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Articoli di riviste sul tema "H1/H∞ filter"
Fu, Yu Long, Xiao Long Xin e Jun Tao Wang. "State maps on semihoops". Open Mathematics 16, n. 1 (18 settembre 2018): 1061–76. http://dx.doi.org/10.1515/math-2018-0089.
Testo completoCao, Huiliang, Yingjie Zhang, Chong Shen, Yu Liu e Xinwang Wang. "Temperature Energy Influence Compensation for MEMS Vibration Gyroscope Based on RBF NN-GA-KF Method". Shock and Vibration 2018 (2 dicembre 2018): 1–10. http://dx.doi.org/10.1155/2018/2830686.
Testo completoSyrneva, Aleksandra S., Vladimir V. Chesnokov e Dimitry V. Chesnokov. "Research on Terahertz Filters Employing the Effect of Frustrated Total Internal Reflection". Key Engineering Materials 437 (maggio 2010): 281–85. http://dx.doi.org/10.4028/www.scientific.net/kem.437.281.
Testo completoLiu, Hai, Maiying Zhong e Rui Yang. "Simultaneous Disturbance Compensation and H1/H∞ Optimization In Fault Detection Of UAVs". International Journal of Applied Mathematics and Computer Science 28, n. 2 (1 giugno 2018): 349–62. http://dx.doi.org/10.2478/amcs-2018-0026.
Testo completoAltınok Uygun, Latife, e Yasemin Özden. "Comparison of the microhardness of lowviscosity bulk-fill composite resins". HEALTH SCIENCES QUARTERLY 4, n. 2 (30 aprile 2024): 137–43. http://dx.doi.org/10.26900/hsq.2282.
Testo completoTesi sul tema "H1/H∞ filter"
Mohammedi, Irryhl. "Contribution à l’estimation robuste par intervalle des systèmes multivariables LTI et LPV : Application aux systèmes aérospatiaux". Electronic Thesis or Diss., Bordeaux, 2024. http://www.theses.fr/2024BORD0142.
Testo completoThe work of this thesis aims at developing new approaches based on a new particular class of state estimators, the so-called interval or ensemble filters.Like the class of interval observers, the objective is to estimate, in a guaranteed way, the upper and lower bounds of the states of a system, at each time instant.The proposed approach is based on the theory of monotonic systems and on the knowledge of the domain of membership, supposedly bounded, of the uncertainties of the system, such as disturbances, noise and bias of sensors, etc.The key element of the proposed approach is to use a filter structure advantage, rather than an observer-based structure (relying only on a dynamic structure of the studied system).The synthesis of the filter parameters is based on the resolution of a constrained optimization problem of linear and bilinear matrix inequalities (LMI and BMI) allowing to guarantee simultaneously the existence conditions of the filter as well as a performance level, either in an energy context for LTI systems, or in an amplitude context or in a mixed energy/amplitude context for LPV systemsThe proposed synthesis methodology is illustrated on an academic example and is compared with other existing methods in the literature. Finally, the methodology is applied to the case of attitude and acceleration control of a satellite, under realistic simulation conditions