunze, Alain. "Optimisation de la performance des systèmes à partir de modèles identifiés : Application au design de projectiles et à la commande feedforward des systèmes Wiener." Electronic Thesis or Diss., Université de Lorraine, 2025. http://www.theses.fr/2025LORR0012.

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Dans de nombreuses applications techniques, l'objectif est d'optimiser les performances d'un système. Pour ce faire, il est nécessaire d'évaluer la sortie du système afin d'analyser la performance obtenue. Cependant, dans plusieurs scénarios concrets, les systèmes sont souvent coûteux à évaluer, rendant la tâche d'optimisation complexe. Pour remédier à ce problème, des modèles basés sur les données sont souvent identifiés afin d'estimer les fonctions objectives coûteuses, associées aux systèmes, puis sont utilisés pour estimer l'optimum. Si de mauvaises performances sont obtenues avec ces modèles, ces derniers doivent être améliorés en les ré-identifiant avec des nouvelles données. En revanche, comme l'évaluation des systèmes est coûteuse, ces données doivent être sélectionnées avec soin. L'objectif de cette thèse est de développer des approches qui peuvent être utilisées pour améliorer les modèles identifiés employés dans l'optimisation de la performance des systèmes. Ces approches sont utilisées dans deux applications différentes. La première concerne la conception aérodynamique, où le but est de déterminer les dimensions optimales d'un projectile sur la base de critères associés aux coefficients aérodynamiques. Ces coefficients sont coûteux à obtenir, ainsi, les configurations géométriques du projectile à évaluer, afin de trouver l'optimum, exigent une sélection attentive. Pour ce faire, des approches telles que l'optimisation bayésienne sont généralement utilisées, où un modèle de processus gaussien est utilisé pour représenter la relation statique entre la configuration du projectile et la fonction objective. Dans cette thèse, une procédure similaire à l'optimisation bayésienne, mais où des réseaux de neurones sont utilisés comme modèles à la place des processus gaussiens, est développée, afin de mieux gérer les ensembles de données plus volumineux. Ces deux approches sont utilisées pour résoudre le problème de conception aérodynamique, et il est démontré qu'elles permettent de réduire les coûts associés à l'optimisation. La seconde application concerne le domaine de contrôle et, plus particulièrement, l'identification pour le contrôle. L'accent est mis sur la conception de contrôleurs feed-forward pour des systèmes non linéaires pouvant être représentés par des structures de type Wiener. Plus précisément, il est montré comment un modèle de ces systèmes peut être utilisé pour concevoir le contrôleur. Une procédure d'amélioration itérative du modèle et de re-conception du contrôleur est également introduite dans le cas où le contrôleur initialement conçu ne permet pas d'obtenir des performances optimales. Globalement, les approches développées offrent des solutions efficaces pour minimiser les coûts d'évaluation des systèmes lors des tâches d'optimisation dans diverses applications d'ingénierie
In many engineering applications, the objective is to find the optimum performance of a system. To evaluate the performances, it is necessary to measure the output of the system for given inputs. However, in several real-life scenarios, systems are often expensive to evaluate making it difficult to perform the optimization tasks. To address this issue, data-driven models are often identified to estimate the expensive objective functions, associated with the systems, and are employed to approximate their optimum. If poor performances are obtained using these models, they must be improved by re-identifying them with new data. However, since the systems are expensive to evaluate, the data must be chosen carefully. The aim of this thesis is to develop approaches which can be used to improve identified models employed in system performance optimization. These approaches are applied in two different applications. The first one is the aerodynamic design where the goal is to find the optimum dimensions of a projectile based on criteria associated with aerodynamic coefficients. These coefficients are costly to acquire, hence the projectile geometry configurations to evaluate, to find the optimum, must be selected with care. This is usually achieved using approaches such as Bayesian Optimization where a Gaussian Process model is employed to model the static relationship between the projectile configuration and the objective function. In this thesis, a procedure similar to Bayesian Optimization but where Neural Networks are employed as data-driven models instead of Gaussian Processes is developed, to enable scalability for larger datasets. Both approaches are used to solve the aerodynamic design problem, and it is shown that they allow to reduce the costs associated to aerodynamic optimization. The second application concerns control engineering and more particularly the framework of identification for control. The focus is on feed-forward controller design for non-linear systems which can be represented by Wiener structures. More particularly, it is shown how a model of such systems can be used to design the controller. A procedure to iteratively improve the model and re-design the controller is also introduced in the case where the initially designed one does not allow to obtain optimal performances. Overall, the developed approaches provide effective solutions to minimizing system evaluation costs during optimization tasks in diverse engineering fields
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Chandorkar, Chaitrali Santosh. "Data Driven Feed Forward Adaptive Testing." PDXScholar, 2013. https://pdxscholar.library.pdx.edu/open_access_etds/1049.

