Relevant bibliographies by topics / Feedback dynamics

Academic literature on the topic 'Feedback dynamics'

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Published: 4 June 2021
Last updated: 10 February 2022

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Journal articles on the topic "Feedback dynamics"

1

Song, Ki-Young, Madan M. Gupta, and Noriyasu Homma. "Design of an Error-Based Adaptive Controller for a Flexible Robot Arm Using Dynamic Pole Motion Approach." Journal of Robotics 2011 (2011): 1–9. http://dx.doi.org/10.1155/2011/726807.

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Design of an adaptive controller for complex dynamic systems is a big challenge faced by the researchers. In this paper, we introduce a novel concept ofdynamic pole motion(DPM) for the design of an error-based adaptive controller (E-BAC). The purpose of this novel design approach is to make the system response reasonably fast with no overshoot, where the system may be time varying and nonlinear with only partially known dynamics. The E-BAC is implanted in a system as a nonlinear controller with two dominant dynamic parameters: the dynamic position feedback and the dynamic velocity feedback. For illustrating the strength of this new approach, in this paper we give an example of a flexible robot with nonlinear dynamics. In the design of this feedback adaptive controller, parameters of the controller are designed as a function of the system error. The position feedbackKp(e,t)and the velocity feedbackKv(e,t)are continuously varying and formulated as a function of the system errore(t). This approach for formulating the adaptive controller yields a very fast response with no overshoot.
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Snippe, H. P., and J. H. van Hateren. "Dynamics of Nonlinear Feedback Control." Neural Computation 19, no. 5 (May 2007): 1179–214. http://dx.doi.org/10.1162/neco.2007.19.5.1179.

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Feedback control in neural systems is ubiquitous. Here we study the mathematics of nonlinear feedback control. We compare models in which the input is multiplied by a dynamic gain (multiplicative control) with models in which the input is divided by a dynamic attenuation (divisive control). The gain signal (resp. the attenuation signal) is obtained through a concatenation of an instantaneous nonlinearity and a linear low-pass filter operating on the output of the feedback loop. For input steps, the dynamics of gain and attenuation can be very different, depending on the mathematical form of the nonlinearity and the ordering of the nonlinearity and the filtering in the feedback loop. Further, the dynamics of feedback control can be strongly asymmetrical for increment versus decrement steps of the input. Nevertheless, for each of the models studied, the nonlinearity in the feedback loop can be chosen such that immediately after an input step, the dynamics of feedback control is symmetric with respect to increments versus decrements. Finally, we study the dynamics of the output of the control loops and find conditions under which overshoots and undershoots of the output relative to the steady-state output occur when the models are stimulated with low-pass filtered steps. For small steps at the input, overshoots and undershoots of the output do not occur when the filtering in the control path is faster than the low-pass filtering at the input. For large steps at the input, however, results depend on the model, and for some of the models, multiple overshoots and undershoots can occur even with a fast control path.
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Varone, A., A. Politi, and M. Ciofini. "CO2laser dynamics with feedback." Physical Review A 52, no. 4 (October 1, 1995): 3176–82. http://dx.doi.org/10.1103/physreva.52.3176.

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Wang, Xin, Zhiming Zheng, and Feng Fu. "Steering eco-evolutionary game dynamics with manifold control." Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 476, no. 2233 (January 2020): 20190643. http://dx.doi.org/10.1098/rspa.2019.0643.

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Feedback loops between population dynamics of individuals and their ecological environment are ubiquitously found in nature and have shown profound effects on the resulting eco-evolutionary dynamics. By incorporating linear environmental feedback law into the replicator dynamics of two-player games, recent theoretical studies have shed light on understanding the oscillating dynamics of the social dilemma. However, the detailed effects of more general nonlinear feedback loops in multi-player games, which are more common especially in microbial systems, remain unclear. Here, we focus on ecological public goods games with environmental feedbacks driven by a nonlinear selection gradient. Unlike previous models, multiple segments of stable and unstable equilibrium manifolds can emerge from the population dynamical systems. We find that a larger relative asymmetrical feedback speed for group interactions centred on cooperators not only accelerates the convergence of stable manifolds but also increases the attraction basin of these stable manifolds. Furthermore, our work offers an innovative manifold control approach: by designing appropriate switching control laws, we are able to steer the eco-evolutionary dynamics to any desired population state. Our mathematical framework is an important generalization and complement to coevolutionary game dynamics, and also fills the theoretical gap in guiding the widespread problem of population state control in microbial experiments.
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Byrne, Michael P., and Tapio Schneider. "Atmospheric Dynamics Feedback: Concept, Simulations, and Climate Implications." Journal of Climate 31, no. 8 (March 26, 2018): 3249–64. http://dx.doi.org/10.1175/jcli-d-17-0470.1.

