Relevant bibliographies by topics / Dynamic gain

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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 'Dynamic gain'

Author: Grafiati
Published: 4 June 2021
Last updated: 8 February 2022

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Journal articles on the topic "Dynamic gain"

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Doyle III, Francis J., Harpreet S. Kwatra, and James S. Schwaber. "Dynamic gain scheduled process control." Chemical Engineering Science 53, no. 15 (August 1998): 2675–90. http://dx.doi.org/10.1016/s0009-2509(98)00089-x.

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Jones, C. D. C., M. H. Lowenberg, and T. S. Richardson. "Tailored Dynamic Gain-Scheduled Control." Journal of Guidance, Control, and Dynamics 29, no. 6 (November 2006): 1271–81. http://dx.doi.org/10.2514/1.17295.

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Jones, C. D. C., T. S. Richardson, and M. H. Lowenberg. "Dynamic gain-scheduled control of the ICE 101-TV." Aeronautical Journal 109, no. 1102 (December 2005): 593–607. http://dx.doi.org/10.1017/s0001924000000932.

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Abstract This paper shows the theoretical development and application of dynamic gain scheduled control – a novel method for the control of nonlinear systems – to an aircraft model. The idea behind this method is to schedule the control law gains with a fast varying state variable rather than with a slow varying state or an input parameter. This is advantageous as it is then possible to schedule the gains with a state variable that is dominant in the mode that we are most interested in controlling. The use of this type of gain scheduling is shown to improve the transient response of the aircraft model when stepping between trim conditions and to overcome some of the problems associated with conventional gain scheduled controllers (such as control surface position limit saturation). ‘Hidden coupling terms’ that introduce unwanted dynamics when scheduling gains with a fast state (rather than the input design parameter) are eliminated directly by applying a transformation to the classical parameter-scheduled gain distributions which are calculated using eigenstructure assignment. A second order longitudinal model and a 5th order longitudinal/lateral model of the ICE 101-TV tailless delta-wing aircraft configuration are used to demonstrate the design process.
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Azami, N. "All-fiber dynamic gain slope compensator." Optics Communications 230, no. 4-6 (February 2004): 325–29. http://dx.doi.org/10.1016/j.optcom.2003.11.060.

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Sripati, Arun P., and Kenneth O. Johnson. "Dynamic Gain Changes During Attentional Modulation." Neural Computation 18, no. 8 (August 2006): 1847–67. http://dx.doi.org/10.1162/neco.2006.18.8.1847.

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Attention causes a multiplicative effect on firing rates of cortical neurons without affecting their selectivity (Motter, 1993; McAdams & Maunsell, 1999a) or the relationship between the spike count mean and variance (McAdams & Maunsell, 1999b). We analyzed attentional modulation of the firing rates of 144 neurons in the secondary somatosensory cortex (SII) of two monkeys trained to switch their attention between a tactile pattern recognition task and a visual task. We found that neurons in SII cortex also undergo a predominantly multiplicative modulation in firing rates without affecting the ratio of variance to mean firing rate (i.e., the Fano factor). Furthermore, both additive and multiplicative components of attentional modulation varied dynamically during the stimulus presentation. We then used a standard conductance-based integrate-and-fire model neuron to ascertain which mechanisms might account for a multiplicative increase in firing rate without affecting the Fano factor. Six mechanisms were identified as biophysically plausible ways that attention could modify the firing rate: spike threshold, firing rate adaptation, excitatory input synchrony, synchrony between all inputs, membrane leak resistance, and reset potential. Of these, only a change in spike threshold or in firing rate adaptation affected model firing rates in a manner compatible with the observed neural data. The results indicate that only a limited number of biophysical mechanisms can account for observed attentional modulation.
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Richardson, T., M. Lowenberg, C. Jones, and A. Dubs. "Dynamic gain scheduled control of a Hawk scale model." Aeronautical Journal 111, no. 1121 (July 2007): 461–69. http://dx.doi.org/10.1017/s0001924000004723.

