Auswahl der wissenschaftlichen Literatur zum Thema „Uncertain time-Varying parameter“
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Zeitschriftenartikel zum Thema "Uncertain time-Varying parameter"
Yang, Fan, Wen Wang, Lixiang Li, Mingwen Zheng, Yanping Zhang und Zhenying Liang. „Finite-time parameter identification of fractional-order time-varying delay neural networks based on synchronization“. Chaos: An Interdisciplinary Journal of Nonlinear Science 33, Nr. 3 (März 2023): 033146. http://dx.doi.org/10.1063/5.0137598.
Der volle Inhalt der QuelleChen, Y. H. „Decentralized Adaptive Robust Control Design: The Uncertainty is Time Varying“. Journal of Dynamic Systems, Measurement, and Control 113, Nr. 3 (01.09.1991): 515–18. http://dx.doi.org/10.1115/1.2896441.
Der volle Inhalt der QuelleHUANG, HE, HAN-XIONG LI und JUE ZHONG. „MASTER-SLAVE SYNCHRONIZATION OF GENERAL LUR'E SYSTEMS WITH TIME-VARYING DELAY AND PARAMETER UNCERTAINTY“. International Journal of Bifurcation and Chaos 16, Nr. 02 (Februar 2006): 281–94. http://dx.doi.org/10.1142/s0218127406014800.
Der volle Inhalt der QuelleMukdasai, Kanit. „Robust Exponential Stability for LPD Discrete-Time System with Interval Time-Varying Delay“. Journal of Applied Mathematics 2012 (2012): 1–13. http://dx.doi.org/10.1155/2012/237430.
Der volle Inhalt der QuelleIqbal, Muhammad Naveed, Jian Xiao und Weiming Xiang. „Parameter-dependent finite-time observer design for time-varying polytopic uncertain switched systems“. Journal of the Franklin Institute 351, Nr. 3 (März 2014): 1657–72. http://dx.doi.org/10.1016/j.jfranklin.2013.12.007.
Der volle Inhalt der QuelleHu, Jingting, Guixia Sui, Shengli Du und Xiaodi Li. „Finite-Time Stability of Uncertain Nonlinear Systems with Time-Varying Delay“. Mathematical Problems in Engineering 2017 (2017): 1–9. http://dx.doi.org/10.1155/2017/2538904.
Der volle Inhalt der QuelleShao, Xueying, Qing Lu, Hamid Reza Karimi und Jin Zhu. „New Results on Passivity Analysis for Uncertain Neural Networks with Time-Varying Delay“. Abstract and Applied Analysis 2014 (2014): 1–9. http://dx.doi.org/10.1155/2014/303575.
Der volle Inhalt der QuelleChen, Fu, Shugui Kang und Fangyuan Li. „Stability and Stabilization for Polytopic LPV Systems with Parameter-Varying Time Delays“. Mathematical Problems in Engineering 2019 (05.05.2019): 1–12. http://dx.doi.org/10.1155/2019/4924963.
Der volle Inhalt der QuelleLou, Xuyang, Qian Ye und Baotong Cui. „Parameter-dependent robust stability of uncertain neural networks with time-varying delay“. Journal of the Franklin Institute 349, Nr. 5 (Juni 2012): 1891–903. http://dx.doi.org/10.1016/j.jfranklin.2012.02.015.
Der volle Inhalt der QuelleHashimoto, Tomoaki, und Takashi Amemiya. „Output Feedback Stabilization of Linear Time-Varying Uncertain Delay Systems“. Mathematical Problems in Engineering 2009 (2009): 1–14. http://dx.doi.org/10.1155/2009/457468.
Der volle Inhalt der QuelleDissertationen zum Thema "Uncertain time-Varying parameter"
Hego, Axelle. „Analyse de sensibilité sur un modèle hydrologique de toiture végétalisée“. Electronic Thesis or Diss., Université de Lorraine, 2022. http://www.theses.fr/2022LORR0161.
