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Dissertations / Theses on the topic 'Output uncertainty'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Varela, Gonzalo. "Exchange rate expectations, uncertainty and output in the Southern Cone." Thesis, University of Sussex, 2011. http://sro.sussex.ac.uk/id/eprint/7345/.

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In this thesis we investigate the effects of real exchange rate (RER) uncertainty on output in the context of Southern Cone economies. The first chapter provides a framework to analyze the output effects of RER uncertainty when firms contract dollar-debt and no hedging instruments are available, by focusing on the channel uncertainty-output operating through the firms financial strategy. An increase in uncertainty increases the probability of bankruptcy, raising expected marginal bankruptcy costs, and reducing optimal output of a risk-neutral firm. We find the output response to uncertainty sh

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2

Triantafyllidis, Vasileios. "High-dimensional-output surrogate models for uncertainty and sensitivity analyses." Thesis, University of Warwick, 2018. http://wrap.warwick.ac.uk/114588/.

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Computational models that describe complex physical phenomena tend to be computationally expensive and time consuming. Partial differential equation (PDE) based models in particular produce spatio-temporal data sets in high dimensional output spaces. Repeated calls of computer models to perform tasks such as sensitivity analysis, uncertainty quantification and design optimization can become computationally infeasible as a result. While constructing an emulator is one solution to approximate the outcome of expensive computer models, it is not always capable of dealing with high-dimensional data

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3

PARNES, ILAN SAMPAIO. "UNCERTAINTY MEASURES AND THEIR IMPACTS ON FORECASTING THE BRAZILIAN OUTPUT GAP." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2018. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=35932@1.

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A incerteza é um fator relevante na modelagem de variáveis macroeconômi-cas, especialmente em países emergentes. Neste estudo, tentamos entender se me-didas de incerteza oriundas do mercado brasileiro podem melhorar as projeções de PIB do país. Traçando uma curva IS da forma mais simples possível: relacionando o hiato do produto a suas primeiras defasagens e aos juros reais ex-ante, podemos adicionar medidas de incerteza e atestar se estas melhoram as projeções de hiato realizadas para o período imediatamente subsequente. Como medidas de incerte-za, utilizamos a dispersão de expectativas do bo

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4

Abeng, Magnus O. "Oil price uncertainty, sectoral stock returns and output growth in Nigeria." Thesis, University of Surrey, 2018. http://epubs.surrey.ac.uk/845835/.

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This thesis examines the influence of oil price uncertainty shocks on sector stock return uncertainties and real output and provides new insights on how oil price uncertainty impulses are transmitted to the Nigerian macroeconomy. Five industry sectors namely banking, oil and gas, insurance, food beverages and tobacco, and consumer goods are investigated. The major contributions of this thesis include the decomposition of the effect of oil price change into sector stocks, application of second moment analysis, utilisation of high frequency micro-data and adoption of more than one econometric me

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5

Chiang, Derek Mi-Hsiu. "Contingent claims analysis to irreversible, non-tradable output investment problems under uncertainty." Thesis, Imperial College London, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.312138.

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6

Vidal, Codina Ferran. "A reduced-basis method for input-output uncertainty propagation in stochastic PDEs." Thesis, Massachusetts Institute of Technology, 2013. http://hdl.handle.net/1721.1/82417.

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Thesis (S.M.)--Massachusetts Institute of Technology, Computation for Design and Optimization Program, 2013.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 123-132).<br>Recently there has been a growing interest in quantifying the effects of random inputs in the solution of partial differential equations that arise in a number of areas, including fluid mechanics, elasticity, and wave theory to describe phenomena such as turbulence, random vibrations, flow through porous media, and wave propagation through random media. Monte-Carlo based sampling methods, ge

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7

Alliwa, Maher. "Modelling inflation, output growth and their uncertainties." Thesis, Brunel University, 2016. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.707765.

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This thesis consists of three studies that cover topics in inflation and output growth, and their uncertainties in G7 and developing countries. We utilise the Consumer Price Index (CPI) and Industrial Price Index (IPI) as proxies for the inflation rate (price level) and the growth rate (output), respectively. Chapter 2 considers the case of three developing countries Turkey, Egypt and Syria. We analyse the inflation and growth using asymmetric PGARCH model. In accordance with this, we estimate all the models using two alternative distributions the normal and Student’s t. Moreover, dummy variab

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8

Dockendorf, Jörg. "Real rainbow options in commodity applications : valuing multi-factor output options under uncertainty." Thesis, University of Manchester, 2011. https://www.research.manchester.ac.uk/portal/en/theses/real-rainbow-options-in-commodity-applications-valuing-multifactor-output-options-under-uncertainty(ab6302c7-326c-42ac-a1bb-24e1fbf08942).html.