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Test cost is a critical component in the overall cost of the product. Test cost varies in direct proportion with test time. This thesis introduces a data driven feed forward adaptive technique for reducing test time at wafer sort while maintaining the product defect level. Test data from first insertion of wafer is statistically analyzed to make a decision about adaptive test flow at subsequent insertions. The data driven feed forward technique uses a statistical screen to analyze test data from first probe of wafer and provides recommendations for test elimination at second insertions. At the second insertion dies are subjected to only the optimum number of tests for a reduced test flow. This technique is applicable only for the products which are tested at two or more insertions. The statistical screen identifies the dies for reduced test flow based upon correlation of tests across insertions. The tests which are repeated at both the insertions and are highly correlated are the candidates of elimination at second insertion. The feed forward technique is applied to a mixed signal analog product and figures of merit are evaluated. Application of technique to the production data shows that there is an average 55% test time reduction when a single site is tested per touchdown and up to 10% when 16 sites are tested in parallel per touchdown.
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Tanaka, Toshiyuki. "Control of growth dynamics of feed-forward neural network." Diss., Georgia Institute of Technology, 1996. http://hdl.handle.net/1853/13445.

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PISCITELLI, DANIELE. "MUSCLE COORDINATION IN THE FEED-FORWARD CONTROL OF POSTURE." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2017. http://hdl.handle.net/10281/158163.

