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Rozprawy doktorskie na temat „Fuzzy parametric uncertain system”

Autor: Grafiati

Data publikacji: 5 czerwca 2025

Data aktualizacji: 1 sierpnia 2025

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1

Wright, Andrew A. M. "Fuzzy prediction based control of an uncertain nonlinear system." Thesis, University of Oxford, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.542996.

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Antão, Rómulo José Magalhães Martins. "Type-2 fuzzy logic: uncertain systems' modeling and control." Doctoral thesis, Universidade de Aveiro, 2016. http://hdl.handle.net/10773/18041.

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Doutoramento em Engenharia Eletrotécnica<br>A última fronteira da Inteligência Artificial será o desenvolvimento de um sistema computacional autónomo capaz de "rivalizar" com a capacidade de aprendizagem e de entendimento humana. Ainda que tal objetivo não tenha sido até hoje atingido, da sua demanda resultam importantes contribuições para o estado-da-arte tecnológico atual. A Lógica Difusa é uma delas que, influenciada pelos princípios fundamentais da lógica proposicional do raciocínio humano, está na base de alguns dos sistemas computacionais "inteligentes" mais usados da atualidade.

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Wang, Yuying. "Type-2 fuzzy probabilistic system for proactive monitoring of uncertain data-intensive seasonal time series." Thesis, De Montfort University, 2014. http://hdl.handle.net/2086/11059.

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This research realises a type-2 fuzzy probabilistic system for proactive monitoring of uncertain data-intensive seasonal time series in both theoretical and practical implications. In this thesis, a new form of representation, J˜-plane, is proposed for concave and unnormalized type-2 fuzzy events as well as convex and normalized ones, which facilitates bridging the gaps between higher order fuzzy probability realizations and real world problems. Since J˜-plane representation, the investigation of type-2 fuzzy probability theory and the proposal of a type-2 fuzzy probabilistic system become pos

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Manceur, Malik. "Commande robuste des systèmes non linéaires complexes." Thesis, Reims, 2012. http://www.theses.fr/2012REIMS003/document.

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Le travail de la thèse traite le problème de suivi de trajectoires des systèmes non linéaires incertains,dont le modèle nominal est construit à l’aide d’un système flou TS (Takagi-Sugeno) de type-2. Cedernier, exploite les modèles locaux du système obtenus par linéarisation autour de certains pointsde fonctionnement. La commande développée est basée sur les modes glissants d’ordre deux avecSuper-Twisting. Nous avons proposé deux systèmes flous type-2 adaptatifs, qui ont comme uniqueentrée la surface de glissement, pour résoudre le problème du calcul de la valeur optimale des gainsde la command

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Федянина, Христина Борисівна, та Валерій Петрович Северин. "Параметричний синтез нечіткого регулятора системи керування паровою турбіною атомної електростанції". Thesis, Львівська політехніка, 2011. http://repository.kpi.kharkov.ua/handle/KhPI-Press/32718.

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Ця стаття описує рішення проблеми синтезу інтелектуальних систем управління. Оптимальні системи управління з нечіткими регуляторами синтезовано для парової турбіни, що дозволяє порівнювати нечіткі регулятори та традиційні ПІД-регулятори.<br>This paper describes solution of synthesis problems in intellectual control systems. Optimal control systems with fuzzy controllers were synthesized for steam turbine, thus allowing comparison between fuzzy controllers and traditional PID controllers.

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Chang, Deng-Hong, and 張登宏. "Robust H∞ control for uncertain T-S fuzzy time-delay systems with parametric and nonlinear perturbations." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/18345479535244142864.

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碩士<br>義守大學<br>電機工程學系碩士班<br>94<br>In this dissertation, the robust H∞ control for Takagi-Sugeno fuzzy systems with time-varying state and input delays is considered. New Lyapunov-Krasovskii functional theory and Leibniz-Newton formula are used to solve the robust H∞ control problem. Delay-dependent stabilizability criteria are proposed to achieve the H∞ controls for two classes of fuzzy systems with parametric and nonlinear uncertainties, respectively. LMI optimization approach is applied to solve the H∞ control problem. The minimization of H∞ norm bound is found from LMI formulation. From

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LIN, TZU-CHUAN, and 林孜娟. "Identification Structures Parametric System using Fuzzy Kalman Filter." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/73365577349433831899.

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碩士<br>中原大學<br>土木工程研究所<br>96<br>Due to the great damage induced by the Chi-Chi Earthquake occurred in Taiwan on September 21, 1999; more and more emphases have been put on the earthquake resistant design of buildings. Dynamic behavior of building under earthquake should be considered in the process of design. In order to realize the dynamic behavior of structural systems, the dynamic models and parameters can be determined by system identification techniques. The purpose of this research is to be use recursive parametric method to develop the on-line system identification by input and output, w

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Kung, Lei-Huan, and 龔磊桓. "HYBRID ADAPTIVE FUZZY SLIDING MODE CONTROLLER FOR UNCERTAIN NONLINEAR SYSTEM." Thesis, 2002. http://ndltd.ncl.edu.tw/handle/25343827551574763921.

