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Gotowe bibliografie tematyczne / Fuzzy parametric uncertain system

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Gotowa bibliografia na temat „Fuzzy parametric uncertain system”

Autor: Grafiati

Data publikacji: 5 czerwca 2025

Data aktualizacji: 1 sierpnia 2025

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Artykuły w czasopismach na temat "Fuzzy parametric uncertain system"

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D. Apale, Tejal, and Ajay B. Patil. "Optimization study of fuzzy parametric uncertain system." IAES International Journal of Artificial Intelligence (IJ-AI) 8, no. 1 (2019): 14. http://dx.doi.org/10.11591/ijai.v8.i1.pp14-25.

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This paper deals with the analysis and design of the optimal robust controller for the fuzzy parametric uncertain system. An LTI system in which coefficients depends on parameters described by a fuzzy function is called as fuzzy parametric uncertain system. By optimal control design, we get control law and feedback gain matrix which can stabilize the system. The robust controller design is a difficult task so we go for the optimal control approach. The system can be converted into state space controllable canonical form with the α-cut property fuzzy. For optimal control design, we find control

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Tejal, D. Apale, and B. Patil Ajay. "Optimization study of fuzzy parametric uncertain system." International Journal of Artificial Intelligence (IJ-AI) 8, no. 1 (2019): 14–25. https://doi.org/10.11591/ijai.v8.i1.pp14-25.

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This paper deals with the analysis and design of the optimal robust controller for the fuzzy parametric uncertain system. An LTI system in which coefficients depends on parameters described by a fuzzy function is called as fuzzy parametric uncertain system. By optimal control design, we get control law and feedback gain matrix which can stabilize the system. The robust controller design is a difficult task so we go for the optimal control approach. The system can be converted into state space controllable canonical form with the α-cut property fuzzy. For optimal control design, we find c

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Bhiwani, R. J., and B. M. Patre. "Stability analysis of fuzzy parametric uncertain systems." ISA Transactions 50, no. 4 (2011): 538–47. http://dx.doi.org/10.1016/j.isatra.2011.06.002.

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Behera, Diptiranjan, Hong-Zhong Huang, and Smita Tapaswini. "Uncertain dynamic responses of imprecisely defined arbitrary order fractionally damped beam subject to various loads." Engineering Computations 35, no. 2 (2018): 818–42. http://dx.doi.org/10.1108/ec-04-2017-0134.

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PurposeRecently, fractional differential equations have been used to model various physical and engineering problems. One may need a reliable and efficient numerical technique for the solution of these types of differential equations, as sometimes it is not easy to get the analytical solution. However, in general, in the existing investigations, involved parameters and variables are defined exactly, whereas in actual practice it may contain uncertainty because of error in observations, maintenance induced error, etc. Therefore, the purpose of this paper is to find the dynamic response of fract

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Aydi, Amira, Mohamed Djemel, and Mohamed Chtourou. "Two fuzzy internal model control methods for nonlinear uncertain systems." International Journal of Intelligent Computing and Cybernetics 10, no. 2 (2017): 223–40. http://dx.doi.org/10.1108/ijicc-07-2016-0026.

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Purpose The purpose of this paper is to use the internal model control to deal with nonlinear stable systems affected by parametric uncertainties. Design/methodology/approach The dynamics of a considered system are approximated by a Takagi-Sugeno fuzzy model. The parameters of the fuzzy rules premises are determined manually. However, the parameters of the fuzzy rules conclusions are updated using the descent gradient method under inequality constraints in order to ensure the stability of each local model. In fact, without making these constraints the training algorithm can procure one or seve

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Jiao, Xin, Baris Fidan, Ju Jiang, and Mohamed Kamel. "Type-2 fuzzy adaptive sliding mode control of hypersonic flight." Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 233, no. 8 (2017): 2731–44. http://dx.doi.org/10.1177/0954410017712329.

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This paper proposes a type-2 fuzzy adaptive sliding mode control scheme for tracking control of hypersonic aircraft with uncertainties. This method uses full-state feedback to linearize the nonlinear model of hypersonic aircraft. Combining the interval type-2 fuzzy approach and adaptive sliding mode control keeps the system stable in the existence of uncertain parameters. For rapid stabilization of the system, the adaptive laws are designed using a direct constructive Lyapunov analysis together with a well-established type-2 fuzzy logic control. Simulation test results indicate that the propos

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Gao, Ze Feng, Jun Chen, and Fei Liu. "Guaranteed Cost Control for Fuzzy Bilinear Systems with Uncertain Parameters." Advanced Materials Research 433-440 (January 2012): 1723–29. http://dx.doi.org/10.4028/www.scientific.net/amr.433-440.1723.