Der volle Inhalt der QuelleIn the last decades, soil imperviousness in urban areas have been one of the main issue because it can lead to the saturation of drainage systems and flood. In order to reduce the impact of this imperviousness, the installation of green roofs is an interesting solution to retain and slow down rainwater before it reaches the sewer system. An in-depth study of the hydric behavior of these structures is necessary for the installation of efficient green roofs in eco-districts for example. The hydric performances are characterized by the water content inside the different layers of the roof. This water content can be simulated with complex models depending on several parameters difficult to determine with precision such as soil, vegetation and meteorological parameters. The uncertainties of these parameters will propagate in the model and affect the simulation of the water content. To analyse and quantify the impact of parameter uncertainties on the model output, the water content, global sensitivity analysis methods are applied. First, a simplified model is considered. Its particularity is its time-varying output. The sensitivity analysis is conducted using a sequential but also multivariate approach.Then, a calibration of the complete model is performed using the sensitivity analysis. Finally, an uncertain and time-varying weather parameter is added to the study. An original approach is proposed to generate consistent and time-correlated samples for this parameter. The results of this thesis work have highlighted the parameters with the highest impact on water content over time among the soil, vegetation and weather parameters. These results have improved the understanding of the green roof dynamics
Doehr, Rachel M. „Adventures at the Zero Lower Bound: A Bayesian Time-Varying Parameter Vector Autoregressive Analysis of Monetary Policy Uncertainty Shocks“. Scholarship @ Claremont, 2016. http://scholarship.claremont.edu/cmc_theses/1318.
Der volle Inhalt der QuelleJuutilainen, I. (Ilmari). „Modelling of conditional variance and uncertainty using industrial process data“. Doctoral thesis, University of Oulu, 2006. http://urn.fi/urn:isbn:9514282620.
Der volle Inhalt der QuelleGanguly, Shreyan. „Modeling Nonstationarity Using Locally Stationary Basis Processes“. The Ohio State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1563408374215259.
Der volle Inhalt der QuelleTang, Yao-Tsuen, und 湯堯存. „Observer-Based Fuzzy Adaptive Controller Design forNonlinear Systems with Time-Varying Uncertain Parameters“. Thesis, 2006. http://ndltd.ncl.edu.tw/handle/57225600500655951907.
Der volle Inhalt der Quelle大同大學
電機工程學系(所)
94
In this thesis, we propose an indirect adaptive fuzzy control scheme combined with state estimation for continuous-time multiple-input-multiple-output (MIMO) nonlinear systems with time-varying parametric uncertainties where the state information is not available. The proposed observer-based indirect adaptive fuzzy control employs a fuzzy system to approximate the time-varying parametric uncertainties, which are periodic and the only prior knowledge is the periodicity, to obtain fast parameter adaptation and fast convergence of the tracking error. Based on the Lyapunov stability theorem, the proposed adaptive fuzzy control system can guarantee the stability of the whole closed-loop system and obtain good tracking performance as well. Finally, the proposed method is applied to a 2-dof parallel robot control problems. The simulation can demonstrate the validity of the proposed scheme and achieve satisfy simulation results.
Bücher zum Thema "Uncertain time-Varying parameter"
Chang-Jin, Kim. Sources of monetary growth uncertainty and economic activity: The time-varying-parameter model with heteroskedasticity in the disturbance terms. [Toronto, Ont: York University, Dept. of Economics, 1990.
Den vollen Inhalt der Quelle findenAmato, Francesco. Robust Control of Linear Systems Subject to Uncertain Time-Varying Parameters. Springer, 2006.
Den vollen Inhalt der Quelle findenAmato, Francesco. Robust Control of Linear Systems Subject to Uncertain Time-Varying Parameters. Springer London, Limited, 2006.
Den vollen Inhalt der Quelle findenRobust Control of Linear Systems Subject to Uncertain Time-Varying Parameters. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/3-540-33276-6.