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INTRODUZIONE All’interno dell’ipotesi del uncontrolled manifold (UCM) sono stati esplorati due tipologie di aggiustamenti posturali anticipatori: aggiustamenti sinergici anticipatori (ASAs) ed aggiustamenti posturali anticipatori (APAs). Gli ASAs riflettono una diminuzione progressiva dell’indice di sinergia multimuscle-mode che stabilizza una variabile (e.g. coordinate antero-posteriori del centro di pressione, COPAP) in preparazione ad un rapido cambiamento in quella performance. Gli APAs, invece, sono interpretati come il risultato di segnali neurali atti a generare momenti di forza per ridurre gli effetti di eventuali perturbazioni prevedibili sulla postura. Se l’istante della perturbazione è conosciuto, gli ASAs sono funzionali per generare correzioni posturali indipendentemente dalla direzione della perturbazione. Al contrario, gli APAs sono utili solo se la direzione della perturbazione è conosciuta in anticipo. Obiettivo dello studio è stato esaminare gli ASAs e APAs in preparazione ad una perturbazione posturale auto-generata in due differenti condizioni: direzione della perturbazione conosciuta e non-conosciuta. Si è ipotizzato che gli APAs, al contrario degli ASAs, risultassero maggiormente sensibili alla preconoscenza della direzione della perturbazione. METODI Undici partecipanti sani in ortostatismo su piattaforma di forza hanno effettuato due task: (1) oscillazioni volontarie in direzione antero-posteriore a 0.5 HZ; (2) rilascio auto-generato di un carico in due condizioni: direzione della perturbazione (anteriore/posteriore rispetto al soggetto) conosciuta o non-conosciuta (randomizzata dal ricercatore). Sono stati acquisiti e analizzati i segnali elettromiografici di superficie (EMGs) di 13 muscoli (arto inferiore e tronco) e lo spostamento del COPAP. Il primo task è stato utilizzato per identificare quattro M-modes muscolari (gruppi di muscoli caratterizzati da pattern di attivazione parallela). Successivamente, la varianza inter-trail nel M-mode space è stata quantificata sia entro lo spazio del UCM sia perpendicolarmente (ORT) a questo per il COPAP. È stato calcolato l’indice di sinergia (∆V) che riflette la quantità di varianza inter-trial entro l’UCM. Inoltre, sono state quantificati indici di co-attivazione e attivazione reciproca (attività agonista-antagonista) di coppie di gruppi muscolari. RISULTATI ∆V ha mostrato una diminuzione di circa 200ms prima dell’inizio della perturbazione. Gli ASAs sono stati simili tra le due condizioni, con e senza la conoscenza della direzione della perturbazione (ANOVA non significativo per direzione). Al contrario, i tempi e la struttura degli APAs hanno presentato differenze rispetto alla conoscenza della direzione della perturbazione. Gli APAs sono comparsi in ritardo quando la direzione della perturbazione era sconosciuta (p < 0.05). Inoltre, l’analisi degli indici di co-attivazione ed attivazione reciproca hanno mostrato una maggiore presenza di pattern reciproci quando i soggetti conoscevano la direzione della perturbazione, mentre i pattern di co-attivazione erano più frequenti durante i trials senza conoscenza della direzione. DISCUSSIONE I risultati dimostrano l'esistenza di due distinti meccanismi di controllo feed-forward posturale fornendo supporto per un modello di controllo motorio basato su due gruppi di variabili, quelle che definiscono le grandezze desiderate delle variabili di performance di movimenti programmati (APAs) e quelle che definiscono la stabilità delle variabili di performance (ASAs). Questi risultati hanno potenziali implicazioni per chiarire la compromissione del controllo posturale nei disordini neurologici e potrebbero essere integrati in strategie riabilitative.
The framework of the uncontrolled manifold (UCM) hypothesis has been used to study a type of feed-forward postural adjustments anticipatory synergy adjustments (ASAs) compared to anticipatory postural adjustments (APAs). ASAs reflect attenuation of a synergy index stabilizing a variable (e.g., center of pressure anterior-posterior coordinate, COPAP) in preparation to a quick change in that variable, while APAs are the means of generating net forces and moments of force that minimize the effects of a predictable perturbation on posture. ASAs and APAs were explored in preparation to a self-triggered postural perturbation in conditions when the direction of the perturbation was known and unknown. Eleven healthy subjects stood on a force platform and performed two tasks: (1) voluntary cyclic body sway in the anterior-posterior (AP) direction at 0.5 Hz; and (2) self-paced load release task in two conditions where the perturbation direction was either known or unknown (randomized by the experimenter). Surface electromyograms of 13 leg and trunk muscles as well as COPAP displacements were recorded and analyzed. The first task was used to identify four muscle modes (M-modes, muscle groups with parallel scaling of activation levels). Further, inter-trial variance in the M-mode space was quantified within the UCM and orthogonal (ORT) space. An index of synergy (∆V) was computed reflecting the relative amount of inter-trial M-mode variance within the UCM for COP AP. The index of multi-M-mode synergies showed a drop starting about 200 ms prior to the time of perturbation. These ASAs were similar across conditions. In contrast, the timing and structure of APAs differed depended on knowledge of the perturbation direction. Namely, APAs were delayed when the perturbation direction was unknown. In addition, analysis of co-activation and reciprocal activation within agonist–antagonist muscle pairs showed predominance of reciprocal patterns in conditions when the subjects knew the perturbation direction and co- activation patterns when the perturbation direction was unknown. The results demonstrate the existence of two separate mechanisms of feed-forward control of vertical posture. These findings potentially have implication for elucidating impaired postural control in neurological and musculoskeletal disorders and being incorporated in rehabilitation strategies.
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Dudiki, Venkatesh. "Feed-Forward Compensation of Non-Minimum Phase Systems." Wright State University / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=wright1545163596477852.

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Carey, Abby (Abby M. ). "Valve characterization to implement feed-forward control of hydraulically actuated joints." Thesis, Massachusetts Institute of Technology, 2008. http://hdl.handle.net/1721.1/45763.

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Thesis (S.B.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2008.
Includes bibliographical references (leaf 39).
This thesis characterizes the flow behavior of a Hydraforce SP08-47CL valve given a specific pulse-width modulation (pwm) duty cycle. With a description of valve behavior, a feed-forward term can be implemented in the positional control loop of a hydraulically actuated robotic prototype. In order to isolate valve behavior, a test bed apparatus consisting of three separate hydraulic cylinders was constructed to decouple joint movement, and multiple tests were conducted, recording cylinder velocities given a constant pwm signal at a system pressure of 3.45MPa. After theoretically justifying the empirical results, a quadratic and bi-linear curve fit to the data provided a practical solution to an otherwise computationally expensive problem.
by Abby Carey.
S.B.
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Bender, John Andrew Laurent Gilles Dickinson Michael. "Elements of feed-forward and feedback control in Drosophila body saccades /." Diss., Pasadena, Calif. : California Institute of Technology, 2007. http://resolver.caltech.edu/CaltechETD:etd-03042007-163003.