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AbstractThe regional climate response to radiative forcing is largely controlled by changes in the atmospheric circulation. It has been suggested that global climate sensitivity also depends on the circulation response, an effect called the “atmospheric dynamics feedback.” Using a technique to isolate the influence of changes in atmospheric circulation on top-of-the-atmosphere radiation, the authors calculate the atmospheric dynamics feedback in coupled climate models. Large-scale circulation changes contribute substantially to all-sky and cloud feedbacks in the tropics but are relatively less important at higher latitudes. Globally averaged, the atmospheric dynamics feedback is positive and amplifies the near-surface temperature response to climate change by an average of 8% in simulations with coupled models. A constraint related to the atmospheric mass budget results in the dynamics feedback being small on large scales relative to feedbacks associated with thermodynamic processes. Idealized-forcing simulations suggest that circulation changes at high latitudes are potentially more effective at influencing global temperature than circulation changes at low latitudes, and the implications for past and future climate change are discussed.
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Song, Tingting, Yiyuan Xie, Yichen Ye, Bocheng Liu, Junxiong Chai, Xiao Jiang, and Yanli Zheng. "Numerical Analysis of Nonlinear Dynamics Based on Spin-VCSELs with Optical Feedback." Photonics 8, no. 1 (January 4, 2021): 10. http://dx.doi.org/10.3390/photonics8010010.

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In this paper, the nonlinear dynamics of a novel model based on optically pumped spin-polarized vertical-cavity surface-emitting lasers (spin-VCSELs) with optical feedback is investigated numerically. Due to optical feedback being the external disturbance component, the complex nonlinear dynamical behaviors can be enhanced and the regions of different nonlinear dynamics in size can be extended with appropriate parameters of spin-VCSELs. According to the equations of the modified spin-flip model (SFM), the comparison of bifurcation diagrams is first presented for the clear presentation of different routes to chaos. Meanwhile, numerous bifurcation diagrams in color are illustrated to demonstrate the rich dynamical regimes intuitively, and the crucial effects of optical feedback strength, feedback delay, linewidth enhancement factor, and spin-flip relaxation rate on the region evolvement of complex dynamics of the proposed model are revealed to investigate the dependence of dynamical behaviors on external and internal parameters when the optical feedback scheme is introduced. These parameters play a remarkable role in enhancing the mechanism of complex dynamic oscillations. Furthermore, utilizing combination with time series, power spectra, and phase portraits, the various dynamical behaviors observed in the bifurcation diagram are simulated numerically. Correspondingly, the powerful measure 0–1 test is employed to distinguish between chaos and non-chaos.
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Zhang, Li Nan, Shu Xin Wang, Jian Min Li, and Jin Hua Li. "Design of a Master Manipulator with Dynamical Simplification for Master-Slave Robot." Applied Mechanics and Materials 418 (September 2013): 3–9. http://dx.doi.org/10.4028/www.scientific.net/amm.418.3.

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Dynamic behavior is an important factor to affect the performance of surgical robot, especially force-feedback master manipulator. In this paper, a force-feedback master manipulator with parallelogram is developed, which can realize self-gravity balance; Compare the dynamics of the force-feedback master manipulator with parallelogram mechanism and another one without parallelogram mechanism. The result shows that the dynamical equation of the master manipulator with parallelogram mechanism is simpler than the one without parallelogram mechanism. This parallelogram mechanism can be generally used in all the mechanical design that is needed to simplify the dynamics.
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Delire, Christine, Nathalie de Noblet-Ducoudré, Adriana Sima, and Isabelle Gouirand. "Vegetation Dynamics Enhancing Long-Term Climate Variability Confirmed by Two Models." Journal of Climate 24, no. 9 (May 1, 2011): 2238–57. http://dx.doi.org/10.1175/2010jcli3664.1.