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Abstract When designing flight control laws using linearisations of an aircraft model about different flight conditions, some form of scheduling of the resultant gains will often be required to implement the controller over wide operating regions. In practice, the controller gains are often scheduled against relatively slowly-varying system states such as altitude or velocity. However, it may also be desirable to schedule gains against rapidly-varying states such as angle-of-attack, thereby generating a cyclic dependence through hidden coupling terms. Previous published work at Bristol has developed a numerical method of accounting for this dependence when scheduling state feedback gains against coupled states. The resulting ‘dynamic gain schedule’ is shown to significantly improve the transient response of the aircraft model during rapid manoeuvring and to reduce the chances of control surface actuator position limit saturation. In this paper, the novel design process, using eigenstructure assignment, is applied to a mathematical second-order longitudinal aircraft model which represents an approximate BAe Hawk wind-tunnel model. The dynamic gain scheduled controller is shown to work extremely well in practice when applied to the closed-loop experimental rig. Despite the highly nonlinear characteristics of the model aerodynamics and tailplane actuation system, as well as unmodelled high turbulence levels, dynamic gain scheduling demonstrates stable closed loop control even in regions where the nonlinearities are such that conventional gain scheduling fails to produce a stable response.
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Handogo, Renanto, Avon T. H., and Joko Lelono. "Comparison of Steady State and Dynamic Interaction Measurements in Multiloop Control Systems." ASEAN Journal of Chemical Engineering 5, no. 1 (June 1, 2005): 1. http://dx.doi.org/10.22146/ajche.50158.

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The applicability of the steady-state Relative Gain Array (RGA) to measure dynamic process interactions in a multiloop control system was investigated. Several transfer function matrices were chosen, and the gains, time constants, and dead times of their elements were varied to represent the systems with dominant dynamic interactions. It was shown that the steady-state RGA method predicted the controller pairing accurately if the pairing elements recommended by RGA had the bigger gains and the same or smaller time constants compared to other elements in the corresponding rows. When these conditions were not met, the RGA would give a wrong result, and dynamic interaction measurements, such as the Average Dynamic Gain Array (ADGA) and the Inverse Nyquist Array (lNA), should be used instead to determine the best controller pairing in a multiloop control system. Keywords: Control pairing, dynamic process interaction, multiloop control systems, Relative Gain Array (RGA), and steady state.
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Kroeger, Brian W., and John J. Kurtz. "Speech enhancement system having dynamic gain control." Journal of the Acoustical Society of America 86, no. 6 (December 1989): 2477. http://dx.doi.org/10.1121/1.398765.

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Wang, Michael Mao. "Dynamic Gain Management for On-Channel Repeaters." IEEE Transactions on Broadcasting 59, no. 4 (December 2013): 685–92. http://dx.doi.org/10.1109/tbc.2013.2284417.

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Liansheng Tan, Yan Yang, Wei Zhang, and M. Zukerman. "On control gain selection in dynamic-RED." IEEE Communications Letters 9, no. 1 (January 2005): 81–83. http://dx.doi.org/10.1109/lcomm.2005.1375249.

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Dissertations / Theses on the topic "Dynamic gain"

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Jones, Christopher D. C. "Dynamic gain-scheduled control of a nonlinear UCAV model." Thesis, University of Bristol, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.424426.

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THOMAS, DJEISSON HOFFMANN. "CONTROL SYSTEM TO SUPPRESS GAIN DYNAMIC INSTABILITIES OF AN EDFA." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2003. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=3954@1.

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CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO
ERICSSON DO BRASIL
Objetivando suprimir as instabilidades dinâmicas de ganho em um amplificador à fibra dopada com Érbio (EDFA), uma nova configuração de laser em anel é apresentada e demonstrada. Neste trabalho, analizamos os efeitos da variação do nível de atenuação no laço de re-alimentação sobre a resposta transitória do EDFA. Particularmente, observamos as excursões de ganho experimentadas pelo canal sobrevivente quando sete dentre oito canais da rede são adicionados ou removidos, à exemplo do que ocorre em sistemas WDM reais. Sob esta análise, avaliamos o desempenho do sistema em suprimir as instabilidades dinâmicas de ganho do EDFA.
A new ring laser configuration to eliminate the gain dynamic instabilities of an erbium doped fiber amplifier (EDFA) is proposed and demonstrated. We examine the effect of the attenuation level in the optical feedback path over thetransient response of the EDFA. In particular, we look at the transient gain excursions experienced by surviving channel when seven of eight channels are added or dropped, like in real WDM systems. Using this analysis as a guide, we highlight the robustness of the approach and evaluate its performance to EDFA gain stabilization.
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Szabo, Melinda Dora. "Adaptive gain spatial receiver for wide dynamic range communication links." Thesis, Massachusetts Institute of Technology, 2020. https://hdl.handle.net/1721.1/130198.