Der volle Inhalt der QuelleBuchteile zum Thema "Uncertain time-Varying parameter"
Fu, Minyue, und Huaizhong Li. „Model Following Robust Control of Linear Time-Varying Uncertain Systems“. In Robustness of Dynamic Systems with Parameter Uncertainties, 261–70. Basel: Birkhäuser Basel, 1992. http://dx.doi.org/10.1007/978-3-0348-7268-3_26.
Der volle Inhalt der QuelleSchaeffner, Maximilian, und Roland Platz. „Linear Parameter-Varying (LPV) Buckling Control of an Imperfect Beam-Column Subject to Time-Varying Axial Loads“. In Model Validation and Uncertainty Quantification, Volume 3, 103–12. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-54858-6_11.
Der volle Inhalt der QuelleYoo, Seog-Hwan, und Byung-Jae Choi. „A Balanced Model Reduction for T-S Fuzzy Systems with Uncertain Time Varying Parameters“. In Computational and Information Science, 148–53. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30497-5_24.
Der volle Inhalt der QuelleFu, Minyue, Lihua Xie und Carlos E. de Souza. „H ∞ Control for Linear Systems with Time-Varying Parameter Uncertainty *“. In CONTROL of UNCERTAIN DYNAMIC SYSTEMS, 63–75. CRC Press, 2020. http://dx.doi.org/10.1201/9781003067702-6.
Der volle Inhalt der QuelleCerone, V., D. Piga und D. Regruto. „Set-membership identification of input-output LPV models with uncertain time-varying parameters“. In Linear Parameter-Varying System Identification, 41–64. WORLD SCIENTIFIC, 2011. http://dx.doi.org/10.1142/9789814355452_0003.
Der volle Inhalt der QuelleRogers, Alexander W., Ziqi Song, Fernando Vega Ramon, Keju Jing und Dongda Zhang. „Hybrid Modelling Under Uncertainty: Effects of Model Greyness, Data Quality and Data Quantity“. In Machine Learning and Hybrid Modelling for Reaction Engineering, 208–28. Royal Society of Chemistry, 2023. http://dx.doi.org/10.1039/bk9781837670178-00208.
Der volle Inhalt der QuelleMansouri, Majdi, Benjamin Dumont und Marie-France Destain. „Modeling and Prediction of Time-Varying Environmental Data Using Advanced Bayesian Methods“. In Exploring Innovative and Successful Applications of Soft Computing, 112–37. IGI Global, 2014. http://dx.doi.org/10.4018/978-1-4666-4785-5.ch007.
Der volle Inhalt der QuelleMowbray, Max, Ehecatl Antonio Del Rio Chanona und Dongda Zhang. „Constructing Time-varying and History-dependent Kinetic Models Via Reinforcement Learning“. In Machine Learning and Hybrid Modelling for Reaction Engineering, 247–73. Royal Society of Chemistry, 2023. http://dx.doi.org/10.1039/bk9781837670178-00247.
Der volle Inhalt der QuelleYayla, Metehan, und Ali Turker Kutay. „Information Recovery in Composite Model Reference Adaptive Control“. In Latest Adaptive Control Systems [Working Title]. IntechOpen, 2024. http://dx.doi.org/10.5772/intechopen.1005440.
Der volle Inhalt der QuelleShahriari, Kyarash. „Identification and Response Prediction of Switching Dynamic Systems Using Interval Analysis“. In Cybernetics and Systems Theory in Management, 274–302. IGI Global, 2010. http://dx.doi.org/10.4018/978-1-61520-668-1.ch015.
Der volle Inhalt der QuelleKonferenzberichte zum Thema "Uncertain time-Varying parameter"
Xing, Hailong, WenJie Zhao und D. H. Li. „Variable Structure Control for Parameter Uncertain Stochastic Systems with Time-Varying Delay“. In 2008 IEEE Conference on Robotics, Automation and Mechatronics (RAM). IEEE, 2008. http://dx.doi.org/10.1109/ramech.2008.4681341.