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碩士<br>大同大學<br>電機工程研究所<br>90<br>In this thesis, a hybrid adaptive fuzzy sliding mode controller for uncertain nonlinear systems is proposed to attenuate the effects caused by unmodeled dynamics, disturbances and approximate errors. Because of the advantages of fuzzy logic systems, which can uniformly approximate nonlinear continuous functions to arbitrary accuracy, adaptive fuzzy control theory is then employed to derive the update laws for approximating the uncertain nonlinear functions of the dynamical system. Furthermore, the hybrid adaptive (HA) law design technique and the sliding mode c

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9

Lin, Yuh-Ching, and 林育慶. "ROBUST SLIDING MODE CONTROLLER DESIGN OF UNCERTAIN NONLINEAR TIME-DELAY SYSTEM USING FUZZY MODEL." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/46289806474486768449.

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碩士<br>大同大學<br>電機工程研究所<br>92<br>In this thesis, we consider the problem of designing the sliding mode controller for an uncertain time-delay system with unmatched parametric uncertainties in the state and input matrix. Our approach is based on Takagi-Sugeno ( T-S ) fuzzy modeling method and sliding mode control technique. Using the Takagi-Sugeno fuzzy model, it is to combine some simple local linear systems with their linguistic description to represent original nonlinear systems. Then the sliding mode controller is developed for fuzzy delayed system with unmatched uncertainties. Based on Lyapu

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Chang, Yong-Han, and 張永翰. "Adaptive Sliding Mode Control for Uncertain T-S Fuzzy System with State and Input Delays." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/3g8t7p.

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碩士<br>國立臺北科技大學<br>自動化科技研究所<br>100<br>In this paper, the stability and stabilization problems for uncertain T-S fuzzy system with state and input delays are explored. Firstly, based on the Leibniz-Newton formula and Lyapunov stability theory, the stability conditions for a state-delay system are formulated by linear matrix inequalities (LMIs). By examining the controller design problem, based on this stability condition, a sliding mode controller for the uncertain system with time-delays is propounded. In addition, an adaptive law for the time-delay uncertain system with external disturbance is

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11

Chen, Yi-Chao, and 陳奕超. "State Tracking Control Design of Uncertain Nonlinear System Based on Adaptive Fuzzy Sliding Mode Control Scheme." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/93998386750081487070.

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碩士<br>逢甲大學<br>自動控制工程學系<br>105<br>Parameter uncertainties, time-varying and unknown nonlinearities exist in a wide range of physical system. To overcome the control problem, an adaptive robust control scheme has been extensively used in modelling and controlling for uncertain nonlinear systems, and the designed controller have both good adaptability and robust stability thus. However, the scheme cannot ensure real-time tracking performance and accurate tracking of fast trajectories. In addition, the adaptive robust controller is often difficult to implement practically. Therefore, this thesis d

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Chen, Chih-Chieh, and 陳志杰. "ESTIMATION OF THE ASYMPOTOTIC STABILITY REGION OF UNCERTAIN FUZZY SYSTEMS WITH BOUNDED CONTROLLERS USING VARIABLE STRUCTURE SYSTEM DESIGN APPROACH." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/16390534201265929119.

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碩士<br>大同大學<br>電機工程學系(所)<br>98<br>In this thesis, the problem of estimating the asymptotic stability region (ASR) of uncertain nonlinear systems is considered. Our approach is based on Takigi-Sugeno (T-S) fuzzy modeling method and variable structure control (VSC) technique. Thus, the problem of estimating the ASR of uncertain T-S fuzzy systems with bounded sliding mode controllers is proposed. To simplify the problem, we use a state transformation to reduce the system order of the T-S fuzzy systems. Then we design the sliding surface for the transformed system. Using the Lyaponov stability theo

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Shen, Jhih-Rong, and 沈智榮. "Parametric Optimization of a Fuzzy System Based on CombinedGlobal and Local Search Methods With Application to Illuminant Estimation." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/73396563076243659404.

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碩士<br>國立中興大學<br>電機工程學系所<br>102<br>Color balance algorithm has become an important part of image processing pipeline. Many high-class digital cameras have built-in sensors which can measure illuminant in real-time and make correction to the captured images. Before color balanced, images will appear to have been shifted towards one color or another, i.e., have color cast. A color balance algorithm is a class of image processing developed to remove color cast. Human eyes are sensitive to the neutral colors of the image. Most color balance algorithm is mainly aimed at these col

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Srinivas, Nowduri. "Uncertainty Handling In Knowledge-Based Systems Via Evidence Representation." Thesis, 1996. https://etd.iisc.ac.in/handle/2005/1889.

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Srinivas, Nowduri. "Uncertainty Handling In Knowledge-Based Systems Via Evidence Representation." Thesis, 1996. http://etd.iisc.ernet.in/handle/2005/1889.

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