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Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, May, 2020
Cataloged from student-submitted PDF of thesis.
Includes bibliographical references (pages 317-323).
Wireless optical communication facilitates high-speed transmission across long distances. However, time-varying and spatially-dependent attenuation through freespace channels due to scattering impedes operation for many wide dynamic range links. In the atmosphere, communication is often limited to short transmission times when optimal power is delivered to the detector, as the distance and channel conditions between ground terminals and airborne or space systems changes constantly. This effect is even more apparent in oceans, where optical attenuation varies so drastically that it has hindered practical implementation of high-speed communication undersea. To accommodate the wide range of input powers, a novel adaptive gain spatial receiver is developed in this thesis. The designed device replaces multiple detector functions of an existing underwater laser communication system with an adjustable gain and sensitivity receiver for long-range or high-rate transmissions. The novel receiver also provides spatial resolution for improved efficiency and performance. In preliminary laboratory tests, a proof-of-concept setup validates simulation expectations and informs future terminal integration. Using the new system, a wide range of input power across six orders of magnitude down to single photon detection and data rates up to 1Gb/s are attainable, which will enable future tests in the open ocean.
by Melinda Dora Szabo.
M. Eng.
M.Eng. Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science
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Kadhim, Ali. "Estimation of the Dynamic Relative Gain Array for Control Configuration Selection." Licentiate thesis, Luleå tekniska universitet, Signaler och system, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-26177.

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The control of multi-input multi-output systems (MIMO) is more difficult than for single-input single-output systems (SISO) due to the multitude of input-output couplings. Coupling, simply means that a change in any input leads to changes in many outputs. Nevertheless, in many cases, a simple decentralised controller is usually sufficient to achieve desired performance goals. However, there is a need for systematic techniques that can suggest the most promising configurations or pairings for the decentralized controller.The relative gain array (RGA) has proven itself to be an efficient tool to solve the pairing problem. It is easily calculated and does not depend on input-output scaling. However, it gives misleading results in some cases where system dynamics are involved and hence Dynamic Relative Gain Array (DRGA) used instead. The commonplace procedure to estimate DRGA values from the input-output data is to identify a parametric system model. Thus, the user needs to decide a model structure and a model order to calculate the system frequency response. Eventually, DRGA values are obtained based on that system frequency response over the frequency range of interest. In this work, a method which requires less user interaction is proposed. The system frequency response, and subsequently the DRGA, is directly estimated from the input-output data by employing a non-parametric identification approach. Such an approach reduces the uncertainties arising from incorrect user decisions by avoiding the parametric model identification. However, DRGA values obtained by the nonparametric identification are subject to different uncertainty sources such as system nonlinearity and noise. In this thesis various strategies are presented to reduce the effect of these uncertainties. In that direction, RGA (DRGA) of linear systems is first analysed using a random excitation signal. Due to the nonperiodic nature of the random signal, the frequency response is susceptible to leakage. To reduce the leakage effect, data is divided into sub-records and the frequency response was averaged over these sub-records. Although the data division proved to be efficient in limiting the leakage effect it has a drawback of reducing the frequency resolution. Moreover, RGA (DRGA) of weakly nonlinear systems is analysed using a multisine excitation signal. The multisine excitation is used to distinguish between the nonlinear distortion and the output noise. It is very difficult to make such distinction using the random excitation. However, long experimental time is needed in returns. To overcome the shortcomings represented by low frequency resolution and the experiment running time, local polynomial approximation approach (LPA) is investigated using both random and multisine excitation.In that direction, RGA (DRGA) of linear systems is first analysed using a random excitation signal. Due to the nonperiodic nature of the random signal, the frequency response is susceptible to leakage. To reduce the leakage effect, data is divided into sub-records and the frequency response was averaged over these sub-records. Although the data division proved to be efficient in limiting the leakage effect it has a drawback of reducing the frequency resolution. Moreover, RGA (DRGA) of weakly nonlinear systems is analysed using a multisine excitation signal. The multisine excitation is used to distinguish between the nonlinear distortion and the output noise. It is very difficult to make such distinction using the random excitation. However, long experimental time is needed in returns. To overcome the shortcomings represented by low frequency resolution and the experiment running time, local polynomial approximation approach (LPA) is investigated using both random and multisine excitation.It can be concluded that the proposed approach achieves quite accurate RGA values with the advantage of exempting the user from deriving a complete parametric model of the plant. Hence, efforts of identifying the parameters of all MIMO subsystems can be saved by finding the parameters of the most significant subsystems of a multivariable system.
Godkänd; 2015; 20151027 (alikad); Nedanstående person kommer att hålla licentiatseminarium för avläggande av teknologie licentiatexamen. Namn: Ali Mohammed Hussein Kadhim Ämne: Reglerteknik/Control Engineering Uppsats: Estimation of the Dynamic Relative Gain Array for Control Configuration Selection Examinator: Professor Wofgang Birk, Institutionen för system- och rymdteknik, Avdelning: Signaler och system, Luleå tekniska universitet Diskutant: Associate Professor Hamid Reza Shaker, The Maersk Mc-Kinney Moller Institute, Denmark Tid: Onsdag 4 december 2015 kl 09.30 Plats: F531, Luleå tekniska universitet
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Franklin, Timothy C. "Linear System Analyses of the Role of Reflex Gain and Delay in a Dynamic Human Spine Model." Thesis, Virginia Tech, 2006. http://hdl.handle.net/10919/33605.