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This thesis focuses on the valuation of real options when there is flexibility given by the choice between two risky outputs. We develop models to value these rainbow options and to determine optimal operating and investment policies. These models are studied in the context of commodity applications because output flexibility is particularly relevant in volatile commodity markets. We provide insights into the behaviour and sensitivities of option values and operating policies and discuss implications for decision-making.In the early stages of real options theory, research centred on basic opti

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9

Akhtar, Rehman. "Risk-Based Input-Output Modeling and Uncertainty Analysis of Hurricane Impacts on Interdependent Regional Workforce Systems." Thesis, The George Washington University, 2014. http://pqdtopen.proquest.com/#viewpdf?dispub=3615694.

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<p> Hurricanes have the potential to damage critical infrastructure systems, disrupt workforce and commodity flows, and can cause adverse socioeconomic impacts on the affected regions. Workforce disruptions in the aftermath of a hurricane can degrade regional productivity because the majority of business operations are labor-dependent. Furthermore, the recovery process is further exacerbated by the inherent interdependencies among economic sectors, which give rise to direct and indirect economic losses in the affected regional economy. This dissertation research extends the economic input-outp

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10

Clausen, Jens R. "Paradigm Uncertainty in the Conduct of Monetary Policy : the Role of Monetary Aggregates and the Output Gap /." Aachen : Shaker, 2004. http://www.gbv.de/dms/zbw/389232394.pdf.

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11

Kloudová, Dana. "Lze považovat produkční mezeru za vhodný ukazatel inflace?" Master's thesis, Vysoká škola ekonomická v Praze, 2011. http://www.nusl.cz/ntk/nusl-73000.

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Output gap belongs to standard indicators of inflationary pressures used in central banks. The aim of this paper is to find the answer to the question, whether we can consider output gap as a suitable indicator of inflation for the Czech economy. First hypothesis, which we analysed is that we can estimate output gap only with uncertainty. For confirmation or refutation of this hypothesis we used ten models of estimation of output gap. The second hypothesis is that output gap can be used as suitable indicator of inflation. For testing of this hypothesis we chose gap model from Coe, McDetmott (1

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12

Clausen, Jens R. [Verfasser]. "Paradigm Uncertainty in the Conduct of Monetary Policy : The Role of Monetary Aggregates and the Output Gap / Jens R Clausen." Aachen : Shaker, 2004. http://d-nb.info/1170532055/34.

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13

Tamssaouet, Ferhat. "Towards system-level prognostics : modeling, uncertainty propagation and system remaining useful life prediction." Thesis, Toulouse, INPT, 2020. http://www.theses.fr/2020INPT0079.

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Le pronostic est le processus de prédiction de la durée de vie résiduelle utile (RUL) des composants, sous-systèmes ou systèmes. Cependant, jusqu'à présent, le pronostic a souvent été abordé au niveau composant sans tenir compte des interactions entre les composants et l'impact de l'environnement, ce qui peut conduire à une mauvaise prédiction du temps de défaillance dans des systèmes complexes. Dans ce travail, une approche de pronostic au niveau du système est proposée. Cette approche est basée sur un nouveau cadre de modélisation : le modèle d'inopérabilité entrée-sortie (IIM), qui permet d

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14

Šenkýř, Michal. "Aspekty spolehlivosti při posuzování shody výrobků." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2008. http://www.nusl.cz/ntk/nusl-228227.

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The diploma thesis deals with stating the aspects of reliability in product compatibility evaluation, namely with stating result uncertainty in product parameters testing and diagnosis which are imperative for introduction of the product to the market. The practical part of the thesis focuses on stating selected uncertainty in warm-water boilers testing, especially in gas fueled boilers with rated thermal input of max. 70 kW.

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15

Cho, Hyunkyoo. "Efficient variable screening method and confidence-based method for reliability-based design optimization." Diss., University of Iowa, 2014. https://ir.uiowa.edu/etd/4594.