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Abstract Two different coupled climate–vegetation models, the Community Climate Model version 3 coupled to the Integrated Biosphere Simulator (CCM3–IBIS) and the Laboratoire de Météorologie Dynamique’s climate model coupled to the Organizing Carbon and Hydrology in Dynamic Ecosystems model (LMDz–ORCHIDEE), are used to study the effects of vegetation dynamics on climate variability. Two sets of simulations of the preindustrial climate are performed using fixed climatological sea surface temperatures: one set taking into account vegetation cover dynamics and the other keeping the vegetation cover fixed. Spectral analysis of the simulated precipitation and temperature over land shows that for both models the interactions between vegetation dynamics and the atmosphere enhance the low-frequency variability of the biosphere–atmosphere system at time scales ranging from a few years to a century. Despite differences in the magnitude of the signal between the two models, this confirms that vegetation dynamics introduces a long-term memory into the climate system by slowly modifying the physical characteristics of the land surface (albedo, roughness evapotranspiration). Unrealistic modeled feedbacks between the vegetation and the atmosphere would cast doubts on this result. The simulated feedback processes in the models used in this work are compared to the observed using a recently developed statistical approach. The models simulate feedbacks of the right sign and order of magnitude over large regions of the globe: positive temperature feedback in the mid- to high latitudes, negative feedback in semiarid regions, and positive precipitation feedback in semiarid regions. The models disagree in the tropics, where there is no statistical significance in the observations. The realistic modeled vegetation–atmosphere feedback gives us confidence that the vegetation dynamics enhancement of the long-term climate variability is not a model artifact.
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Wang, Xiang-Hui, Zheng-Mao Wu, Zai-Fu Jiang, and Guang-Qiong Xia. "Nonlinear Dynamics of Two-State Quantum Dot Lasers under Optical Feedback." Photonics 8, no. 8 (July 27, 2021): 300. http://dx.doi.org/10.3390/photonics8080300.

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A modified rate equation model was presented to theoretically investigate the nonlinear dynamics of solitary two-state quantum dot lasers (TSQDLs) under optical feedback. The simulated results showed that, for a TSQDL biased at a relatively high current, the ground-state (GS) and excited-state (ES) lasing of the TSQDL can be stimulated simultaneously. After introducing optical feedback, both GS lasing and ES lasing can exhibit rich nonlinear dynamic states including steady state (S), period one (P1), period two (P2), multi-period (MP), and chaotic (C) state under different feedback strength and phase offset, respectively, and the dynamic states for the two lasing types are always identical. Furthermore, the influences of the linewidth enhancement factor (LEF) on the nonlinear dynamical state distribution of TSQDLs in the parameter space of feedback strength and phase offset were also analyzed. For a TSQDL with a larger LEF, much more dynamical states can be observed, and the parameter regions for two lasing types operating at chaotic state are widened after introducing optical feedback.
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Sejas, Sergio A., Ming Cai, Aixue Hu, Gerald A. Meehl, Warren Washington, and Patrick C. Taylor. "Individual Feedback Contributions to the Seasonality of Surface Warming." Journal of Climate 27, no. 14 (July 10, 2014): 5653–69. http://dx.doi.org/10.1175/jcli-d-13-00658.1.