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Measurement studies have linked paraspinal muscle reflexes to low back pain. However, the role of reflexes in stabilizing the spine is not clear. Previous studies enlisted biomechanical models to aid in understanding of how intrinsic stiffness stabilizes the spine. This work expands these previous studies by modeling the neuromuscular dynamic control of the spine. The presence of delay in the reflexive system limits the availability of traditional stability analyses. However it is possible to investigate how reflex delay affects stability of the spine model using methods in linear time delayed stability. Such analyses find the maximum reflex delay, i.e., the delay margin for which stability is possible. Therefore a biomechanical model of the spine was developed that used these methods for stability. The model was able to demonstrate how reflex gains and delays affect stability. It was shown that increased proportional reflex gain reduced the amount of co-contraction required for stability. However, increased reflex gain required a reduced delay margin of the system. Differential reflex gain had no effect on the amount of co-contraction required for stability. However, it was shown to increase the delay margin for small gains. As the differential reflex gain approached the magnitude of intrinsic muscle damping the trend was reversed, and increased gain caused the delay margin to approach zero. Increased intrinsic muscle damping did not affect the minimum co-contraction required for stability, but was shown to increase the delay margin in all cases. This study provided a theoretical explanation for the role of reflexes in stabilizing the spine. Results agree with the trends in the published literature regarding patients with low-back pain. Specifically, these patients demonstrate abnormally larger reflex delay. To maintain stability, atypically small reflex gain is necessary. Compensatory co-contraction is required to offset the small reflex gain. Co-contraction and instability is observed in low back pain patients. The results presented here agree with measurement studies, and should aid in the development of hypotheses for future measurement studies.
Master of Science
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Chen, Lin. "A low power, high dynamic-range, broadband variable gain amplifier for an ultra wideband receiver." Texas A&M University, 2003. http://hdl.handle.net/1969.1/5843.

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A fully differential Complementary Metal-Oxide Semiconductor (CMOS) Variable Gain Amplifier (VGA) consisting of complementary differential pairs with source degeneration, a current gain stage with programmable current mirror, and resistor loads is designed for high frequency and low power communication applications, such as an Ultra Wideband (UWB) receiver system. The gain can be programmed from 0dB to 42dB in 2dB increments with -3dB bandwidth greater than 425MHz for the entire range of gain. The 3rd-order intercept point (IIP3) is above -13.6dBm for 1Vpp differential input and output voltages. These low distortion broadband features benefit from the large linear range of the differential pair with source degeneration and the low impedance internal nodes in the current gain stages. In addition, common-mode feedback is not required because of these low impedance nodes. Due to the power efficient complementary differential pairs in the input stage, power consumption is minimized (9.5mW) for all gain steps. The gain control scheme includes fine tuning (2dB/step) by changing the bias voltage of the proposed programmable current mirror, and coarse tuning (14dB/step) by switching on/off the source degeneration resistors in the differential pairs. A capacitive frequency compensation scheme is used to further extend the VGA bandwidth.
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Syed, Khalid Siraj. "A theoretical study of dynamic gain gratings and their application to self-adaptive laser oscillators." Thesis, Imperial College London, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.298865.

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Rubio, Pedro, Francisco Fernandez, and Francisco Jimenez. "REAL TIME C BAND LINK BUDGET MODEL CALCULATION." International Foundation for Telemetering, 2016. http://hdl.handle.net/10150/624184.

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The purpose of this paper is to show the integration of the transmission gain values of a telemetry transmission antenna according to its relative position and integrate them in the C band link budget, in order to obtain an accuracy vision of the link. Once our C band link budget was fully performed to model our link and ready to work in real time with several received values (GPS position, roll, pitch and yaw) from the aircraft and other values from the Ground System (azimuth and elevation of the reception telemetry antenna), it was necessary to avoid a constant value of the transmitter antenna and estimate its values with better accuracy depending of the relative beam angles between the transmitter antenna and receiver antenna. Keeping in mind an aircraft is not a static telecommunication system it was necessary to have a real time value of the transmission gain. In this paper, we will show how to perform a real time link budget (C band).
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Cylc, Linda. "A VALUABLE TOOL TO HAVE WHEN WORKING WITH PSK DEMODULATORS IS A KNOWLEDGE OF ITS FUNCTIONALITY." International Foundation for Telemetering, 1998. http://hdl.handle.net/10150/609675.