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Burkhardt, Markus [Verfasser]. "Model-Based Feed-Forward Control for Mechatronic Systems with Structural Elasticity / Markus Burkhardt." Düren : Shaker, 2019. http://d-nb.info/1196487413/34.

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Crowley, Kevin Michael. "An Open Loop Feed-Forward Control Scheme for Bioinspired Artificial Hair Cell Sensors." Thesis, Virginia Tech, 2015. http://hdl.handle.net/10919/51611.

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This research documents the creation and use of an open-loop feed forward control scheme designed to manipulate the DC potential across lipid bilayer membranes in artificial hair cell sensors. Inspired by the human cochlea's non-linear gain phenomenon, whereby the cochlea can increase or decrease the effective gain of the auditory system, this controller is the first step in developing more sophisticated signal processing schemes for use with future bio-inspired artificial hair cell development. This open-loop controller allows for three preset gain mappings to tailor the DC offset in response to an external stimulus. Linear, nonlinear and sigmoidal mappings were created to observe the differences in system response during constant frequency and variable frequency excitation. In constant frequency testing, artificial hair cell sensors were excited at 100 Hz across a range of input intensities to observer current output response during increasing or decreasing excitation levels. Results showed average coherence values above 0.98 for the relationship between current output and fluid velocity, indicating a strong correlation between excitation and measured output. In the bilayer with stereocilia test case, RMS power increased with higher excitation levels but the various control laws did not appear to have any discernible impact on output power. In variable frequency testing, sensors were excited from 0-300 Hz to observe the real time effects of our control law on amplification or attenuation of output current with varying input intensity. Results of the variable frequency excitation could not definitively prove that the varied DC potential had an effect on current output due to excessive capacitive noise, but the controller did provide some encouraging results from its behavior during testing. We observed three distinct DC potential response curves for each mapping, indicating, that with some refinement, we should be able to manipulate output current with user defined gain tunings.
Master of Science
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Collins, Lisa May. "Feed forward control of a micro-CHP unit and its contribution to low energy housing in the UK." Thesis, University of Manchester, 2013. https://www.research.manchester.ac.uk/portal/en/theses/feed-forward-control-of-a-microchp-unit-and-its-contribution-to-low-energy-housing-in-the-uk(d9d72b8b-1f51-4c90-af2f-051e72fc3539).html.

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This investigation has analysed the impact on energy consumption for heating and cooling in UK housing stock, from the predicted future global warming effect, up to the 2080s. It was found that, up to the 2050s, it is likely that heating rather than cooling will remain the main source of energy use, in a pessimistic business-as-usual scenario. Micro-CHP (domestic scale combined heat and power plant) offers a medium term low carbon solution for the replacement of heating equipment. The operation of a micro-CHP unit in a time-of-use electricity tariff scenario for existing UK housing stock was simulated. The investigation analysed whether electrical export earnings could be increased by the use of feed forward control in comparison to a conventional control strategy of timed operation with optimised start, without serious compromise to fuel consumption. It has been found that the use of an auto-regressive model with exogenous input (ARX) model can adequately describe thermal characteristics of a typical house for a model based predictive controller. It was demonstrated that export earnings could be increased significantly without additional fuel consumption by accepting dynamic heating operation within a comfort range, rather than a static setpoint value. Compared to a conventional control strategy, overall CO2 emissions and peak network electricity demand were reduced. This approach increased electrical export earnings without additional fuel consumption during theoretical testing and has potential for further development. These finding confirm a positive case for utilising time-of-use electricity tariffs and could contribute significantly towards increasing the productivity of micro-CHP.
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Books on the topic "Contrôle feed-forward"

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S, Weigend Andreas, and Ames Research Center, eds. Two papers on feed-forward networks. [Moffett Field, Calif.]: NASA Ames Research Center, 1991.

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S, Weigend Andreas, and Ames Research Center, eds. Two papers on feed-forward networks. [Moffett Field, Calif.]: NASA Ames Research Center, 1991.