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The objectives of this study are (1) to develop an efficient variable screening method for reliability-based design optimization (RBDO) and (2) to develop a new RBDO method incorporated with the confidence level for limited input data problems. The current research effort involves: (1) development of a partial output variance concept for variable screening; (2) development of an effective variable screening sequence; (3) development of estimation method for a confidence level of a reliability output; and (4) development of a design sensitivity method for the confidence level. In the RBDO proce

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16

Perrier, Quentin. "Penser la transition énergétique : stratégies robustes aux incertitudes et impacts sur l'emploi." Thesis, Paris, EHESS, 2017. http://www.theses.fr/2017EHES0134/document.

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Dans cette thèse, je discute deux questions autour de la transition énergétique : comment définir une stratégie face aux nombreuses incertitudes et aux inerties des systèmes, et quels sont impacts sur l’emploi de cette transition ?Pour étudier le choix d’une stratégie, je m’intéresse au cas du secteur électrique français. Les réacteurs nucléaires arrivent au terme de leur durée de vie initiale, mais ils peuvent être rénovés moyennant un investissement estimé à 100 milliards d'euros pour l'ensemble du parc. Combien de centrales faut-il rénover ? En mobilisant un modèle d'optimisation et la méth

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17

Sereni, Bruno. "Static output feedback control for LPV and uncertain LTI systems /." Ilha Solteira, 2019. http://hdl.handle.net/11449/180732.

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Orientador: Edvaldo Assunção<br>Resumo: Este trabalho aborda o controle via realimentação estática de saída aplicado à sistemas lineares com parâmetro variante (LPV) e lineares incertos invariantes no tempo (LIT). O projeto de ganhos de realimentação estática de saída apresentado neste trabalho é baseado no método dos dois estágios, o qual consiste em primeiramente obter um ganho de realimentação de estados, e então, utilizar esta informação no segundo estágio para obter-se o ganho de realimentação estática de saída desejado. As soluções para os problemas investigados são apresentadas na forma

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18

Wu, Shang-Teh. "Input/output linearization of uncertain systems with time delay control." Thesis, Massachusetts Institute of Technology, 1993. http://hdl.handle.net/1721.1/12612.

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19

Corrêa, Henrique Luiz. "The links between uncertainty, variability of outputs and flexibility in manufacturing systems." Thesis, University of Warwick, 1992. http://wrap.warwick.ac.uk/35832/.

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This research looks into the relationships between uncertainty, variability and flexibility in manufacturing systems from an operations strategy viewpoint. After reviewing the literature concerning the three categories, 6 research propositions are defined in order to guide the research. A research method (case-studies with semistructured interviews) is then selected and field research which encompassed 8 companies, including the ones of the pilot study is described. The field work resulted in 4 in-depth case studies, performed with Brazilian and British companies (2 in each country), all of th

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20

Haylock, Richard George Edward. "Bayesian inference about outputs of computationally expensive algorithms with uncertainty on the inputs." Thesis, University of Nottingham, 1997. http://eprints.nottingham.ac.uk/13193/.

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In the field of radiation protection, complex computationally expensive algorithms are used to predict radiation doses, to organs in the human body from exposure to internally deposited radionuclides. These algorithms contain many inputs, the true values of which are uncertain. Current methods for assessing the effects of the input uncertainties on the output of the algorithms are based on Monte Carlo analyses, i.e. sampling from subjective prior distributions that represent the uncertainty on each input, evaluating the output of the model and calculating sample statistics. For complex computa

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21

Kim, Kilsoo. "K-modification and a novel approach to output feedback adaptive control." Diss., Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/39579.

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This dissertation presents novel adaptive control laws in both state feedback and output feedback forms. In the setting of state feedback adaptive control K-modification provides a tunable stiffness term that results in a frequency dependent filtering effect, smoother transient responses, and time delay robustness in an adaptive system. K-modification is combined with the recently developed Kalman filter (KF) based adaptive control and derivative-free (DF) adaptive control. K-modification and its combinations with KF adaptive control and DF adaptive control preserve the advantages of each of t

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22

Laosirihongthong, Tawatchai. "Updating judgments of uncertainty in travel demand forecasts with model outputs: Empirical results and analytical implication /." The Ohio State University, 1997. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487946776021626.