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International Telemetering Conference Proceedings / October 26-29, 1998 / Town & Country Resort Hotel and Convention Center, San Diego, California
PSK demodulators have been an integral part of the signal recovery process for decades. Unless a person has designed a demodulator, how much can a person know or understand about its operation? Instruction on how to set up a demodulator’s parameters to acquire a signal is found in a manual. An explanation of why parameters are set a certain way to handle particular input signal characteristics is often not provided in a manual. This paper is designed to be a tool to aid engineers, technicians, and operators who utilize demodulators. Its purpose is to relay the functionality of a demodulator to a user so that he or she can take advantage of its control parameters and status feedback. Knowing the reasons why a demodulator is set to certain parameters may greatly reduce confusion when a system is not working properly. On site troubleshooting may be accomplished without the need to call the manufacturer of the product. Another advantage of understanding the operation will be recognized when interfacing with the manufacturer. A person will be able to relay the information to a design engineer more easily, and will understand more of the engineer’s feedback on the potential problem. Utilizing this paper as an aid to enhance operation of a PSK demodulator will bring a user one step closer to understanding the complexity of its design.
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Bernard, Pauline. "Synthèse d'observateur pour systèmes non linéaires." Thesis, Paris Sciences et Lettres (ComUE), 2017. http://www.theses.fr/2017PSLEM010/document.

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Contrairement aux systèmes linéaires, il n’existe pas de méthode systématique pour la synthèse d’observateurs pour systèmes non linéaires. Cependant, la synthèse peut être plus ou moins simple suivant les coordonnées choisies pour exprimer la dynamique. Des structures particulières, appelées formes canoniques, ont notamment été identifiées comme permettant la construction facile et directe d’un observateur. Une façon usuelle de résoudre ce problème consiste donc à chercher un changement de coordonnées réversible transformant l’expression de la dynamique dans l’une de ces formes canoniques, puis à synthétiser l’observateur dans ces coordonnées, et enfin à en déduire une estimation de l’état du système dans les coordonnées initiales par inversion de la transformation. Cette thèse contribue à chacune de ces trois étapes. Premièrement, nous montrons l’intérêt d’une nouvelle forme triangulaire avec des non linéarités continues (non Lipschitz). En effet, les systèmes observables pour toutes entrées, mais dont l'ordre d’observabilité différentielle est supérieur à la dimension du système, peuvent ne pas être transformables dans la forme triangulaire Lipschitz standard, mais plutôt dans une forme triangulaire "seulement continue". Le célèbre observateur grand gain n’est alors plus suffisant, et nous proposons d’utiliser plutôt des observateurs homogènes.Une autre forme canonique intéressante est la forme linéaire Hurwitz, qui admet un observateur trivial. La question de la transformation d’un système non linéaire dans une telle forme n’a été étudiée que pour les systèmes autonomes à travers les observateurs de Kazantzis-Kravaris ou de Luenberger. Nous montrons ici comment cette synthèse, consistant à résoudre une EDP, peut être étendue aux systèmes instationnaires/commandés. Quant à l’inversion de la transformation, cette étape est loin d’être triviale en pratique, surtout lorsque les espaces de départ et d’arrivée ont des dimensions différentes. En l’absence d’expression explicite et globale de l’inverse, l’inversion numérique repose souvent sur la résolution d’un problème de minimisation couteux en calcul. C’est pourquoi nous développons une méthode qui permet d’éviter l’inversion explicite de la transformation en ramenant la dynamique de l’observateur (exprimée dans les coordonnées de la forme canonique) dans les coordonnées initiales du système. Ceci passe par l’ajout de nouvelles coordonnées et par l’augmentation d’une immersion injective en un difféomorphisme surjectif. Enfin, dans une partie totalement indépendante, nous proposons aussi des résultats concernant l’estimation de la position du rotor d’un moteur synchrone à aimant permanent en l’absence d’informations mécaniques (sensorless) et lorsque des paramètres tels que la résistance ou le flux de l’aimant sont inconnus. Ceci est illustré par des simulations sur données réelles
Unlike for linear systems, no systematic method exists for the design of observers for nonlinear systems. However, observer design may be more or less straightforward depending on the coordinates we choose to express the system dynamics. In particular, some specific structures, called canonical forms, have been identified for allowing a direct and easier observer construction. It follows that a common way of addressing the problem consists in looking for a reversible change of coordinates transforming the exression of the system dynamics into one of those canonical forms, design an observer in those coordinates, and finally deduce an estimate of the system state in the initial coordinates via inversion of the transformation. This thesis contributes to each of those three steps.First, we show the interest of a new triangular canonical form with continuous (non-Lipschitz) nonlinearities. Indeed, we have noticed that systems which are observable for any input but with an order of differential observability larger than the system dimension, may not be transformable into the standard Lipschitz triangular form, but rather into an "only continuous" triangular form. In this case, the famous high gain observer no longer is sufficient, and we propose to use homogeneous observers instead.Another canonical form of interest is the Hurwitz linear form which admits a trivial observer. The question of transforming a nonlinear system into such a form has only been addressed for autonomous systems with the so-called Lunberger or Kazantzis-Kravaris observers. This design consists in solving a PDE and we show here how it can be extended to time-varying/controlled systems.As for the inversion of the transformation, this step is far from trivial in practice, in particular when the domain and image spaces have different dimensions. When no explicit expression for a global inverse is available, numerical inversion usually relies on the resolution of a minimization problem with a heavy computational cost. That is why we develop a method to avoid the explicit inversion of the transformation by bringing the observer dynamics (expressed in the canonical form coordinates) back into the initial system coordinates. This is done by dynamic extension, i-e by adding some new coordinates to the system and augmenting an injective immersion into a surjective diffeomorphism.Finally, in a totally independent part, we also provide some results concerning the estimation of the rotor position of a permanent magnet synchronous motors without mechanical information (sensorless) and when some parameters such as the magnet flux or the resistance are unknown. We illustrate this with simulations on real data
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Books on the topic "Dynamic gain"