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1934-, Meyer George, Nordstrom Maurice, and Ames Research Center, eds. Aircraft automatic-flight-control system with inversion of the model in the feed-forward path using a Newton-Raphson technique for the inversion. Moffett field, Calif: National Aeronautics and Space Administration, Ames Research Center, 1987.

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George, Meyer, Nordstrom Maurice, and Ames Research Center, eds. Aircraft automatic-flight-control system with inversion of the model in the feed-forward path using a Newton-Raphson technique for the inversion. Moffett field, Calif: National Aeronautics and Space Administration, Ames Research Center, 1987.

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Two papers on feed-forward networks. [Moffett Field, Calif.]: NASA Ames Research Center, 1991.

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Two papers on feed-forward networks. [Moffett Field, Calif.]: NASA Ames Research Center, 1991.

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Kletschkowski, Thomas. Adaptive Feed-Forward Control of Low Frequency Interior Noise. Springer London, Limited, 2011.

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Kletschkowski, Thomas. Adaptive Feed-Forward Control of Low Frequency Interior Noise. Springer, 2011.

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Kletschkowski, Thomas. Adaptive Feed-Forward Control of Low Frequency Interior Noise. Springer, 2016.

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Aircraft automatic-flight-control system with inversion of the model in the feed-forward path using a Newton-Raphson technique for the inversion. Moffett field, Calif: National Aeronautics and Space Administration, Ames Research Center, 1987.

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Book chapters on the topic "Contrôle feed-forward"

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Munoz-Hernandez, German Ardul, Sa’ad Petrous Mansoor, and Dewi Ieuan Jones. "Feed-Forward Characteristic." In Advances in Industrial Control, 181–96. London: Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-2291-3_10.

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Haniš, T., M. Hromčík, A. Schirrer, M. Kozek, and C. Westermayer. "Feed-Forward Control Designs." In Modeling and Control for a Blended Wing Body Aircraft, 227–63. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-10792-9_7.

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Wang, Fei, Zhenping Weng, and Lin He. "Adaptive Feed-Forward Control System." In Springer Tracts in Mechanical Engineering, 61–95. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-3056-8_4.

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Acemoglu, Alperen. "Modeling, Identification and Feed-Forward Control." In A Magnetic Laser Scanner for Endoscopic Microsurgery, 37–44. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-23193-4_4.

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König, Lars, Frieder Schindele, and Jyotishman Ghosh. "ITC – model-based feed forward traction control." In Proceedings, 265–83. Wiesbaden: Springer Fachmedien Wiesbaden, 2018. http://dx.doi.org/10.1007/978-3-658-22050-1_21.

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Bulsari, Abhay, Björn Saxén, and Henrik Saxén. "Feed-forward neural networks for bioreactor control." In New Trends in Neural Computation, 682–87. Berlin, Heidelberg: Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/3-540-56798-4_221.

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Feng, Wei-yu Louis. "Application of a Feed-Forward Control Structure." In Lecture Notes in Electrical Engineering, 91–100. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-06764-3_12.

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Bergami, Leonardo. "Preliminary Evaluation with Feed-Forward Cyclic Control." In Research Topics in Wind Energy, 89–105. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07365-1_6.

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Kletschkowski, Thomas. "Sensors for Active Noise Control." In Adaptive Feed-Forward Control of Low Frequency Interior Noise, 49–60. Dordrecht: Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-2537-9_4.

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Kletschkowski, Thomas. "Actuators for Active Noise Control." In Adaptive Feed-Forward Control of Low Frequency Interior Noise, 61–69. Dordrecht: Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-2537-9_5.

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Conference papers on the topic "Contrôle feed-forward"

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Huang, Changsong, Jieying Lu, and Cheng Wen. "Variable Gain Feed-forward Control for Fast Positioning Servo System." In 2024 43rd Chinese Control Conference (CCC), 3192–97. IEEE, 2024. http://dx.doi.org/10.23919/ccc63176.2024.10661890.

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Qiu, Wuhan, Xianxu Bai, Qiuyi Wang, and Lijun Qian. "Feed-forward Compensation Optimization Control for a Pseudo-active Suspension." In 2024 8th CAA International Conference on Vehicular Control and Intelligence (CVCI), 1–6. IEEE, 2024. https://doi.org/10.1109/cvci63518.2024.10830074.

