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En Lu, Jialin Xue, Tiaotiao Chen and Song Jiang
This paper discusses the robust trajectory tracking control of an autonomous tractor-trailer in agricultural applications. Firstly, considering the model parameter uncertainties and various disturbances, the kinematic and dynamic models of the autonomous...
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A. Otmane Cherif
Pág. 24 - 30
Shimmy vibration is a very important common phenomenon in the landing gear system during either the take-off or landing of an aircraft. Shimmy vibration is the lateral and torsional vibrations in the wheel of the aircraft that is self-excited and causes ...
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Lingli Yu and Zhengjiu Wang
This work is used for multi-robot autonomous systems.
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Federico Mothes
The avoidance of adverse weather is an inevitable safety-relevant task in aviation. Automated avoidance can help to improve safety and reduce costs in manned and unmanned aviation. For this purpose, a straightforward trajectory planner for a single-sourc...
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Bence Czakó and Levente Kovács
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Weiwei Qi, Mingbo Tong, Qi Wang, Wei Song and Hunan Ying
In this research, the design of a robust curved-line path-following control system for fixed-wing unmanned aerial vehicles (FWUAVs) affected by uncertainties on the latitude plane is studied. This is undertaken to enhance closed-loop system robustness un...
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Timothy Sands
Objects that possess mass (e.g., automobiles, manufactured items, etc.) translationally accelerate in direct proportion to the force applied scaled by the object?s mass in accordance with Newton?s Law, while the rotational companion is Euler?s moment equ...
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Zhenya Ji, Xueliang Huang, Changfu Xu and Houtao Sun
A microgrid with an advanced energy management approach is a feasible solution for accommodating the development of distributed generators (DGs) and electric vehicles (EVs). At the primary stage of development, the total number of EVs in a microgrid is f...
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Cihan Ates, Dogan Bicat, Radoslav Yankov, Joel Arweiler, Rainer Koch and Hans-Jörg Bauer
In this study, we propose a population-based, data-driven intelligent controller that leverages neural-network-based digital twins for hypothesis testing. Initially, a diverse set of control laws is generated using genetic programming with the digital tw...
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Weilin Yang, Tianjing Shen, Tinglong Pan, Guanyang Hu and Dezhi Xu
In this paper, the consensus control of unmanned surface vehicles (USVs) is investigated by employing a distributed model predictive control approach. A hierarchical control structure is considered during the controller design, where the upper layer dete...
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Ali S. Haider, Kush Bubbar and Alan McCall
Achieving energy maximizing control of a Wave Energy Converter (WEC) not only needs a comprehensive dynamic model of the system?including nonlinear hydrodynamic effects and nonlinear characteristics of Power Take-Off (PTO)?but to treat the entire system ...
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Yanpeng Hu, Jin Guo, Pei Ying, Guannan Zeng and Nanyu Chen
This paper explores a novel single tail tilt servomotor tri-rotor ducted vertical takeoff and landing unmanned aerial vehicle system (VTOL-UAV), and proposes a compound control method combining disturbance observer, model predictive control (MPC) and sli...
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Jiyu Xia and Zhou Zhou
The transition flight of tilt-propulsion UAV is a complex and time-varying process, which leads to great challenges in the design of a stable and robust controller. This work presents a unified model predictive controller, which can handle the full envel...
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Ioana Nascu, Ioan Nascu, Grigore Vlad
Pág. 38 - 40
This paper presents an application regarding a model based predictive adaptive controller used to improve the effluent quality of a conventionalactivated sludge wastewater treatment process. The adaptive control scheme consists of two modules: a rob...
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The editor of this special issue on “Intelligent Control in Energy Systems” have made an attempt to publish a book containing original technical articles addressing various elements of intelligent control in energy systems. The response to ou...
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Rolando Gonzales Martínez
An analytical Bayesian approach to seasonal analysis is proposed, using robust priors to control for extreme observations. Seasonal fan charts were estimated with Bayesian predictive densities. Empirical applications to U.S. residential electricity consu...
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Alexander Scheinker
Machine learning (ML) is growing in popularity for various particle accelerator applications including anomaly detection such as faulty beam position monitor or RF fault identification, for non-invasive diagnostics, and for creating surrogate models. ML ...
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Gökçen Uysal, Rodolfo Alvarado-Montero, Dirk Schwanenberg and Aynur Sensoy
Optimal control of reservoirs is a challenging task due to conflicting objectives, complex system structure, and uncertainties in the system. Real time control decisions suffer from streamflow forecast uncertainty. This study aims to use Probabilistic St...
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Gökçen Uysal, Rodolfo Alvarado-Montero, Dirk Schwanenberg and Aynur Sensoy
Optimal control of reservoirs is a challenging task due to conflicting objectives, complex system structure, and uncertainties in the system. Real time control decisions suffer from streamflow forecast uncertainty. This study aims to use Probabilistic St...
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Tzu-Jui Lin and Karl A. Stol
Modern plantation forest procedures still rely heavily on manual data acquisition in the inventory process, limiting the quantity and quality of the collected data. This limitation in collection performance is often due to the difficulty of traversing th...
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