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Ma, Zhe. Dynamic query algorithms for human-computer interaction based on information gain and the multi-layer perceptron. Sheffield: University of Sheffield, Dept. of Automatic Control & Systems Engineering, 1996.

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Bunce, M. J. How best can a business achieve operations excellence to gain a competitive advantage in today's dynamic market place?. Oxford: Oxford Brookes University, 1998.

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Baldwin, Richard E. Measurable dynamic gains from trade. Cambridge, MA: National Bureau of Economic Research, 1989.

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1960-, Davis Brian L., and O'Connor Jeremy C. 1968-, eds. Dynamics of human gait. Champaign, Ill: Human Kinetics Publishers, 1992.

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Wacziarg, Romain. Measuring the dynamic gains from trade. Washington, DC: World Bank, 1998.

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Sialm, Clemens. Stochastic taxation and asset pricing in dynamic general equilibrium. Cambridge, MA: National Bureau of Economic Research, 2002.

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The new dynamics of winning: Gain the mind-set of a champion. London: Brealey Publishing, 1994.

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Jalan, Jyotsna. Are there dynamic gains from a poor-area development program? Washington, DC: World Bank, Policy Research Dept., Poverty and Human Resources Division, 1996.

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Igor, Paunovic, and United Nations. Economic Commission for Latin America and the Caribbean. Economic Development Division, eds. Regional integration in Latin America and dynamic gains from macroeconomic cooperation. Santiago de Chile: ECLAC, Economic Development Division, 2003.

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R, Kump Lee, ed. Mathematical modeling of Earth's dynamical systems: A primer. Princeton, N.J: Princeton University Press, 2011.

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Book chapters on the topic "Dynamic gain"

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Nardone, P., and P. Mandel. "Dynamic Gain of an Optical Transistor." In Springer Proceedings in Physics, 53–56. Berlin, Heidelberg: Springer Berlin Heidelberg, 1986. http://dx.doi.org/10.1007/978-3-642-46580-2_16.

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Zhu, Xin jie. "Dynamic High Gain output Feedback Stabilization Algorithm." In Computation and Control II, 359–69. Boston, MA: Birkhäuser Boston, 1991. http://dx.doi.org/10.1007/978-1-4612-0427-5_24.

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Reichardt, Tom, Fatos Elezi, Iris D. Tommelein, and Udo Lindemann. "CREATING DYNAMIC ORGANIZATIONAL MODULARITY IN LEAN CONSTRUCTION DESIGN – COMBINING MDM AND DSM METHODOLOGY SYSTEMATICALLY." In Gain competitive advantage by managing complexity, 343–55. München: Carl Hanser Verlag GmbH & Co. KG, 2012. http://dx.doi.org/10.3139/9783446434127.027.

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Khoo, Michael C. K. "Estimation of Dynamic Chemoreflex Gain from Spontaneous Breathing Data." In Modeling and Parameter Estimation in Respiratory Control, 91–105. Boston, MA: Springer US, 1989. http://dx.doi.org/10.1007/978-1-4613-0621-4_10.

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Rantzer, Anders. "To estimate the L 2-gain of two dynamic systems." In Open Problems in Mathematical Systems and Control Theory, 177–79. London: Springer London, 1999. http://dx.doi.org/10.1007/978-1-4471-0807-8_36.

