Academic literature on the topic 'Gain L2/L∞'

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Journal articles on the topic "Gain L2/L∞"

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Wang, Ge Si, Zhi Gang Yu, and Shen Min Song. "Adaptive Neural Network L2-Gain Control for Unmodeled Dynamics Nonlinear System." Key Engineering Materials 419-420 (October 2009): 561–64. http://dx.doi.org/10.4028/www.scientific.net/kem.419-420.561.

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A new control scheme is proposed for the nonlinear system with unmodeled dynamics based on HJI and adaptive neural network L2-gain controller. The aim is to make the closed-loop system a finite gain L2 stable between the disturbance and output of the system. The approach will avoid the limit of precise modelling, only need the unmodeled dynamics to be bounded without the other transcendent information. The simulation results show that the control system designed can satisfy the performance indicators proposed.
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IMURA, Junichi, Toshiharu SUGIE, and Tsuneo YOSHIKAWA. "Internal Stability and L2 Gain of Nonlinear Systems." Transactions of the Society of Instrument and Control Engineers 29, no. 6 (1993): 659–67. http://dx.doi.org/10.9746/sicetr1965.29.659.

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Ellero, Nicolas, David Gucik-Derigny, and David Henry. "An unknown input interval observer for LPV systems under L2-gain and L∞-gain criteria." Automatica 103 (May 2019): 294–301. http://dx.doi.org/10.1016/j.automatica.2019.02.012.

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Liu, Dan, Ni Hong Wang, and Gui Ying Li. "Neural Networks L2-Gain Controller Design for Nonlinear System." Key Engineering Materials 467-469 (February 2011): 1505–10. http://dx.doi.org/10.4028/www.scientific.net/kem.467-469.1505.

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This paper proposes a new method that it uses the neural network to construct the solution of the Hamiltion-Jacobi inequality (HJ), and it carries on the optimization of the neural network weight using the genetic algorithm. This method causes the Lyapunov function to satisfy the HJ, avoides solving the HJ parital differential inequality, and overcomes the difficulty which the HJ parital differential inequality analysis. Beside this, it proposes a design method of a nonlinear state feedback L2-gain disturbance rejection controller based on HJ, and introduces general structure of L2-gain distur
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Gospodarek, Janina, Abrham Endalamew, Matthew Worsdale, and Iwona B. Paśmionka. "Effects of Artemisia dracunculus L. Water Extracts on Selected Pests and Aphid Predator Coccinella septempunctata L." Agronomy 12, no. 4 (2022): 788. http://dx.doi.org/10.3390/agronomy12040788.

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The aim of this study was to determine the effects of water extracts of tarragon (Artemisia dracunculus L.) on the feeding intensity, mortality, and weight gain of selected pests, i.e., adult pea leaf weevils (Sitona lineatus L.), nymphs, wingless females of black bean aphids (Aphis fabae Scop.), and L2 and L4 larvae of Colorado potato beetle (Leptinotarsa decemlineata Say). In addition, the effect of the tarragon extracts on the voracity of the non-target organism Coccinella septempunctata L. L3 larvae was examined. To reduce S. lineatus feeding, at least 10% dry matter (DM) extract and 20% f
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Gong, Panke, Haijing Liu, Dan Gou, et al. "Optimal Dietary Carbohydrates to Lipids Ratio for Fast and Coordinated Test Growth of Juvenile Sea Urchin (Strongylocentrotus intermedius)." Fishes 10, no. 2 (2025): 57. https://doi.org/10.3390/fishes10020057.

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Rapid and coordinated test growth is crucial for maintaining the normal body shape of Strongylocentrotus intermedius juveniles. In total, 270 S. intermedius (1.19 ± 0.01 g) were randomly assigned to 18 floating cages. Three cages of sea urchins were fed kelp (Saccharina japonica) (control diet) or one of five formulated feeds with different carbohydrate-to-lipid ratios (C/L) (1, 2, 4, 8, and 16) for 90 days. The results suggested that the weight gain rate of S. intermedius fed C/L4 was markedly greater than that fed C/L1 and C/L16 except for kelp, C/L2, and C/L8. The test diameter (TD) and tes
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SASAKI, Seigo, and Kenko UCHIDA. "L2-Gain Analysis of Nonlinear Systems via Extended Quadratic Lyapunov Function." Transactions of the Society of Instrument and Control Engineers 33, no. 5 (1997): 352–58. http://dx.doi.org/10.9746/sicetr1965.33.352.