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Abstract Using the climate feedback response analysis method, the authors examine the individual contributions of the CO2 radiative forcing and climate feedbacks to the magnitude, spatial pattern, and seasonality of the transient surface warming response in a 1% yr−1 CO2 increase simulation of the NCAR Community Climate System Model, version 4 (CCSM4). The CO2 forcing and water vapor feedback warm the surface everywhere throughout the year. The tropical warming is predominantly caused by the CO2 forcing and water vapor feedback, while the evaporation feedback reduces the warming. Most feedbacks exhibit noticeable seasonal variations; however, their net effect has little seasonal variation due to compensating effects, which keeps the tropical warming relatively invariant all year long. The polar warming has a pronounced seasonal cycle, with maximum warming in fall/winter and minimum warming in summer. In summer, the large cancelations between the shortwave and longwave cloud feedbacks and between the surface albedo feedback warming and the cooling from the ocean heat storage/dynamics feedback lead to a warming minimum. In polar winter, surface albedo and shortwave cloud feedbacks are nearly absent due to a lack of insolation. However, the ocean heat storage feedback relays the polar warming due to the surface albedo feedback from summer to winter, and the longwave cloud feedback warms the polar surface. Therefore, the seasonal variations in the cloud feedback, surface albedo feedback, and ocean heat storage/dynamics feedback, directly caused by the strong annual cycle of insolation, contribute primarily to the large seasonal variation of polar warming. Furthermore, the CO2 forcing and water vapor and atmospheric dynamics feedbacks add to the maximum polar warming in fall/winter.
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Dissertations / Theses on the topic "Feedback dynamics"

1

Tsang, Chi Foon. "Dynamics of distributed feedback lasers." Thesis, University of Cambridge, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.320037.

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Graybill, Scott Jason. "Modelling nephron dynamics and tubuloglomerular feedback." Thesis, University of Canterbury. Centre for Bioengineering, 2010. http://hdl.handle.net/10092/4116.

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The kidneys are amazingly versatile organs that perform a wide range of vital bodily functions. This thesis provides an analysis into a range of mathematical models of the tubuloglomerular feedback (TGF) mechanism. The TGF mechanism is an autoregulatory mechanism unique to the kidney that maintains approximately constant blood flow to the organ despite wide fluctuations in pressure. Oscillations in pressure, flow, and sodium chloride concentration have been attributed to the action of the TGF mechanism through a number of experimental studies. These oscillations appear spontaneously or in response to a natural or artificial pressure step or microperfusion. The reason for sustained oscillatory behaviour in nephrons is not immediately clear. Significant research has gone into experimentally determining the signal to the TGF mechanism, but the physiological significance is not mentioned in the literature. Considerable modelling of the oscillations attributed to the TGF mechanism has also been undertaken. However, this modelling uses models that are inherently oscillatory, such as a second-order differential equation or delay differential equations. While these models can be fitted to closely approximate the experimental results they do not address the physiological factors that contribute to sustained oscillations. This thesis aims to determine the contributing factors to the sustained oscillations. By understanding these factors a better hypothesis of the physiological role of the oscillations should be possible. Chapter 3 presents a mathematical model by Holstein-Rathlou and Marsh [28] that uses a partial differential equation (PDE) model for the tubule and a second-order differential equation for the TGF feedback. The remainder of this chapter shows that oscillations occur without an inherently oscillatory second-order differential equation due to the delays in the system. Tubular compliance was also shown to be necessary for sustained oscillations. Sustained oscillations were not exhibited in the TGF model with a noncompliant tubule. Although damped oscillations were exhibited for a wide range of parameter space. Adding compliance to the tubule increased the delay around the loop of Henle. This additional delay elicited sustained oscillations. The computationally expensive PDE model of 3 was simplified to an ordinary differential equation (ODE) model in Chapter 4 by assuming a spatial profile. This model exhibits much of the same qualitative behaviour as the PDE model including sustained oscillations for similar ranges of parameter space. Compliance was also found to be important in the generation of sustained oscillations in agreement with the PDE tubule model. This model is less computationally expensive than the PDE model and allows analysis that was unfeasible with the PDE model. Significant natural and artificial blood pressure fluctuation occur in experimental rat models. Chapter 5 examines the effect of inlet pressure forcing on a nonoscillatory and an oscillatory model. The inherently nonoscillatory noncompliant model becomes oscillatory with a physiologically realistic pressure forcing. The oscillatory compliant model remains oscillatory with the addition of a inlet pressure forcing. Pressure fluctuations were hypothesised to contribute to sustained oscillations and could be validated experimentally. Two extensions to the single nephron TGF models are presented in Chapter 6. A realistic juxtaglomerular delay is added to the single nephron models with both the ODE and PDE tubular models. Physiologically realistic juxtaglomerular delays induce sustained oscillations in the otherwise nonoscillatory noncompliant models. The remainder of this chapter presents a different model for a variable interstitial sodium chloride concentration profile. This model demonstrates experimentally observed function of the countercurrent mechanism by which a concentration gradient is set up and maintained in the interstitium. Two single nephron models with ODE tubular models are coupled in Chapter 7. The coupling is modelled through the effect on the resistance of their neighbouring nephron's afferent arteriole resistance. The coupled nephron model exhibits entrainment as observed experimentally. Inhibiting the oscillation in one nephron reduces the amplitude of the oscillation in its neighbour. This result compares well with experiments where the TGF mechanism in one nephron is blocked by the administration of furosemide.
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Longo, Diane Marie. "The role of feedback in signaling dynamics." Diss., [La Jolla] : University of California, San Diego, 2009. http://wwwlib.umi.com/cr/ucsd/fullcit?p3356134.