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Dughman, S. S., and J. A. Rossiter. "Efficient robust feed forward model predictive control with tracking." In 2016 UKACC 11th International Conference on Control (CONTROL). IEEE, 2016. http://dx.doi.org/10.1109/control.2016.7737593.

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Rossiter, J. A., and G. Valencia-Palomo. "Feed forward design in MPC." In 2009 European Control Conference (ECC). IEEE, 2009. http://dx.doi.org/10.23919/ecc.2009.7074491.

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Muenchhof, Marco, and Tarunraj Singh. "Concurrent Feed-forward/Feed-back Design for Flexible Structures." In AIAA Guidance, Navigation, and Control Conference and Exhibit. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2002. http://dx.doi.org/10.2514/6.2002-4941.

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Tsao, Tsu-Chin, and Masayoshi Tomizuka. "Indirect Adaptive Feed-Forward Tracking Controllers." In 1989 American Control Conference. IEEE, 1989. http://dx.doi.org/10.23919/acc.1989.4790157.

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Dughman, S. S., and John A. Rossiter. "Efficient feed forward design within MPC." In 2016 European Control Conference (ECC). IEEE, 2016. http://dx.doi.org/10.1109/ecc.2016.7810475.

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Ragb, Omar, D. L. Yu, and JB Gomm. "Adaptive feed-forward and feedback control for oxygen ratio in fuel cell stacks." In 2012 UKACC International Conference on Control (CONTROL). IEEE, 2012. http://dx.doi.org/10.1109/control.2012.6334751.

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van Bree, P. J., C. M. M. van Lierop, and P. P. J. van den Bosch. "Feed forward initialization of hysteretic systems." In 2010 49th IEEE Conference on Decision and Control (CDC). IEEE, 2010. http://dx.doi.org/10.1109/cdc.2010.5717261.

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Smit, M. R., A. R. Tjallema, and R. H. M. Huijsmans. "Current Feed Forward Control in Dynamic Positioning." In ASME 2011 30th International Conference on Ocean, Offshore and Arctic Engineering. ASMEDC, 2011. http://dx.doi.org/10.1115/omae2011-49144.

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The presented research investigates to what extent current feed forward control improves the positioning performance of Dynamically Positioned (DP) Floating Production Storage and Offloading (FPSO) vessels in varying currents. Positioning performance refers to the accuracy of positioning (both heading and horizontal position) and the associated power usage. Tidal current reversals and so called ‘internal soliton’ currents are examples of varying currents, in which current feed forward control is expected to improve positioning performance. Time domain simulations are carried out using the DpSim software, as developed by the Maritime Research Institute Netherlands (MARIN). In this research project, the DpSim software is extended with a module containing current feed forward control. When current feed forward control is applied in DP in varying currents, the mean and standard deviation of the control point excursion are reduced. The heading performance and power usage do not change significantly while achieving this reduction.
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Reports on the topic "Contrôle feed-forward"

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David Yuill. Development of an Accurate Feed-Forward Temperature Control Tankless Water Heater. Office of Scientific and Technical Information (OSTI), June 2008. http://dx.doi.org/10.2172/951066.

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Wright, Alan. Vindicator Lidar Assessment for Wind Turbine Feed-Forward Control Applications: Cooperative Research and Development Final Report, CRADA Number CRD-09-352. Office of Scientific and Technical Information (OSTI), January 2014. http://dx.doi.org/10.2172/1123205.

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Dunne, F., E. Simley, and L. Y. Pao. LIDAR Wind Speed Measurement Analysis and Feed-Forward Blade Pitch Control for Load Mitigation in Wind Turbines: January 2010--January 2011. Office of Scientific and Technical Information (OSTI), October 2011. http://dx.doi.org/10.2172/1028529.

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Baudais, Virginie, and Souleymane Maïga. The European Union Training Mission in Mali: An Assessment. Stockholm International Peace Research Institute, April 2022. http://dx.doi.org/10.55163/krbn9926.

