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Tianlei Fu, Lianwu Guan, Yanbin Gao and Chao Qin
This paper investigates an anticipatory activation anti-windup approach based on Linear Active Disturbance Rejection Control (LADRC) to address the influences of accelerated saturation on the actuators in a Miniaturized Inertial Stabilized Platform (MISP...
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Yankai Li, Yulong Huang, Dongping Li, Yuan Sun, Han Liu and Yongze Jin
In this paper, we propose an output feedback flight tracking control scheme for helicopter attitude and altitude systems with unmeasured states under full state constraints. Firstly, a state observer is constructed based on the measured output signals, w...
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Yudong Hu, Changsheng Gao and Wuxing Jing
Aimed at joint state and parameter estimation problems in hypersonic glide vehicle defense, a novel moving horizon estimation algorithm via Carleman linearization is developed in this paper. First, the maneuver characteristic parameters that reflect the ...
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Yuhao Jing, Yang Wu, Jiwei Tang, Pingfang Zhou and Dengping Duan
The contribution of this paper is the proposal of a new receding horizon trajectory generation method for stratospheric airships? return phase. Since the energy consumption, wind field and path constraints are restrictions during the return phase of airs...
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Binbin Zhou, Suzhen Feng, Zifan Xu, Yan Jiang, Youxiang Wang, Kai Chen and Jinwen Wang
A monthly hydropower scheduling determines the monthly flows, storage, and power generation of each reservoir/hydropower plant over a planning horizon to maximize the total revenue or minimize the total operational cost. The problem is typically a comple...
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Favourate Y. Mpofu
Owing to the Fourth Industrial revolution and digital transformation, the digital economy has grown substantially globally and in Africa. Despite the positive outcomes such as advancements in technology, improvements in business models and expansion in d...
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Boer Cui, Genevieve Boisjoly, Bernardo Serra, Ahmed El-Geneidy
Pág. 1?15
In the context of increasing urbanization and income inequality, transport professionals in the Global South need to be prepared to effectively plan for the needs of various groups within the population, particularly for those regarding health and well-b...
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Nam H. Kim, Ting Dong, David Weinberg and Jonas Dalidd
In this article, a generalized optimality criteria method is proposed for topology optimization with arbitrary objective function and multiple inequality constraints. This algorithm uses sensitivity information to update both the Lagrange multipliers and...
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Shih-Cheng Horng and Shieh-Shing Lin
The stochastic inequality constrained optimization problems (SICOPs) consider the problems of optimizing an objective function involving stochastic inequality constraints. The SICOPs belong to a category of NP-hard problems in terms of computational comp...
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Yanbo Wang, Fasheng Wang, Jianjun He and Fuming Sun
The particle filter method is a basic tool for inference on nonlinear partially observed Markov process models. Recently, it has been applied to solve constrained nonlinear filtering problems. Incorporating constraints could improve the state estimation ...
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