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Thesis (Ph. D.)--University of California, San Diego, 2009.
Title from first page of PDF file (viewed June 15, 2009). Available via ProQuest Digital Dissertations. Vita. Includes bibliographical references (p. 99-107).
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Bhatia, Abhishek. "Multivariable Feedback Control of Unstable Aircraft Dynamics." University of Cincinnati / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1479809412341377.

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Pearson, Richard John. "Mass estimation, dynamics and feedback in galaxy groups." Thesis, University of Birmingham, 2015. http://etheses.bham.ac.uk//id/eprint/5676/.

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Accurate mass estimates for galaxy groups and clusters are important for understanding the evolution of matter within the universe. In this thesis we first discuss methods of mass estimation currently used within the literature, and introduce a set of scaling relations for mass estimation in cases where literature methods are not applicable. We find that methods based on group richness provide the best (i.e. lowest scatter) mass estimator. Secondly, we study the impact of feedback on hot group gas for a sample of optically selected groups. We refine the group selection using their dynamical state, identified through substructure in the distribution of member galaxies. We find this sample to be underluminous compared to an X-ray selected sample. Furthermore, with two groups showing high 2σ lower limits on entropy, the population of high entropy groups predicted by hydrodynamical simulations may have been detected. Finally, we combine measures of dynamical state and mass estimation scaling relations to understand how the presence of substructure can impact upon the ability to reliably estimate group and cluster masses. We find that substructure introduced through poor group identification has the largest effect on the quality of the final mass estimates.
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Lu, Timothy K. (Timothy Kuan-Ta) 1981. "A feedback analysis of outer hair cell dynamics." Thesis, Massachusetts Institute of Technology, 2003. http://hdl.handle.net/1721.1/29677.

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Thesis (M.Eng. and S.B.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2003.
Includes bibliographical references (leaves 144-146).
Outer hair cells (OHCs) generate active forces in the mammalian cochlea. Acting as cochlear amplifiers, OHCs can counteract viscous drag, generating high gain at characteristic frequencies and allowing for the sharp frequency selectivity and sensitivity observed in mammals. Excitatory displacement of the basilar membrane causes depolarization of OHC membrane potentials which results in contraction. The motor protein prestin is driven by receptor potentials. However, low-pass filtering by the plasma membrane should severely attenuate the receptor potential at high frequencies (> 100 kHz) where mammalian hearing has been observed. Thus, an open question is how OHCs can respond at these high frequencies despite their low frequency cutoff. Inspired by the use of feedback in mechanical and electrical systems to accelerate slow poles, I demonstrate that negative feedback from the coupling of two mechanical modes of vibration can lead to a membrane time constant speedup and a sharpening of the mechanical response.
y Timothy K. Lu.
M.Eng.and S.B.
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Bauer, Stefan. "Nonlinear dynamics of semiconductor lasers with active optical feedback." Doctoral thesis, [S.l.] : [s.n.], 2004. http://deposit.ddb.de/cgi-bin/dokserv?idn=973616423.

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Boulet, Jason. "The Effects of Delayed Visual Feedback on Postural Dynamics." Thesis, University of Ottawa (Canada), 2010. http://hdl.handle.net/10393/28594.

