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Xufei Yan, Ye Yuan and Renliang Chen
This paper studies the pilot control strategy and workload of a tilt-rotor aircraft dynamic conversion procedure between helicopter mode and fixed-wing mode. A nonlinear flight dynamics model of tilt-rotor aircraft with full flight modes is established. ...
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Nuno M. B. Matos and Andre C. Marta
A coupled aerostructural aircraft design and trajectory optimization framework is developed for the Air Cargo Challenge competition to maximize the expected score based on cargo carried, altitude achieved and distance traveled. Its modular architecture m...
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Guglielmo Papini, Francisco Javier Dores Piuma, Nicolás Faedo, John V. Ringwood and Giuliana Mattiazzo
This paper presents a data-driven model reduction by moment-matching approach to construct control-oriented models for a point absorber device. The methodology chosen and developed generates models which are input-to-state linear, with any nonlinear beha...
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Manuel Pusch, Daniel Ossmann and Tamás Luspay
The model-based flight control system design for a highly flexible flutter demonstrator, developed in the European FLEXOP project, is presented. The flight control system includes a baseline controller to operate the aircraft fully autonomously and a flu...
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Xiaogang Guo, Zhejing Bao, Zhijie Li and Wenjun Yan
In this paper, an adaptively constrained stochastic model predictive control (MPC) is proposed to achieve less-conservative coordination between energy storage units and uncertain renewable energy sources (RESs) in a microgrid (MG). Besides the economic ...
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Noryanti Nasir,Mohd Ismail Abd Aziz,Amir Syafiq Amir Hamzah
The stability analysis of the logistic growth model is a norm in plantation and eco-biological environment. It can be ecologically stable and sustained in a long run. However, any additional variation to the model may fluctuate the economy over time. An ...
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Jian Wen, Fabien Leurent, Xiaoyan Xie
Pág. 65 - 74
Control strategies are of crucial importance in operations of saturated transit lines. At a given bottleneck, delay propagates due to an excess of demand over supply. Operators therefore use optimal strategies (e.g. holding, fast-running, train-canceling...
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Debarghya Ghosh and Simone Baldi
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Daniel Sarabia, María Cruz Ortiz and Luis Antonio Sarabia
In this paper, an integrated design of a supermarket refrigeration system has been used to obtain a process with better operability. It is formulated as a multi-objective optimization problem where control performance is evaluated by six indices and the ...
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Chongxun Mo, Shutan Zhao, Yuli Ruan, Siyi Liu, Xingbi Lei, Shufeng Lai, Guikai Sun and Zhenxiang Xing
In order to solve the problem that the existing optimal operation model of reservoirs cannot coordinate the contradiction between long-term and short-term benefits, the paper nested the long-term optimal operation and mid-long-term optimal operations of ...
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Kota Mori and Masaki Takahashi
This paper proposes a nonlinear control method for carrying out Minimum-time satellite attitude maneuver and antenna motion which have robustness against model uncertainty. In recent years, small Earth observation satellites have been utilized and expect...
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Jinghua Li, Ruipu Dong and Wenhao Huang
In cruise ship manufacturing, it is common practice for prefabricated modular cabin units (PMCU) to be assembled in the workshop and transported to a designated installation location on board the ship. This paper proposed a Radau pseudospectral method ba...
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Ishaq Hafez and Rached Dhaouadi
This study presents hybrid particle swarm optimization with quasi-Newton (HPSO-QN), a hybrid optimization method for accurately identifying mechanical parameters in two-mass model (2MM) systems. These systems are commonly used to model and control high-p...
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Ismaila A. Oyehan, Ajiboye S. Osunleke and Olanrewaju O. Ajani
The dynamics of a quadruple tank system (QTS) represent an extensive class of multivariate nonlinear uncertain systems found in the industry. It has been established that changes in split fractions affect the transmission zero location, thereby altering ...
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Jihwan Kim, Ung Jon and Hyeongcheol Lee
In this paper, we propose an analytic solution of state-constrained optimal tracking control problems for continuous-time linear time-invariant (CT-LTI) systems that are based on model-based prediction, the quadratic penalty function, and the variational...
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Nay Myo Lin, Martine Rutten and Xin Tian
Managing a multi-reservoir system is complicated, due to conflicting interests among various objectives. This study proposes an optimization-based approach for the operations of a multi-reservoir system. An advanced real-time control technique, Model Pre...
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Fernando Arrocha, Mauricio G. Villena
Pág. 489 - 504
F. Arrocha, and M.G. Villena. 2012. Applying a bioeconomic optimal control model to charcoal production: the case of slash-and-burn agriculture in Mexico. Cien. Inv. Agr. 39(3): 489-504. This paper analyzes the relationship between rural poverty and fore...
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Pei-Ching Chen and Kai-Yi Chien
In recent years, optimal control which minimizes a cost function formulated by weighted states and control inputs has been applied to the seismic control of structures. Optimal control requires structural states which may not be available in real applica...
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Yikang Rui, Shu Wang, Renfei Wu and Zhe Shen
Automated truck platooning has become an increasingly popular research subject, and its applicability to highways is considered one of the earliest possible landing scenarios for automated driving. However, there is a lack of research regarding the combi...
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Liyun Gong, Miao Yu and Stefanos Kollias
In this study, we present a novel smart greenhouse control algorithm that optimizes crop yield while minimizing energy consumption costs. To achieve this, we relied on both a greenhouse climate model and a greenhouse crop yield model. Our approach involv...
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