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23

Morel, Yannick. "Applied Nonlinear Control of Unmanned Vehicles with Uncertain Dynamics." Diss., Virginia Tech, 2009. http://hdl.handle.net/10919/27426.

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The presented research concerns the control of unmanned vehicles. The results introduced in this dissertation provide a solid control framework for a wide class of nonlinear uncertain systems, with a special emphasis on issues related to implementation, such as control input amplitude and rate saturation, or partial state measurements availability. More specifically, an adaptive control framework, allowing to enforce amplitude and rate saturation of the command, is developed. The motion control component of this framework, which works in conjunction with a saturation algorithm, is then special

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24

Zhao, Qingrong. "Reduced-Order Robust Adaptive Controller Design and Convergence Analysis for Uncertain SISO Linear Systems with Noisy Output Measurements." University of Cincinnati / OhioLINK, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1194564628.

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25

K, C. Bibek. "Impact of a Hybrid Storage Framework Containing Battery and Supercapacitor on Uncertain Output of Wind and Solar Power Systems." OpenSIUC, 2019. https://opensiuc.lib.siu.edu/theses/2618.

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Renewable energy resources (RES) are becoming more popular for electricity generation due to their easy installation, flexibility, low cost, environmental compatibility, etc. However, their fluctuating nature is a major drawback, which decreases the power quality and makes them less trusty in the power system. To mitigate this problem, battery energy storage (BES) has been widely used with renewable energy sources. Because batteries are designed to handle “steady fluctuations” of power, the “sudden and peak” fluctuating power levels of renewable energy sources may cause shorter life spans for

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26

Polston, James D. "DECENTRALIZED ADAPTIVE CONTROL FOR UNCERTAIN LINEAR SYSTEMS: TECHNIQUES WITH LOCAL FULL-STATE FEEDBACK OR LOCAL RELATIVE-DEGREE-ONE OUTPUT FEEDBACK." UKnowledge, 2013. http://uknowledge.uky.edu/me_etds/24.

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This thesis presents decentralized model reference adaptive control techniques for systems with full-state feedback and systems with output feedback. The controllers are strictly decentralized, that is, each local controller uses feedback from only local subsystems and no information is shared between local controllers. The full-state feedback decentralized controller is effective for multi-input systems, where the dynamics matrix and control-input matrix are unknown. The decentralized controller achieves asymptotic stabilization and command following in the presence of sinusoidal disturbances

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27

Kim, Sei Jin. "Three Essays on the Implications of Environmental Policy on Nutrient Outputs in Agricultural Watersheds and the Heterogeneous Global Timber Model with Uncertainty Analysis." The Ohio State University, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=osu1439601683.

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28

Chambon, Emmanuel. "Commande de systèmes linéaires sous contraintes fréquentielles et temporelles : Application au lanceur flexible." Thesis, Toulouse, ISAE, 2016. http://www.theses.fr/2016ESAE0031/document.

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Dans la plupart des problèmes de synthèse, la loi de commande obtenue doit répondre simultanément à des critères réquentiels et temporels en vue de satisfaire un cahier des charges précis. Les derniers développements des techniques de synthèse Hinf de contrôleurs structurés permettent d'obtenir des lois de commande satisfaisant des critères fréquentiels multiples. En revanche, la synthèse de loi de commande satisfaisant une contrainte temporelle sur une sortie ou un état du système est plus complexe. Dans ce travail de thèse, la technique OIST est considérée pour ce type de contraintes. Elle c

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29

Vestin, Albin, and Gustav Strandberg. "Evaluation of Target Tracking Using Multiple Sensors and Non-Causal Algorithms." Thesis, Linköpings universitet, Reglerteknik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-160020.

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Today, the main research field for the automotive industry is to find solutions for active safety. In order to perceive the surrounding environment, tracking nearby traffic objects plays an important role. Validation of the tracking performance is often done in staged traffic scenarios, where additional sensors, mounted on the vehicles, are used to obtain their true positions and velocities. The difficulty of evaluating the tracking performance complicates its development. An alternative approach studied in this thesis, is to record sequences and use non-causal algorithms, such as smoothing, i

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30

Chiu, Chiung-yao, and 邱瓊瑤. "Inflation and Output Growth Uncertainty and Their Relationship with Inflation and Output Growth." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/42003128619103461296.

