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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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Angga Wahyu Aaditya, Dedid Cahya Happyanto, Bambang Sumantri
Pág. 255 - 269
Indirect Field Oriented Control (IFOC) is one of the vector control methods that can be applied to induction motor in the industrial world rather than Direct Field Oriented Control (DFOC) because of the flux is obtained from the formulation. However, IFO...
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Loïck Degorre, Emmanuel Delaleau and Olivier Chocron
With the increasing number of applications for both surface and underwater autonomous vehicles, a great amount of control methods and guidance principles has been developed over the years. This work proposes a review of the most common of these methods. ...
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Philipp Maximilian Sieberg and Dieter Schramm
This contribution presents a central predictive control of the vehicle dynamics regarding the roll, self-steering and pitch behavior.
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Martin Goubej, Jana Königsmarková, Ronald Kampinga, Jakko Nieuwenkamp and Stéphane Paquay
The paper deals with development of a methodology for mechatronic system design using state-of-the-art model-based system engineering methods. A simple flexible robotic arm is considered as a benchmark problem for the evaluation of various techniques use...
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Pawel D. Domanski
Model Predictive Control constitutes an important element of any modern control system. There is growing interest in this technology. More and more advanced predictive structures have been implemented. The first applications were in chemical engineering,...
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Youssef Karout, Axel Curcio, Julien Eynard, Stéphane Thil, Sylvain Rodat, Stéphane Abanades, Valéry Vuillerme and Stéphane Grieu
The present paper deals with both the modeling and the dynamic control of a solar hybrid thermochemical reactor designed to produce syngas through the high-temperature steam gasification of biomass. First, a model of the reactor based on the thermodynami...
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Ramon Barber, David R. Rosa, Antonio Flores-Caballero and Santiago Garrido
Mechatronics control and control engineering.
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Xingtao Tang, Xiaodong Sun and Ming Yao
Accurate real-time rotor position is indispensable for switched reluctance motors (SRM) speed and torque control. Traditional position sensors add complexity and potential failure risk to the system. Owing to the added advantages of high stability and lo...
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Muhammad Tallal Saeed, Jahan Zeb Gul, Zareena Kausar, Asif Mahmood Mughal, Zia Mohy Ud Din and Shiyin Qin
Precise and accurate lower limb rehabilitation in the form of locomotion assistance and gait training through robust control of robotic exoskeletons.
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Gyula Simon and László Sujbert
Despite the enormous technical progress seen in the past few years, the maturity of indoor localization technologies has not yet reached the level of GNSS solutions. The 23 selected papers in this special issue present recent advances and new development...
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Rómulo Antão, José Antunes, Alexandre Mota and Rui Escadas Martins
The present paper proposes an approach for the development of a non-linear model-based predictive controller (NMPC) using a non-linear process model based on Artificial Neural Networks (ANNs). This work exploits recent trends on ANN literature using a Te...
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Jaroslav Homi?in, Peter Ka??ay, Matej Urbanský, Michal Pu?kár, Robert Grega and Jozef Krajnák
Currently, great emphasis on reducing energy consumption and harmful emissions of internal combustion engines is placed. Current control technology allows us to customize the operating mode according to the currently required output parameters, while the...
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This paper deals with a methodical design approach of fault-tolerant controller that gives assurance for the the stabilization and acceptable control performance of the nonlinear systems which can be described by Takagi–Sugeno (T–S) fuzzy mod...
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Renguo Yang, Yadong Gao, Huaming Wang and Xianping Ni
In order to further reduce the vibration level of helicopters, the active vibration control technology of helicopters has been extensively studied. Among them, individual blade control (IBC) independently applies high-order harmonics to each blade with a...
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Weiguang Zheng, Quanfu Geng, Xiaohong Xu and Zhixiang Liu
The permanent-magnet synchronous motor (PMSM), with the advantages of low energy consumption and stable operation, is considered a green power source to replace gasoline engines. Motor control is the core problem of the electric-drive system, so it is im...
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Wenbo Gao, Muxuan Pan, Wenxiang Zhou, Feng Lu and Jin-Quan Huang
Due to the strong representation ability and capability of learning from data measurements, deep reinforcement learning has emerged as a powerful control method, especially for nonlinear systems, such as the aero-engine control system. In this paper, a n...
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Hao Wang, Jinan Zhu and Bao Gu
In the modern world, the extremely rapid growth of traffic demand has become a major problem for urban traffic development. Continuous optimization of signal control systems is an important way to relieve traffic pressure in cities. In recent years, with...
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Jiqing Du, Dan Zhou, Wei Wang and Sachiyo Arai
The Deep Reinforcement Learning (DRL) algorithm is an optimal control method with generalization capacity for complex nonlinear coupled systems. However, the DRL agent maintains control command saturation and response overshoot to achieve the fastest res...
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Christian Camacho, Hernan Alvarez, Jorge Espin and Oscar Camacho
This paper presents a dynamic sliding mode control (DSMC) for open-loop unstable chemical or biochemical processes with a time delay. The controller is based on the sliding mode and internal model control concepts. The proposed DSMC has an internal P/PD ...
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