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Intelligent Control: A Taxonomy [PDF]
2019 8th International Conference on Systems and Control (ICSC), 2019 In this paper we highlight the stages of development towards intelligent control and define it based on literature. Furthermore, we propose a novel taxonomy of intelligent control methods which categorises these based on their level of uncertainty in three areas: the environment, the control system, and the goals.
Wilson, Callum +4 more
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Research on digital education teaching reform under the mode of “equal emphasis on teaching” [PDF]
SHS Web of Conferences, 2023 In response to the requirements of “accelerating the construction of an educational power and promoting the digitalization of education” pointed out by the 20th National Congress, this paper explores the teaching reform of teaching content, teaching ...
Dong Huiling +3 more
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Advances in Intelligent Vehicle Control [PDF]
, 2022 Advanced intelligent vehicle control systems have evolved in the last few decades thanks to the use of artificial-intelligence-based techniques, the appearance of new sensors, and the development of technology necessary for their implementation [...
Cabrera, Juan A. +2 more
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Progress and application of intelligent fluid supply technology in working face
Meitan kexue jishu, 2022 Intelligent fluid supply technology in working face is one of the core technologies of intelligent mining. In order to solve the requirements of high data transmission rate, high transmission stability and high data processing ability in the intelligent ...
Ran LI +11 more
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Intelligent Controller Design by the Artificial Intelligence Methods [PDF]
Sensors, 2020 With the rapid growth of sensor networks and the enormous, fast-growing volumes of data collected from these sensors, there is a question relating to the way it will be used, and not only collected and analyzed. The data from these sensors are traditionally used for controlling and influencing the states and processes.
Jana Nowaková, Miroslav Pokorný
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Classifying Intelligence in Machines: A Taxonomy of Intelligent Control [PDF]
Robotics, 2020 The quest to create machines that can solve problems as humans do leads us to intelligent control. This field encompasses control systems that can adapt to changes and learn to improve their actions—traits typically associated with human intelligence. In this work we seek to determine how intelligent these classes of control systems are by quantifying ...
Wilson, Callum +4 more
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Advanced Intelligent Control through Versatile Intelligent Portable Platforms [PDF]
, 2020 Deep research and communicating new trends in the design, control and applications of the real time control of intelligent sensors systems using advanced intelligent control methods and techniques is the main purpose of this research.
Luige Vladareanu
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Scientific Reports, 2022 For the airborne pod strapdown inertial navigation system, it is necessary to use the host aircraft's inertial navigation system for the transfer alignment as quickly and accurately as possible in the flight process of the aircraft.
Weina Chen +4 more
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Consideration of Thermo-Vacuum Stability of a MEMS Gyroscope for Space Applications
Sensors, 2020 Thermo-vacuum stability of the aerospace gyroscopes is one of the crucial issues in the harsh and remote environment of space. This paper reports a bias drift compensation algorithm for the MEMS (microelectromechanical systems) gyroscope with atmosphere ...
Jili Liu +6 more
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Frontiers in Neurorobotics, 2021 Gait phase classification is important for rehabilitation training in patients with lower extremity motor dysfunction. Classification accuracy of the gait phase also directly affects the effect and rehabilitation training cycle.
Yuepeng Zhang +7 more
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