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碩士<br>南華大學<br>經濟學研究所<br>91<br>The main purpose of this study is to investigate the interrelationships between inflation and output growth and their uncertainty in Taiwan. The empirical analysis follows a two-stage method. A bivariate-GARCH model is used to estimate the conditional variances as proxies for inflation and output growth uncertainty. Through Granger-causality test concludes the relationship between associated variables of interest. 　　　It is found that current and lags of inflation all have significantly positive influence on the inflation uncertainty. An increase in inflation caus

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Li, Yun-Fang, and 李芸芳. "The effects of inflation uncertainty,output uncertainty and exchange uncertainty-the application of multivariate GARCH-M model." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/85752480666546036110.

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碩士<br>國立中央大學<br>產業經濟研究所<br>99<br>This study will explore the effects of output uncertainty,inflation uncertainty and exchange rate uncertainty on output,inflation and exchange rate.We use GARCH to measure uncertainty,and estimate multivariate GARCH in mean model to put the uncertainty into mean equations.There are 190 quarterly datas from 1962 to 2009.The source of the datas is Directorate-General of Budget, Accounting and Statics, Executive Yuan, R.O.C.,and variables are GDP growth rate,wholesale price index,exchange rate and monetary growth rate. The result shows that high output growth

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32

YI, LAI HSIN, and 賴欣憶. "On the Economic Effects of Output Subsidy and Export Tax Rebate under Output Uncertainty." Thesis, 2000. http://ndltd.ncl.edu.tw/handle/05848354310485757306.

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碩士<br>國立彰化師範大學<br>商業教育學系<br>88<br>This thesis is to examine the economic effects of subsidy and export tax rebate under output uncertainty. The major conclusions are as follows: 1. In the presence of subsidy, a firm responds to increased uncertainty by increasing output. A firm confronted with output uncertainty intend to have more output than a firm confronted with certainty. 2. In the presence of export tax rebate, a firm confronted with output uncertainty will decrease output more than a firm confronted will certainty. 3. A rise in output uncertainty will e

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Tseng, Xu-Zhen, and 曾旭偵. "The Effects of the Inflation Uncertainty on Output and Investment." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/xe59vr.

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碩士<br>國立東華大學<br>經濟學系<br>100<br>We use a new model which combines structure vector autoregression model and multivariate GARCH model to analyze the effect of the inflation uncertainty on the output and private sector investment in Taiwan by using WPI, CPI and oil price as the proxy variable for price level. The empirical results are as follows. First, the empirical evidences show that the inflation uncertainty does not have significant effect on output growth. In other words, Friedman hypothesis can’t be supported in Taiwan. Furthermore, inflation uncertainty also has no significant effect on p

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Chiu, Choa-wen, and 邱照文. "The relationship between inflation uncertainty and output among Taiwan data." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/95448584254875835547.

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碩士<br>國立中正大學<br>國際經濟所<br>94<br>This paper examines the relationship between inflation uncertainty and output among Taiwan data. By using the two step OLS approach and bivariate ARCH-M VAR model, we’d like to see the influence of inflation uncertainty on output, whether positive or negative. We find that the two step OLS approach during output process yields positive result of the relationship between inflation uncertainty and output. In addition, using bivariate ARCH-M VAR model to examine the effect of inflation uncertainty on output produces negative consequence.

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Tsai, Li-wei, and 蔡瀝緯. "The Most Suitable Allocate MTO/MTS Output under Product Price Uncertainty." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/s9f8z9.

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碩士<br>國立高雄第一科技大學<br>運籌管理所<br>96<br>Under the economic in a slump, the original material rises unceasingly along with the time. The manufacturers must face in profit squeeze. If the manufactures can adjust MTO/MTS output and use benefit of reprocess semi-product under price unstable situation, it could obtain better competitive advantage. In past literature, hybrid MTO and MTS researches must focus product optimization、order selection optimization et al. However, those research’s price almost is fixed. Since recent years under inflation, cost has not likely passed stably, relating influence

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Chen, Chung-Yi, and 陳仲誼. "Evaluation of WECS Energy Output by the GeneralizedLikelihood Uncertainty Estimation Method." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/44490153435021168494.