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OHTA, Yoshito, and Takashi KUNITAKE. "L2 Gain Analysis of Linear Parameter Varying Systems Based on Duality Theorem." Transactions of the Society of Instrument and Control Engineers 40, no. 2 (2004): 220–28. http://dx.doi.org/10.9746/sicetr1965.40.220.

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Zhang, Jie, Lifeng Ma, Yurong Liu, Ming Lyu, Fuad E. Alsaadi, and Yuming Bo. "H∞ and l2−l∞ finite-horizon filtering with randomly occurring gain variations and quantization effects." Applied Mathematics and Computation 298 (April 2017): 171–87. http://dx.doi.org/10.1016/j.amc.2016.11.014.

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ASAI, Toru. "Necessary and Sufficient Conditions for Analysis of L2 Gain across Switching." Transactions of the Society of Instrument and Control Engineers 41, no. 5 (2005): 437–43. http://dx.doi.org/10.9746/sicetr1965.41.437.

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Dissertations / Theses on the topic "Gain L2/L∞"

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Ellero, Nicolas. "Synthèse d’observateurs intervalles à entrées inconnues pour les systèmes linéaires à paramètres variants." Thesis, Bordeaux, 2018. http://www.theses.fr/2018BORD0106/document.

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Cette thèse porte sur la conception d’une classe particulière d’estimateurs d'état, les observateurs intervalles. L’objectif est d’estimer de manière garantie, les bornes supérieure et inférieure de l’ensemble admissible de l'état d’un système, à chaque instant de temps. L’approche considérée repose sur la connaissance a priori du domaine d’appartenance, supposé borné, des incertitudes du système (incertitudes de modélisation, perturbations, bruits, etc). Une classe d'observateurs intervalles à entrées inconnues est proposée pour la classe des systèmes Linéaires à Paramètres Variants (LPV). La
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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.

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Les travaux présentés dans ce mémoire de thèse visent à développer de nouvelles approches basées sur une nouvelle classe particulière d’estimateurs d´état : les filtres dits par intervalles. Tout comme la classe des observateurs intervalles, l’objectif est d’estimer les bornes supérieures et inférieures des états d’un système, à chaque instant de temps. L’approche proposée repose sur la théorie des systèmes monotones et sur la connaissance a priori du domaine d’appartenance, supposé borné, des incertitudes de modèle et des entrées exogènes (perturbations, bruit de mesure, etc). L’élément clé d
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Book chapters on the topic "Gain L2/L∞"

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van der Schaft, Arjan. "$$L_2$$ L 2 -Gain and the Small-Gain Theorem." In L2-Gain and Passivity Techniques in Nonlinear Control. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-49992-5_8.

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Conference papers on the topic "Gain L2/L∞"

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Zhou, Bin, Zhao-Yan Li, and Zongli Lin. "Discrete-time l∞ and l2 norm vanishment and low gain feedback with their applications in constrained control." In 2012 24th Chinese Control and Decision Conference (CCDC). IEEE, 2012. http://dx.doi.org/10.1109/ccdc.2012.6243053.

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Mailhot, S., N. McCarthy, and Y. Champagne. "Enhanced lateral-mode selectivity of a broad-area semiconductor laser with an external cavity." In The European Conference on Lasers and Electro-Optics. Optica Publishing Group, 1994. http://dx.doi.org/10.1364/cleo_europe.1994.ctup2.

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External-cavity schemes have been recognized as efficient ways for controlling the lateral-mode content of the output beam emitted from high-power broad-area (BA) semiconductor lasers.1,2 The external cavity can act as a mode-selecting device provided that the beam fed back into the BA laser is allowed to be wider than that of the free-running BA laser. Due to the limited lateral dimension of the gain medium, a wider beam is expected to experience higher losses, so that the fundamental lateral mode will be favored, compared to the higher-order lateral modes having larger sizes. We have investi
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Lyu, Xiaocong, Xue Qin, Denis Voskov, Huiqing Liu, and Jing Wang. "Self-Adaptive Physics-Informed Neural Networks for CO2 Immiscible Flooding in Low-Permeability Oil Reservoirs." In SPE Reservoir Simulation Conference. SPE, 2025. https://doi.org/10.2118/223838-ms.

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Abstract Physics-Informed Neural Networks (PINNs) gains attentions as a promising approach for applying deep neural networks to the numerical solution of nonlinear partial differential equations (PDEs). However, due to the challenging regions within the solutions of ‘stiff’ PDEs, e.g., shock front of CO2 immiscible flooding, adaptive methods are essential to ensure the neural network accurately addresses these issues. In this work, we introduce a novel method for adaptively training PINNs, named Self-Adaptive PINNs (SA-PINNs). This approach employs fully trainable adaptation weights that are a
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