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We report on experiments and modeling of the interactions between delayed visual feedback and postural control in human quiet stance. A heuristic model is derived based on physiological and psychophysical parameters. The level of agreement found between the data and the model was found to be very good for power spectral densities, probability density functions and mean-squared displacements (or Hurst exponents). The stochastic delayed differential model identifies critical time scales of postural corrections. We also investigate properties of the model such as stability, small delay approximations and the power spectral density. Lastly, we use nonlinear time series techniques to investigate the temporal structure of the experimental postural dynamics. We propose the first dynamical model of visually assisted posture control.
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Rosino, Jeffery. "AUTONOMOUS ROBOTIC AUTOMATION SYSTEMWITH VISION FEEDBACK." Master's thesis, University of Central Florida, 2004. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/2645.

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In this thesis, a full design, development and application of an autonomous robotic automation system using vision feedback is performed. To realize this system, a cylindrical manipulator configuration is implemented, using a personal computer (PC) based PID controller from National Instruments. Full autonomous control will be achieved via a programmable human machine interface (HMI) developed on a PC using Borland C++ Builder. The vision feedback position control is accomplished using an ordinary "off-the-shelf" web camera. The manuscript is organized as follows; After Chapter 1, an introduction to automation history and its role in the manufacturing industry, Chapter 2 discusses and outlines the development of the robotic kinematics and dynamics of the system. A control strategy is also developed and simulated in this chapter. Chapter 3 discusses color image processing and shows the development of the algorithm used for the vision feedback position control. Chapter 4 outlines the system development, which includes the hardware and software. Chapter 5 concludes with a summary, and improvement section. The process used as a basis for the design and development of this thesis of this thesis topic was constructed from a manual capacitor orientation check test station. A more detailed definition and objective is presented in the introduction.
M.S.E.E.
Department of Electrical and Computer Engineering
Engineering and Computer Science
Electrical Engineering
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Neugebauer, Felix Sebastian. "Tayloring Brazil: a system dynamics model for monetary policy feedback." reponame:Repositório Institucional do FGV, 2011. http://hdl.handle.net/10438/9098.

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Submitted by Felix Sebastian Neugebauer (fexgebauer@gmail.com) on 2012-01-20T06:47:16Z No. of bitstreams: 1 Dissertacao MPGI - Felix Neugebauer.pdf: 917872 bytes, checksum: 216f642b7bdd46aac088024cf0610158 (MD5)
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The thesis introduces a system dynamics Taylor rule model of new Keynesian nature for monetary policy feedback in Brazil. The nonlinear Taylor rule for interest rate changes con-siders gaps and dynamics of GDP growth and inflation. The model closely tracks the 2004 to 2011 business cycle and outlines the endogenous feedback between the real interest rate, GDP growth and inflation. The model identifies a high degree of endogenous feedback for monetary policy and inflation, while GDP growth remains highly exposed to exogenous eco-nomic conditions. The results also show that the majority of the monetary policy moves during the sample period was related to GDP growth, despite higher coefficients of inflation parameters in the Taylor rule. This observation challenges the intuition that inflation target-ing leads to a dominance of monetary policy moves with respect to inflation. Furthermore, the results suggest that backward looking price-setting with respect to GDP growth has been the dominant driver of inflation. Moreover, simulation exercises highlight the effects of the new BCB strategy initiated in August 2011 and also consider recession and inflation avoid-ance versions of the Taylor rule. In methodological terms, the Taylor rule model highlights the advantages of system dynamics with respect to nonlinear policies and to the stock-and-flow approach. In total, the strong historical fit and some counterintuitive observations of the Taylor rule model call for an application of the model to other economies.
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Books on the topic "Feedback dynamics"

1

Agliardi, Elettra. Positive feedback economies. New York: St. Martin's Press, 1998.

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Control system dynamics. Cambridge: Cambridge University Press, 1996.

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Bose, Chinmoy K. Role of nonlinear dynamics in endocrine feedback. Hauppauge, NY: Nova Science Publishers, 2009.

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1938-, Powell J. David, and Emami-Naeini Abbas, eds. Feedback control of dynamic systems. 3rd ed. Reading, Mass: Addison-Wesley, 1994.

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Franklin, Gene F. Feedback control of dynamic systems. 6th ed. Upper Saddle River, NJ: Pearson Prentice Hall, 2009.