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碩士<br>國立臺灣大學<br>生物環境系統工程學研究所<br>103<br>Recently green energy, including wind energy, is attached great importance. Moreover, with the improvement of wind energy technology the cost of wind energy development is decreasing. If we can properly assess the wind energy potential in a region, we can provide an incentive to investors. In the process of assessing wind power generation, there exists uncertainties, such as distribution of wind speed, selection of parameters, and estimation of wind generating capacity, etc. Considered the uncertainty of each step, the wind energy output can be estimated

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Wirokartono, Soekarno. "Price uncertainty, exports instability, and output level in the less developed countries." 1986. http://catalog.hathitrust.org/api/volumes/oclc/12600893.html.

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Gu, Mengyang Gu. "Robust Uncertainty Quantification and Scalable Computation for Computer Models with Massive Output." Diss., 2016. http://hdl.handle.net/10161/12882.

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<p>Uncertainty quantification (UQ) is both an old and new concept. The current novelty lies in the interactions and synthesis of mathematical models, computer experiments, statistics, field/real experiments, and probability theory, with a particular emphasize on the large-scale simulations by computer models. The challenges not only come from the complication of scientific questions, but also from the size of the information. It is the focus in this thesis to provide statistical models that are scalable to massive data produced in computer experiments and real experiments, through fast and ro

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Barker, Kash. "Extensions of inoperability input-output modeling for preparedness decision making : uncertainty and inventory /." 2008. http://wwwlib.umi.com/dissertations/fullcit/3312161.

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Dang, Thai-Viet, and 鄧泰越. "Observer Design for the T-S Fuzzy Systems with Uncertainty and Output Disturbance." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/99918358545923424471.

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博士<br>國立中央大學<br>電機工程學系<br>101<br>In the dissertation, several observer design methods for Takagi-Sugeno (T-S) fuzzy systems with uncertainty, disturbance or/and time-delay are proposed, respectively. In Chapter 2, the observer design for T-S fuzzy systems with uncertainty and disturbance is presented, where an augmented T-S fuzzy system is constructed by integrating the system state and the output disturbance into a new variable. Then, based on Lyapunov theory and LMI tools, some sufficient conditions for the existence of the fuzzy observer and the observer synthesis are achieved such that the

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Shih, Chia-Han, and 史嘉瀚. "Uncertainty Analysis of WECS Energy Output Estimation:A Case Study of Jhongtun Power Station." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/75626308615698432556.

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碩士<br>國立臺灣大學<br>生物環境系統工程學研究所<br>99<br>Estimation of the wind power generation requires the knowledge of velocity distribution fitting, velocity prediction, and power output prediction. There parameters are treated as a specific value, but there exist various uncertainties in modeling and data acquisition. The traditional approach may not fully express the actual energy output. As a result, this study presents an integrated assessment of the uncertainties in energy output estimation using the Monte-Carlo approach to provide a comprehensive understanding of the variance in the energy output esti

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Løvaas, Christian. "Dissipativity, optimality and robustness of model predictive control policies." Thesis, 2008. http://hdl.handle.net/1959.13/29571.

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Research Doctorate - Doctor of Philosophy (PhD)<br>This thesis addresses the problem of robustness in model predictive control (MPC) of discrete-time systems. In contrast with most previous work on robust MPC, our main focus is on robustness in the face of both imperfect state information and dynamic model uncertainty. For linear discrete-time systems with model uncertainty described by sum quadratic constraints, we propose output-feedback MPC policies that: (i) treat soft constraints using quadratic penalty functions; (ii) respect hard constraints using 'tighter' constraints; and (iii) achiev

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Løvaas, Christian. "Dissipativity, optimality and robustness of model predictive control policies." 2008. http://hdl.handle.net/1959.13/29571.

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Research Doctorate - Doctor of Philosophy (PhD)<br>This thesis addresses the problem of robustness in model predictive control (MPC) of discrete-time systems. In contrast with most previous work on robust MPC, our main focus is on robustness in the face of both imperfect state information and dynamic model uncertainty. For linear discrete-time systems with model uncertainty described by sum quadratic constraints, we propose output-feedback MPC policies that: (i) treat soft constraints using quadratic penalty functions; (ii) respect hard constraints using 'tighter' constraints; and (iii) achiev

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CHAUDHRY, NIKHIL. "A RISK ANALYSIS AND RELIABILITY FORECASTING METHOD FOR WIND ENERGY SYSTEMS." 2011. http://hdl.handle.net/10222/14352.

