Academic literature on the topic 'Gain L2/L∞'
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Journal articles on the topic "Gain L2/L∞"
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.
Full textIMURA, 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.
Full textEllero, 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.
Full textLiu, 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.
Full textGospodarek, 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.
Full textGong, 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.
Full textSASAKI, 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.
Full textOHTA, 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.
Full textZhang, 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.
Full textASAI, 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.
Full textDissertations / Theses on the topic "Gain L2/L∞"
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.
Full textMohammedi, 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.
Full textBook chapters on the topic "Gain L2/L∞"
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.
Full textConference papers on the topic "Gain L2/L∞"
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.
Full textMailhot, 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.
Full textLyu, 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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