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The main theme of this paper is to present robust guaranteed cost control laws for a class of fuzzy bilinear systems (FBS) with parametric uncertainties. First, the piecewise Lyapunov function (PLF) method is utilized to design a fuzzy controller, which ensures the robust asymptotic stability of the closed-loop system, and then the robust guaranteed cost control law is also proposed. Second, based on the Schur complement and some variable transformations, some sufficient conditions are derived to guarantee the stability of the overall fuzzy control system via linear matrix inequalities (LMIs).

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Anh, Ho Pham Huy, and Cao Van Kien. "Novel Approach of Robust Hinf Tracking Control for Uncertain Fuzzy Descriptor Systems Using Parametric Lyapunov Function." Journal of Computer Science and Cybernetics 36, no. 1 (2020): 69–88. http://dx.doi.org/10.15625/1813-9663/35/4/13749.

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This paper proposes a novel uncertain fuzzy descriptor system which is an extension from standard T-S fuzzy system. A fixed Lyapunov function-based approach is considered and controller design for this rich class of fuzzy descriptor systems is formulated as a problem of solving a set of LMIs. The design conditions for the descriptor fuzzy system are more complicated than the standard state-space-based systems. However, the descriptor fuzzy system-based approach has the advantage of possessing fewer number of matrix inequality conditions for certain special cases. Hence, it is suitable for comp

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Anh, Ho Pham Huy, and Cao Van Kien. "Novel Approach of Robust Hinf Tracking Control for Uncertain Fuzzy Descriptor Systems Using Parametric Lyapunov Function." Journal of Computer Science and Cybernetics 36, no. 1 (2020): 69–88. http://dx.doi.org/10.15625/1813-9663/36/1/13749.

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This paper proposes a novel uncertain fuzzy descriptor system which is an extension from standard T-S fuzzy system. A fixed Lyapunov function-based approach is considered and controller design for this rich class of fuzzy descriptor systems is formulated as a problem of solving a set of LMIs. The design conditions for the descriptor fuzzy system are more complicated than the standard state-space-based systems. However, the descriptor fuzzy system-based approach has the advantage of possessing fewer number of matrix inequality conditions for certain special cases. Hence, it is suitable for comp

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Qiu, Bingkui, Yan Tu, Guoliang Ou, et al. "Optimal Modeling of Sustainable Land Use Planning under Uncertain at a Watershed Level: Interval Stochastic Fuzzy Linear Programming with Chance Constraints." Land 12, no. 5 (2023): 1099. http://dx.doi.org/10.3390/land12051099.

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In this paper, an uncertain interval stochastic fuzzy chance constraint land use optimal allocation method is proposed and applied to solve the problem of land use planning in river basins. The UISFCL-LUP method is an aggregation of interval parametric programming, fuzzy linear programming and chance constraint programming which can cope with uncertain problems such as interval value, fuzzy set and probability. In this paper, the uncertain mathematical method is explored and studied in the optimal allocation of land use in the next two planning periods of Nansihu Lake Basin in China. Moreover,

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Rozprawy doktorskie na temat "Fuzzy parametric uncertain system"

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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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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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Części książek na temat "Fuzzy parametric uncertain system"

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Hušek, Petr. "Stability Margin for Linear Systems with Fuzzy Parametric Uncertainty." In PRICAI 2008: Trends in Artificial Intelligence. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-89197-0_65.

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Liu, Chenyu, Anlin Wang, and Xiaotian Li. "Thermal Robustness Redesign of Electromagnet Under Multi-Physical Field Coupling." In Lecture Notes in Mechanical Engineering. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-1876-4_21.

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AbstractAiming at the durability problem of the proportional electromagnet used in the proportional valve of engineering machinery, in order to improve its thermal failure resistance under random load conditions, a parametric redesign model of the proportional electromagnet was proposed based on the multi-physics coupling theory and robust optimization theory. This article takes the proportional electromagnet with a basin-type suction structure as the research object. The parameter model was verified through steady-state proportional electromagnet tests and temperature distribution tests. On t

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Hušek, Petr. "Parametric Uncertainty of Linear Discrete-Time Systems Described by Fuzzy Numbers." In Knowledge-Based and Intelligent Information and Engineering Systems. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04595-0_2.

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Huang, Dan, and Sing Kiong Nguang. "Takagi–Sugeno Fuzzy Control System." In Robust Control for Uncertain Networked Control Systems with Random Delays. Springer London, 2009. http://dx.doi.org/10.1007/978-1-84882-678-6_8.

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Martínez-Guerra, Rafael, Claudia A. Pérez-Pinacho, and Gian Carlo Gómez-Cortés. "Synchronization of an Uncertain Rikitake System with Parametric Estimation." In Synchronization of Integral and Fractional Order Chaotic Systems. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-15284-4_5.

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Bel, W., D. López De Luise, A. Asmis, and D. Mansilla. "Parametric Prediction Model Using Expert System and Fuzzy Harmonic System." In Soft Computing Applications. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-62524-9_10.