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Two of the most significant challenges facing the world in the 21st century are improving energy security and mitigating the effects of climate change. To counter these challenges, renewable energy sources, such as wind, are considered a possible solution and have gained importance worldwide. With many jurisdictions setting high wind-energy targets for the coming decades, risks have grown as the demand for new wind turbines has outstripped the growth of its suppliers. Integrating significant amounts of wind-electricity into existing networks raises reliability concerns due to variable nature

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Kuliková, Veronika. "Porovnání přístupu k inflačním predikcím: Růst peněz vs. mezera výstupu." Master's thesis, 2013. http://www.nusl.cz/ntk/nusl-329300.

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Inflation is one of the often used monetary indicators in conducting monetary policy. Even though money supply is an essential determinant of inflation, it is not used in inflation modeling. Currently, output gap is considered as most predicative variable. This thesis brings the empirical evidence on the hypothesis of money supply carrying more information on estimating inflation than the output gap. It is provided on the case of 16 developed European economies using Bayesian Model Averaging (BMA). BMA is a comprehensive approach that deals with the model uncertainty and thus solves the variab

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Kubovič, Jozef. "Vzťah variability inflácie a produkcie v krajinách strednej a východnej Európy: dvojrozmerný GARCH model." Master's thesis, 2015. http://www.nusl.cz/ntk/nusl-350787.

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This thesis examines the output-variability relationship and causal relationships among the inflation, the output growth and their uncertainties for the Central and Eastern European region during the period of time that covers the economic crisis of 2008. We apply the bivariate GARCH(1,1) model with the constant conditional correlation covariance matrix to obtain conditional variances that proxy the two uncertainties and use Granger causality test to determine the causal effects among four variables. We come up with a number of interesting results. First, we did not find statistical evidence n

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Lin, Po-Han, and 林柏漢. "ROBUST ADAPTIVE FUZZY OUTPUT FEEDBACK CONTROL OF MULTIVARIABLE NONLINEAR UNCERTAIN SYSTEMS WITH DELAYED OUTPUT." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/61292989170571143991.

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碩士<br>大同大學<br>電機工程學系(所)<br>96<br>In this thesis, a robust adaptive fuzzy output feedback control based on a state observer for a class of multi-input multi-output (MIMO) nonlinear systems with output delay and uncertainties is presented to deal with the problems of asymptotic stabilization and output tracking performance. Firstly, fuzzy logic systems and some adaptive laws are used to approximate unknown nonlinear functions and the unknown upper bounds of uncertainties, respectively. Secondly, the state observer is applied for estimating all states which are not available for measurement in t

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Liao, Ying-Ting, and 廖盈婷. "Analyzing Bank''s Efficiency Under Uncertain Output Prices." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/75327463314198690821.

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碩士<br>淡江大學<br>經濟學系應用經濟學碩士班<br>92<br>In this study, we formulate the behavioral model under uncertainty to analyze bank managers’ attitude toward risk and economic efficiency. First, we introduce the concept of uncertain output price into a profit function on the basis of safety-fist rule. Second, we model economic efficiency into a cost function. After some manipulations, we derive an efficiency-adjusted translog cost function together with two out-put price equations. These three equations will be estimated by maximum likelihood, using a panel data set consisting of 49 Taiwan’s domestic b

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Galimidi, Alberto Ricardo. "Robust stabilization of uncertain linear systems via output feedback." 1986. http://catalog.hathitrust.org/api/volumes/oclc/13725258.html.

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Thesis (Ph. D.)--University of Wisconsin--Madison, 1986.<br>Typescript. Vita. eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references (leaves 199-206).

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Van, Huynh Van, and 黃文萬. "Output Feedback Sliding Mode Control for Complex Mismatched Uncertain Systems." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/98714461666981480850.

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博士<br>大葉大學<br>機械與自動化工程學系<br>103<br>This dissertation investigates the development of sliding mode control (SMC) theory for complex mismatched uncertain systems without measurement of all state variables. In the sliding phase, we design new sliding surfaces such that the reaching time is equal to zero and the desired dynamic behaviour of the system is obtained from the beginning of its motion. We next derive sufficient conditions in terms of linear matrix inequalities such that the system in the sliding mode is asymptotically stable. In the reaching phase, based on new Lemmas, a static output f

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