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1938-, Powell J. David, and Emami-Naeini Abbas, eds. Feedback control of dynamic systems. 4th ed. Upper Saddle River, N.J: Prentice Hall, 2002.

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1938-, Powell J. David, and Emami-Naeini Abbas, eds. Feedback control of dynamic systems. 4th ed. Upper Saddle River, NJ: Prentice Hall, 2002.

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David, Powell J., and Emami-Naeini Abbas, eds. Feedback control of dynamic systems. 3rd ed. Massachusetts: Addison-Wesley, 1994.

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1938-, Powell J. David, and Emami-Naeini Abbas, eds. Feedback control of dynamic systems. Reading, Mass: Addison-Wesley, 1986.

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1938-, Powell J. David, and Emami-Naeini Abbas, eds. Feedback control of dynamic systems. 2nd ed. Reading, Mass: Addison-Wesley, 1991.

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Book chapters on the topic "Feedback dynamics"

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Wolstenholme, Eric, and Douglas McKelvie. "Feedback Dynamics." In The Dynamics of Care, 89–105. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-21878-2_5.

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Uehara, Takuro, Yoko Nagase, and Wayne Wakeland. "System Dynamics Modeling of Ecological–Economic Systems." In Feedback Economics, 285–310. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-67190-7_11.

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Arthur, Daniel J. W. "Comparison of System Dynamics Calibration and Econometric Estimation." In Feedback Economics, 163–89. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-67190-7_7.

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Ryder, William H., and Robert Y. Cavana. "A System Dynamics Translation of the Phillips Machine." In Feedback Economics, 97–134. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-67190-7_5.

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Yamaguchi, Kaoru, and Yokei Yamaguchi. "Accounting System Dynamics Modeling of Money Stock as Debts." In Feedback Economics, 69–95. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-67190-7_4.

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Hong, Keum-Shik, and Umer Hameed Shah. "Feedback Control." In Dynamics and Control of Industrial Cranes, 115–41. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-5770-1_7.

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Agliardi, Elettra. "Self-Reinforcing Mechanisms and Complex Economic Dynamics." In Positive Feedback Economies, 5–20. London: Palgrave Macmillan UK, 1998. http://dx.doi.org/10.1057/9780230376212_2.

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Robinett, Rush D., Clark R. Dohrmann, G. Richard Eisler, John T. Feddema, Gordon G. Parker, David G. Wilson, and Dennis Stokes. "Linear Feedback Control." In Flexible Robot Dynamics and Controls, 233–75. Boston, MA: Springer US, 2002. http://dx.doi.org/10.1007/978-1-4615-0539-6_6.

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Medina, Pablo Koch. "Feedback Stabilizability of Time-Periodic Parabolic Equations." In Dynamics Reported, 26–98. Berlin, Heidelberg: Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/978-3-642-79931-0_2.

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Boyarskaya, Tatiana. "Use of System Dynamics for Macro-Financial Scenario Assessment: Debt and Currency Crises in Russia." In Feedback Economics, 377–99. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-67190-7_14.

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Conference papers on the topic "Feedback dynamics"

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Pedersen, F. "Feedback systems." In Beam dynamics issues of high luminosity asymmetric collider rings. AIP, 1990. http://dx.doi.org/10.1063/1.39774.

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Trimper, Steffen. "Feedback Coupling and Chemical Reactions." In SLOW DYNAMICS IN COMPLEX SYSTEMS: 3rd International Symposium on Slow Dynamics in Complex Systems. AIP, 2004. http://dx.doi.org/10.1063/1.1764187.

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VADALI, S. "Feedback control of tethered satellites using Liapunov stability theory." In Dynamics Specialists Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1990. http://dx.doi.org/10.2514/6.1990-1197.

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JUNKINS, JOHN. "A minimum sensitivity design method for output feedback controllers." In Dynamics Specialists Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1990. http://dx.doi.org/10.2514/6.1990-1206.

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Guo, Yi, and Zhihua Qu. "Feedback Control of Frictional Dynamics." In Proceedings of the 45th IEEE Conference on Decision and Control. IEEE, 2006. http://dx.doi.org/10.1109/cdc.2006.377107.