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Cortés Antonio, Prometeo, Ildar Batyrshin, Heron Molina Lozano, Luis A. Villa Vargas, and Imre Rudas. "FPGA Implementation of Fuzzy System with Parametric Membership Functions and Parametric Conjunctions." In Advances in Soft Computing. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-16773-7_42.

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Coelho, Ricardo. "Solving Real-World Fuzzy Quadratic Programming Problems by Dual Parametric Approach." In Fuzzy Logic in Intelligent System Design. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-67137-6_4.

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da Silva, Ivan Nunes, and Rogerio Andrade Flauzino. "Efficient Parametric Adjustment of Fuzzy Inference System Using Unconstrained Optimization." In Computational and Ambient Intelligence. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-73007-1_49.

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Yoo, Seog-Hwan, and Byung-Jae Choi. "A Fault Detection System Design for Uncertain T-S Fuzzy Systems." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11925231_15.

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Streszczenia konferencji na temat "Fuzzy parametric uncertain system"

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Aizitili, Aikebaier, and Huiguo Zhang. "Uncertain Semi-parametric Additive Model Based on Orthogonal Series Method." In 2024 IEEE 25th China Conference on System Simulation Technology and its Application (CCSSTA). IEEE, 2024. http://dx.doi.org/10.1109/ccssta62096.2024.10691726.

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Mattar, Ebrahim A., and Khaled H. Al Mutib. "Fuzzy Gain-Scheduling Nonlinear Parametric Uncertain System." In 2011 Third International Conference on Computational Intelligence, Modelling and Simulation (CIMSiM). IEEE, 2011. http://dx.doi.org/10.1109/cimsim.2011.31.

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Wu, Bing-Fei, Li-Shan Ma, Jau-Woei Perng, and Hung-I. Chin. "Absolute stability analysis in uncertain static fuzzy control systems with the parametric robust Popov criterion." In 2008 IEEE 16th International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2008. http://dx.doi.org/10.1109/fuzzy.2008.4630544.

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Chansaad, Annaruemon Phoonsiri, Supapan Chaiprapat, and Pisal Yenradee. "A parametric-fuzzy logic system for paint cost estimation of products with uncertain geometric characteristics." In 2013 International Conference on Fuzzy Theory and Its Applications (iFUZZY). IEEE, 2013. http://dx.doi.org/10.1109/ifuzzy.2013.6825488.

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Guo, Shuxiang, and Ying Li. "Robust reliability method for guaranteed-cost fuzzy control of parametric uncertain nonlinear systems." In 2012 9th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD). IEEE, 2012. http://dx.doi.org/10.1109/fskd.2012.6234199.

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Lai, Yi-Horng, Jau-Woei Perng, and Li-Shan Ma. "Stability margin analysis of DC-DC converter with fuzzy parametric uncertainty." In 2015 IEEE/SICE International Symposium on System Integration (SII). IEEE, 2015. http://dx.doi.org/10.1109/sii.2015.7405088.

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Kiriakidis, Kiriakos, Anthony Tzes, and George Vradis. "Active Control of Gaseous Systems: A Fuzzy Logic Approach." In ASME 1996 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 1996. http://dx.doi.org/10.1115/imece1996-0955.

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Abstract The active control problem of gaseous systems is addressed in this article. The objective is to regulate gas velocity, at particular locations within the system, so that appropriate mass flow rate is achieved. The dynamics describing the system, using modal expansion, reduce to a finite set of ordinary differential equations. Due to variations of the gas properties with operating conditions, there exists parametric uncertainty in the obtained reduced-order model. To overcome the problem of estimating the model parameters or the extent of the parametric uncertainty, a variable structur

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Husek, Petr. "Linear discrete-time systems with fuzzy parametric uncertainty." In Vision (ICARCV 2010). IEEE, 2010. http://dx.doi.org/10.1109/icarcv.2010.5707209.

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Prokop, Roman, Radek Matusu, and Jiri Vojtesek. "A Robust And Adaptive Approach To Control Of A Continuous Stirred Tank Reactor With Jacket Cooling." In 35th ECMS International Conference on Modelling and Simulation. ECMS, 2021. http://dx.doi.org/10.7148/2021-0185.

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Continuous Stirred Tank Reactors (CSTR) are one of the main technological plants used in chemical and biochemical industry. These systems are quite complex with many nonlinearities and the conventional linear control with fixed parameters can be questionable or sometimes unacceptable. The solution should be found in so-called “non-traditional” control approaches like adaptive, robust, fuzzy, or artificial intelligent methods. One way is the utilization of self-tuning adaptive schemes, but computations may be quite difficult, clumsy and time-consuming. This paper brings an alternative principle

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Shuxia Kang, Xiaoguang Yang, and Wenhu He. "Robust control of continuous-time fuzzy systems with parametric uncertainty." In 2010 Chinese Control and Decision Conference (CCDC). IEEE, 2010. http://dx.doi.org/10.1109/ccdc.2010.5498893.

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