Der volle Inhalt der QuelleMizouri, Hanin, Rihab Lamouchi und Messaoud Amairi. „Functional Interval Estimation for Uncertain Continuous-time Linear Parameter-Varying Multivariable Systems“. In 2023 IEEE International Workshop on Mechatronic Systems Supervision (IW_MSS). IEEE, 2023. http://dx.doi.org/10.1109/iw_mss59200.2023.10369308.
Der volle Inhalt der QuelleSouthward, Steve C. „Real-Time Parameter ID Using Polynomial Chaos Expansions“. In ASME 2007 International Mechanical Engineering Congress and Exposition. ASMEDC, 2007. http://dx.doi.org/10.1115/imece2007-43745.
Der volle Inhalt der QuelleCerone, V., und D. Regruto. „Set-membership identification of LPV models with uncertain measurements of the time-varying parameter“. In 2008 47th IEEE Conference on Decision and Control. IEEE, 2008. http://dx.doi.org/10.1109/cdc.2008.4739267.
Der volle Inhalt der QuelleLi, Shanbin, Dominique Sauter und Bugong Xu. „Uniformly ultimate boundedness event-triggered control for discrete-time uncertain linear parameter-varying systems“. In 2014 33rd Chinese Control Conference (CCC). IEEE, 2014. http://dx.doi.org/10.1109/chicc.2014.6895920.
Der volle Inhalt der QuelleJun Li, Gang Wu und Zhiquan Wang. „Robust H∞Fault Tolerant Control Design for Linear Uncertain Systems with Time-varying Norm-bounded Parameter Uncertainty“. In 2006 6th World Congress on Intelligent Control and Automation. IEEE, 2006. http://dx.doi.org/10.1109/wcica.2006.1712802.
Der volle Inhalt der QuelleZhang, Zhen, Zongxuan Sun und Peiqing Ye. „An Internal Model-Based Tracking Control for a Class of Uncertain Linear Time-Varying Systems“. In ASME 2010 Dynamic Systems and Control Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/dscc2010-4271.
Der volle Inhalt der QuelleJong Hae Kim, Eun Tae Jeung und Hong Bae Park. „Robust H/sup /spl infin// control for parameter uncertain system with time-varying delayed states: output feedback case“. In Proceedings of 16th American CONTROL Conference. IEEE, 1997. http://dx.doi.org/10.1109/acc.1997.609513.
Der volle Inhalt der QuelleLee, Lawton H., und Kameshwar Poolla. „Identifiability Issues for Parameter-Varying and Multidimensional Linear Systems“. In ASME 1997 Design Engineering Technical Conferences. American Society of Mechanical Engineers, 1997. http://dx.doi.org/10.1115/detc97/vib-4240.
Der volle Inhalt der QuelleHyun, Dong Jin, Jungsu Choi und Kyoungchul Kong. „A High Performance Tracking Control Method Based on a Disturbance Observer With Parameter Adaptation“. In ASME 2013 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/dscc2013-3814.
Der volle Inhalt der QuelleBerichte der Organisationen zum Thema "Uncertain time-Varying parameter"
Hauzenberger, Niko, Florian Huber, Gary Koop und James Mitchell. Bayesian modeling of time-varying parameters using regression trees. Federal Reserve Bank of Cleveland, Januar 2023. http://dx.doi.org/10.26509/frbc-wp-202305.
Der volle Inhalt der QuelleLiu und Nixon. L52305 Probabilistic Analysis of Pipeline Uplift Resistance. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), Juni 2010. http://dx.doi.org/10.55274/r0000002.
Der volle Inhalt der QuelleRESIDUAL LIFE PREDICTION AND DESIGN CORRECTION METHOD OF CORRODED CIRCULAR STEEL TUBES BASED ON TIME-VARYING RELIABILITY. The Hong Kong Institute of Steel Construction, März 2024. http://dx.doi.org/10.18057/ijasc.2024.20.1.2.
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