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Peralez, J., V. Andrieu, M. Nadri, and U. Serres. "Event-Triggered State-Feedback via Dynamic High-Gain Scaling for Nonlinearly Bounded Triangular Dynamics." In Control Subject to Computational and Communication Constraints, 151–79. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-78449-6_8.

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de Moura, Uiara Celine, Miquel Garrich, Amilcar Careli Cesar, Jacklyn Dias Reis, Juliano Oliveira, and Evandro Conforti. "Optical Amplifier Cognitive Gain Adjustment Methodology for Dynamic and Realistic Networks." In Cognitive Technologies, 113–49. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-53753-5_9.

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Polychronis, Giorgos, and Spyros Lalis. "Dynamic Vehicle Routing Under Uncertain Energy Consumption and Energy Gain Opportunities." In Communications in Computer and Information Science, 135–55. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-68028-2_7.

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Verma, Vivek, and Chetan D. Parikh. "A Low-Power Wideband High Dynamic Range Single-Stage Variable Gain Amplifier." In Communications in Computer and Information Science, 19–25. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-42024-5_3.

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Mohamed Mustafa, Mohamed Iqbal. "Simple Cycle Gas Turbine Dynamic Analysis Using Fuzzy Gain Scheduled PID Controller." In Advances in Intelligent Systems and Computing, 77–90. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-2740-1_6.

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Conference papers on the topic "Dynamic gain"

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Liu, Yan, and Dirk So¨ffker. "Contact Force Estimation for an Elastic Beam Using Optimal High-Gain Disturbance Observer." In ASME 2010 Dynamic Systems and Control Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/dscc2010-4169.

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This contribution presents a contact force estimation approach based on an optimal high-gain disturbance observer for an elastic beam using noisy measurements. The reconstruction of contact forces as an example for unknown input estimation represents a class of typical mechanical engineering problems related to the estimation of unknown effects for disturbance rejection or accommodation or fault diagnosis and isolation. The high-gain disturbance observers applied here is able to estimate estimate unknown external inputs together with system states. But choosing observer gains is a difficult task because of the influence of measurement noise. The important advantage of the proposed approach in comparison with classical high-gain disturbance observer is the self adjustment of the observer gains according to the actual estimation situation. Estimation results based on real measurements from known high-gain disturbance observer and the proposed optimal one are compared. It can be shown that the proposed algorithm allows optimized disturbance observer gains calculation, being able to be situatively adapted.
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de Oliveira, Julio C. R. F., João B. Rosolem, Ronaldo F. da Silva, and Aldário C. Bordonalli. "Gain Controlled EDFA with Extended Dynamic Gain Range." In Frontiers in Optics. Washington, D.C.: OSA, 2006. http://dx.doi.org/10.1364/fio.2006.fwa2.

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Farza, M., M. M'Saad, M. Oueder, L. Sellami, and R. Ben Abdennour. "Dynamic high gain observer design." In 2009 6th International Multi-Conference on Systems, Signals and Devices (SSD). IEEE, 2009. http://dx.doi.org/10.1109/ssd.2009.4956771.

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Sudakar, Madhavan, Siddharth Sridhar, and Manish Kumar. "PD Controller With Self Adaptive Gains for Quadrotor Waypoint Navigation." In ASME 2020 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/dscc2020-3327.

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Abstract Proportional-Derivative (PD) controllers are commonly used in quadrotors due to their simple structure. Tuning of the gains of the PD controller is often cumbersome due to strong coupling of the dynamics between three linear and three angular degrees of freedom. This paper presents a novel method of auto adjusting the proportional and derivative gains of the quadrotor without the use of any stable reference model (unlike model reference adaptive control). The gains are automatically adjusted throughout the flight based on just the state errors. Lyapunov stability analysis and adaptive gain law is used to formulate the control algorithm to achieve way point navigation. It is shown that our proposed controller achieves effective way point navigation even when started off from random gain values.
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Nasrullah, K., and T. A. Hall. "Photonic diffusion through dynamic gain gratings." In ICALEO® 2000: Proceedings of the Laser Materials Processing Conference. Laser Institute of America, 2000. http://dx.doi.org/10.2351/1.5059497.

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de Oliveira, Júlio C. R. F., João B. Rosolem, and Aldário C. Bordonalli. "Noise Figure of Gain Controlled EDFAs with Extended Dynamic Gain Range." In Frontiers in Optics. Washington, D.C.: OSA, 2007. http://dx.doi.org/10.1364/fio.2007.fwb5.