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ALLAHVERDYAN, A. E., and G. MAHLER. "FEEDBACK-DRIVEN ADIABATIC QUANTUM DYNAMICS." In Modern Optics and Photonics — Atoms and Structured Media - The International Advanced Research Workshop. WORLD SCIENTIFIC, 2010. http://dx.doi.org/10.1142/9789814313278_0008.

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Mazenc, Frederic, Sungpil Yang, and Maruthi R. Akella. "Output feedback, attitude dynamics, robustness." In 2015 European Control Conference (ECC). IEEE, 2015. http://dx.doi.org/10.1109/ecc.2015.7330711.

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Theverapperuma, Lalin S., and Jon S. Kindred. "Continuous Adaptive Feedback Canceller Dynamics." In 2006 49th IEEE International Midwest Symposium on Circuits and Systems. IEEE, 2006. http://dx.doi.org/10.1109/mwscas.2006.382136.

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Koumoutsakos, Petros, Thomas Bewley, Edward Hammond, Parviz Moin, Petros Koumoutsakos, Thomas Bewley, Edward Hammond, and Parviz Moin. "Feedback algorithms for turbulence control - Some recent developments." In 28th Fluid Dynamics Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1997. http://dx.doi.org/10.2514/6.1997-2008.

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MCFARLAND, D., and LAWRENCEA BERGMAN. "Eigenstructure assignment for a continuous elastic system by point displacement feedback." In Dynamics Specialists Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1992. http://dx.doi.org/10.2514/6.1992-2114.

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Reports on the topic "Feedback dynamics"

1

Cutler, David, James Poterba, and Lawrence Summers. Speculative Dynamics and the Role of Feedback Traders. Cambridge, MA: National Bureau of Economic Research, January 1990. http://dx.doi.org/10.3386/w3243.

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Kokotovic, Peter V. Nonlinear System Design: Adaptive Feedback Linearization with Unmodeled Dynamics. Fort Belvoir, VA: Defense Technical Information Center, September 1991. http://dx.doi.org/10.21236/ada248484.

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Kokotovic, Petar V. Nonlinear System Design: Adaptive Feedback Linearization with Unmodeled Dynamics. Fort Belvoir, VA: Defense Technical Information Center, December 1992. http://dx.doi.org/10.21236/ada261360.

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CARNEGIE-MELLON UNIV PITTSBURGH PA. Non-Linear Dynamics and Chaotic Motions in Feedback Controlled Elastic System. Fort Belvoir, VA: Defense Technical Information Center, January 1988. http://dx.doi.org/10.21236/ada208628.

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Petrov, Plamen. Dynamics and Feedback Path Control of a Skid-steered Wheeled Mobile Robot. "Prof. Marin Drinov" Publishing House of Bulgarian Academy of Sciences, July 2019. http://dx.doi.org/10.7546/crabs.2019.07.14.

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Fox, John D. Multi-Bunch Longitudinal Dynamics and Diagnostics via a Digital Feedback System at PEP-II, DAFNE, ALS and SPEAR. Office of Scientific and Technical Information (OSTI), April 1999. http://dx.doi.org/10.2172/10206.

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Banks, H. T. Modeling, Inverse Problems and Feedback Control for Distributed Dynamical Systems. Fort Belvoir, VA: Defense Technical Information Center, November 2000. http://dx.doi.org/10.21236/ada387505.

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Gentile, Ann C., James M. Brandt, Thomas Tucker, and David Thompson. Develop feedback system for intelligent dynamic resource allocation to improve application performance. Office of Scientific and Technical Information (OSTI), September 2011. http://dx.doi.org/10.2172/1029818.

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Seryi, Andrei. EFFECTS OF DYNAMIC MISALIGNMENTS AND FEEDBACK PERFORMANCE ON LUMINOSITY STABILITY IN LINEAR COLLIDERS. Office of Scientific and Technical Information (OSTI), May 2003. http://dx.doi.org/10.2172/813162.

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Chaplin, Harvey R. Some Dynamic Properties of a Rigid Two-Bladed Fully Gimballed Rotor with Teetering Feedback. Fort Belvoir, VA: Defense Technical Information Center, July 1986. http://dx.doi.org/10.21236/ada194946.

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