scholarly journals Artificial intelligence control of a turbulent jet

2020 ◽  
Vol 897 ◽  
Author(s):  
Yu Zhou ◽  
Dewei Fan ◽  
Bingfu Zhang ◽  
Ruiying Li ◽  
Bernd R. Noack

MRS Bulletin ◽  
2019 ◽  
Vol 44 (7) ◽  
pp. 538-544 ◽  
Author(s):  
Carla P. Gomes ◽  
Bart Selman ◽  
John M. Gregoire

Abstract


Author(s):  
Alexander Aryskin ◽  
Oleg Davydov ◽  
Stanislav Eprikov ◽  
Alexander Ksenzenko ◽  
Valentin Pryanichnikov ◽  
...  

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 197939-197954
Author(s):  
Alessandro Massaro ◽  
Michele Gargaro ◽  
Giovanni Dipierro ◽  
Angelo Maurizio Galiano ◽  
Simone Buonopane

Author(s):  
Xiaowei Xiong

In this paper, the artificial intelligence control algorithm for steering robot of steering wheel is studied. The steering movement of wheeled soccer robot is controlled by artificial intelligence control algorithm, and the steering movement is modeled and simulated. Firstly, the characteristics of artificial neurons are simulated and a similar control model is constructed to complete the simulation of football. The artificial intelligence control algorithm has a dynamic feedback item compared with the traditional intelligent model, which has a better effect on the steering control of the wheeled soccer robot. In this paper, artificial intelligence control algorithm is used to optimize the parameters of artificial intelligence control algorithm, and the output of control signal of each steering part of wheeled soccer robot is simulated in the experiment, and the control of the steering action of wheeled soccer robot by artificial intelligence control algorithm is verified by experiments. Then the artificial intelligence control algorithm forms the connection structure. This method provides a good reference for steering control of wheeled soccer robots.


2012 ◽  
Vol 214 ◽  
pp. 640-643
Author(s):  
Xin Xiong ◽  
Chao Dong Lu

The traditional control system can not meet the more complex control tasks of the problem, using artificial intelligence control method of imitation, artificial intelligence control system on the overall structure of the design, and given the specific control algorithms. System relies on accurately identify the various features of the error and make the appropriate decisions to multiplexing, open, closed loop control mode of combining control and solve the complex control of the process of identification, decision-making and control problems and achieve A unified identification control.


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