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This SIPRI Background Paper provides an overview of the European Union Training Mission in Mali (EUTM Mali) and assesses its impact on Mali’s conflict dynamics since it was established in 2013. The third of three country-specific papers, it is part of a larger SIPRI project analysing the effectiveness of the EU’s training missions in Somalia, the Central African Republic and Mali. All three papers will feed into a synthesis paper that will offer a comparative analysis of the missions and recommendations for the way forward. This paper analyses EUTM Mali’s main training and advisory activities, before assessing its political and operational impacts. It summarizes the main factors that account for the mission’s successes and limitations, and makes three recommendations to augment the future impact of the mission. It concludes that EUTM Mali has made an impact in terms of military capacity building, but that further progress is needed to improve coordination with the Malian Armed Forces (Forces Armées Maliennes, FAMA). In addition, EUTM Mali faces many obstacles that lie largely beyond its control, including the deteriorating security situation in the centre of Mali and in the border region of Liptako-Gourma
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Yahav, Shlomo, John McMurtry, and Isaac Plavnik. Thermotolerance Acquisition in Broiler Chickens by Temperature Conditioning Early in Life. United States Department of Agriculture, 1998. http://dx.doi.org/10.32747/1998.7580676.bard.

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The research on thermotolerance acquisition in broiler chickens by temperature conditioning early in life was focused on the following objectives: a. To determine the optimal timing and temperature for inducing the thermotolerance, conditioning processes and to define its duration during the first week of life in the broiler chick. b. To investigate the response of skeletal muscle tissue and the gastrointestinal tract to thermal conditioning. This objective was added during the research, to understand the mechanisms related to compensatory growth. c. To evaluate the effect of early thermo conditioning on thermoregulation (heat production and heat dissipation) during 3 phases: (1) conditioning, (2) compensatory growth, (3) heat challenge. d. To investigate how induction of improved thermotolerance impacts on metabolic fuel and the hormones regulating growth and metabolism. Recent decades have seen significant development in the genetic selection of the meat-type fowl (i.e., broiler chickens); leading to rapid growth and increased feed efficiency, providing the poultry industry with heavy chickens in relatively short growth periods. Such development necessitates parallel increases in the size of visceral systems such as the cardiovascular and the respiratory ones. However, inferior development of such major systems has led to a relatively low capability to balance energy expenditure under extreme conditions. Thus, acute exposure of chickens to extreme conditions (i.e., heat spells) has resulted in major economic losses. Birds are homeotherms, and as such, they are able to maintain their body temperature within a narrow range. To sustain thermal tolerance and avoid the deleterious consequences of thermal stresses, a direct response is elicited: the rapid thermal shock response - thermal conditioning. This technique of temperature conditioning takes advantage of the immaturity of the temperature regulation mechanism in young chicks during their first week of life. Development of this mechanism involves sympathetic neural activity, integration of thermal infom1ation in the hypothalamus, and buildup of the body-to-brain temperature difference, so that the potential for thermotolerance can be incorporated into the developing thermoregulation mechanisms. Thermal conditioning is a unique management tool, which most likely involves hypothalamic them1oregulatory threshold changes that enable chickens, within certain limits, to cope with acute exposure to unexpected hot spells. Short-tem1 exposure to heat stress during the first week of life (37.5+1°C; 70-80% rh; for 24 h at 3 days of age) resulted in growth retardation followed immediately by compensatory growth" which resulted in complete compensation for the loss of weight gain, so that the conditioned chickens achieved higher body weight than that of the controls at 42 days of age. The compensatory growth was partially explained by its dramatic positive effect on the proliferation of muscle satellite cells which are necessary for further muscle hypertrophy. By its significant effect of the morphology and functioning of the gastrointestinal tract during and after using thermal conditioning. The significant effect of thermal conditioning on the chicken thermoregulation was found to be associated with a reduction in heat production and evaporative heat loss, and with an increase in sensible heat loss. It was further accompanied by changes in hormones regulating growth and metabolism These physiological responses may result from possible alterations in PO/AH gene expression patterns (14-3-3e), suggesting a more efficient mechanism to cope with heat stress. Understanding the physiological mechanisms behind thermal conditioning step us forward to elucidate the molecular mechanism behind the PO/AH response, and response of other major organs. The thermal conditioning technique is used now in many countries including Israel, South Korea, Australia, France" Ecuador, China and some places in the USA. The improvement in growth perfom1ance (50-190 g/chicken) and thermotolerance as a result of postnatal thermal conditioning, may initiate a dramatic improvement in the economy of broiler's production.
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