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Feng, Fan, Susan C. Schneider, and Edwin E. Yaz. "Analysis of Performance Resilience for Discrete-Time Systems With Both Multiplicative and Additive Control Gain Perturbations." In ASME 2016 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/dscc2016-9797.

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In this work, a procedure is presented for performance analysis of the resilience property of discrete-time systems with perturbed controller and observer gains. The resilience property is defined in terms of both multiplicative and additive perturbations on the gains so that the closed loop eigenvalues do not leave a specified region in the complex plane. In this work, this region is chosen as a disk in the unit circle. Maximum gain perturbation bounds can be obtained based on the designer’s choices of controller eigenvalue region. The linear matrix inequality technique is used throughout the analysis process. Illustrative examples are included to demonstrate the effectiveness of the proposed methodology. The observer counterpart of the results is also provided in an appendix.
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Gadsden, S. Andrew. "An Adaptive PID Controller Based on Bayesian Theory." In ASME 2017 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/dscc2017-5340.

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One of the most popular trajectory-tracking controllers used in industry is the PID controller. The PID controller utilizes three types of gains and the tracking error in order to provide a control gain to a system. The PID gains may be tuned manually or using a number of different techniques. Under most operating conditions, only one set of PID gains are used. However, techniques exist to compensate for dynamic systems such as gain scheduling or basic time-varying functions. In this paper, an adaptive PID controller is presented based on Bayesian theory. The interacting multiple model (IMM) method, which utilizes Bayes’ theorem and likelihood functions, is implemented on the PID controller to present an adaptive control strategy. The strategy is applied to a simulated electromechanical system, and the results of the proposed controller are compared with the standard PID method. Future work is also considered.
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Thomas, D. H., and J. P. von der Weld. "Dynamic gain-fluctuations in gain-clamped EDFA in packet switched optical transmissions." In 2005 Optical Fiber Communications Conference Technical Digest. IEEE, 2005. http://dx.doi.org/10.1109/ofc.2005.192966.

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Seo Yeon Park, Hyang Kyun Kim, Dong Ho Lee, and Sang-Yung Shin. "Dynamic gain-controlled EDFA for WDM network." In Technical Digest Summaries of papers presented at the Conference on Lasers and Electro-Optics Conference Edition. 1998 Technical Digest Series, Vol.6. IEEE, 1998. http://dx.doi.org/10.1109/cleo.1998.676180.

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Reports on the topic "Dynamic gain"

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Baldwin, Richard. Measureable Dynamic Gains from Trade. Cambridge, MA: National Bureau of Economic Research, October 1989. http://dx.doi.org/10.3386/w3147.

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Weyand, Peter. Gait Dynamics and Locomotor Metabolism. Fort Belvoir, VA: Defense Technical Information Center, October 2011. http://dx.doi.org/10.21236/ada612318.

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Weyand, Peter. Gait Dynamics and Locomotor Metabolism. Fort Belvoir, VA: Defense Technical Information Center, December 2014. http://dx.doi.org/10.21236/ada624102.

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Weyand, Peter. Gait Dynamics and Locomotor Metabolism. Fort Belvoir, VA: Defense Technical Information Center, May 2009. http://dx.doi.org/10.21236/ada618434.

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Ravikumar, B., Ana Maria Santacreu, and Michael J. Sposi. Capital Accumulation and Dynamic Gains from Trade. Federal Reserve Bank of St. Louis, 2017. http://dx.doi.org/10.20955/wp.2017.005.

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Hsu, Wen-Tai, Raymond Riezman, and Ping Wang. Innovation, Growth, and Dynamic Gains from Trade. Cambridge, MA: National Bureau of Economic Research, November 2019. http://dx.doi.org/10.3386/w26470.

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Hong, Sungki, and Terry S. Moon. Capital Gains Taxation and Investment Dynamics. Federal Reserve Bank of St. Louis, 2018. http://dx.doi.org/10.20955/wp.2018.031.

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Leibovici, Fernando, Michal Szkup, and David Kohn. No Credit, No Gain: Trade Liberalization Dynamics, Production Inputs, and Financial Development. Federal Reserve Bank of St. Louis, 2020. http://dx.doi.org/10.20955/wp.2020.038.

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Alessandria, George, Horag Choi, and Kim Ruhl. Trade Adjustment Dynamics and the Welfare Gains from Trade. Cambridge, MA: National Bureau of Economic Research, November 2014. http://dx.doi.org/10.3386/w20663.

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Gourio, François, and Jianjun Miao. Transitional Dynamics of Dividend and Capital Gains Tax Cuts. Cambridge, MA: National Bureau of Economic Research, July 2010. http://dx.doi.org/10.3386/w16157.

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