Attitude control of microsatellite by Luo, Wencheng

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APPLICATION OF METHODS OF COMPUTATIONAL INTELLIGENCE FOR SOLVING DIRECT TASKS OF DESIGN CALCULATION OF DIMENSIONAL CHAINS UNDER CONDITIONS OF PARAMETRIC A PRIORI UNCERTAINTY by Е. С. Меняйлов, Е. М. Угрюмова, С. В. Черныш, А. П. Мазурков, М. Л. Угрюмов, А. Н. Хусточка

“…Results of the solution of a problem robust optimal designing of centrifugal impeller fitted with backward curved blades in the conditions of stochastic nature of the input data, the decision-making supports got by means of interactive computer system «Concept_Pro_St®» are presented…”
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Robust Control of An Inverted Pendulum System Based on Policy Iteration in Reinforcement Learning by Yan Ma, Dengguo Xu, Jiashun Huang, Yahui Li

“…Second, based on the theory of robust optimal control, the robust control of the uncertain linear inverted pendulum system is transformed into an optimal control problem with an appropriate performance index. …”
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Heuristic techniques for the design of ultra wideband antenna by Zhang, Zhan.

“…The efforts made in this thesis are dedicated to paving the way for a robust optimized design of a UWB antenna system. Since a basic design procedure is completed by four key ingredients: input model, characterization, evaluation and then optimization, all of them are in the scope of our study while special emphases are paid on the methods for characterization and optimization.…”
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Optimal Robust Controller Design for Heartbeat System by Amjad J. Humaidi, Kadhim Yakoob Yousif, Ruaa Muayad AL Wardie

“…The approach key is to reflect the uncertainty bound in the cost function, and the solution to the optimal control problem is a solution to the robust control problem. The robust optimal control strategy is applied for nonlinear heart system; different structures of uncertainties have been sought. …”
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Robust phase-controlled gates for scalable atomic quantum processors using optical standing waves by Shannon Whitlock

“…The scheme is compatible with robust optimal control techniques and spatial qubit addressing in atomic arrays to realize phase controlled operations without the need for tight focusing and precise positioning of the control lasers. …”
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Modelling and robust control of a flexible beam Quanser experiment by Eugen Bobasu, Dan Popescu, Dorin Sendrescu

“…In this paper, the robust optimal model matching control design method is applied to a flexible beam Quanser experiment. …”
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A Fault Tolerant Approach to Anti-windup Gain Implementation by Wilber Acuña-Bravo, Addison Ríos-Bolívar

“…Fault detection filters design is done, by means of robust optimal control in H2/H[1] techniques, based on linear matrix inequalities. …”
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Robust stabilization of nonlinear systems via normalized coprime factor representations by Anderson, B, James, MR, Limebeer, D

“…We use this theory to generalize the linear theory of normalized coprime factor robustness optimization to the case of affine input nonlinear systems. …”

Modeling and Speed Tuning of a PMSM with Presence of Fissure Using Dragonfly Algorithm by Omar Aguilar-Mejía, Abraham Manilla-García, Ivan Rivas-Cambero, Hertwin Minor-Popocatl

“…This paper presents a robust trajectory tracking control for a Permanent Magnet Synchronous Motor (PMSM) with consideration a fault, parametric uncertainties and external disturbances by effectively integrating robust optimal linear quadratic control. One kind of fault is considered in the machine, particularly the presence of fissure rotor. …”
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Recent Advances in Harris Hawks Optimization: A Comparative Study and Applications by Abdelazim G. Hussien, Laith Abualigah, Raed Abu Zitar, Fatma A. Hashim, Mohamed Amin, Abeer Saber, Khaled H. Almotairi, Amir H. Gandomi

“…In this review research, we focused on the applications and developments of the recent well-established robust optimizer Harris hawk optimizer (HHO) as one of the most popular swarm-based techniques of 2020. …”
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KaIDA: a modular tool for assisting image annotation in deep learning by Schilling Marcel P., Schmelzer Svenja, Klinger Lukas, Reischl Markus

“…Deep learning models achieve high-quality results in image processing. However, to robustly optimize parameters of deep neural networks, large annotated datasets are needed. …”
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Algorithmic trading with model uncertainty by Cartea, A, Donnelly, R, Jaimungal, S

“…We provide analytical solutions for the robust optimal strategies, show that the resulting dynamic programming equations have classical solutions, and provide a proof of verification. …”

Adaptive Optimal Control of CVCF Inverters With Uncertain Load: An Adaptive Dynamic Programming Approach by Zhongyang Wang, Yunjun Yu

“…Different from existing literature, the load is treated as a dynamic uncertainty and a robust optimal state-feedback controller is proposed. …”
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Large-Scale Expensive Optimization with a Switching Strategy by Mai Sun, Chaoli Sun, Xiaobo Li, Guochen Zhang, Farooq Akhtar

“…Some optimization problems in scientific research, such as the robustness optimization for the Internet of Things and the neural architecture search, are large-scale in decision space and expensive for objective evaluation. …”
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Recurrent neural network based optimal integral sliding mode tracking control for four‐wheel independently driven robots by Xiaolong Zhang, Yu Huang, Youmin Rong, Gen Li, Hui Wang, Chao Liu

“…Abstract This paper investigates robust path tracking issue of the four‐wheel independent driven robot (FWIDR) under time‐varying system uncertainties and unavoidable external disturbances. A robust optimal integral sliding mode tracking control (OISMTC) scheme based on double feedback recurrent neural network (DFRNN) is proposed for the FWIDR system. …”
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Robust Collision Avoidance via Sliding Control by Lopez, Brett T., Slotine, Jean-Jacques E, How, Jonathan P.

“…Keywords: Trajectory; Electron tubes; Uncertainty; Robustness; Optimization; Adaptation models…”
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Big Five Personality Assessment Using KNN method with RoBERTA by Athirah Rifdha Aryani, Erwin Budi Setiawan

“…Other features such as LIWC (Linguistic Inquiry Word Count), Information Gain, Robustly Optimized BERT Approach (RoBERTa), and hyperparameter tuning can improve the performance of the systems we build. …”
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A novel robust iterated CKF for GNSS/SINS integrated navigation applications by Junwei Wang, Xiyuan Chen, Chunfeng Shi

“…An effective solution that employs a novel iterative sigma-point structure with a modified robustness optimization approach for enhancing the error compensation effectiveness and robustness of filters utilized in GNSS challenge conditions is proposed in this paper. …”
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AeroSandbox: A Differentiable Framework for Aircraft Design Optimization by Sharpe, Peter

“…By combining these efficient gradient calculations with robust optimizers such as IPOPT, multidisciplinary aircraft design problems of practical interest can be solved in seconds. …”
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