Comment on "Minimum Control Power for VTOL Aircraft Stability Augmentation"

1971 ◽  
Vol 8 (4) ◽  
pp. 0288a-0288a
Author(s):  
H. C. CURTISS
Keyword(s):  
Control Power ◽  
Stability Augmentation ◽  
Vtol Aircraft

Control Inceptor Design for Onboard Piloted Transition VTOL Aircraft Considering Simplified Vehicle Operation

2021 ◽  
Author(s):  
Daniel Dollinger ◽  
Philipp Reiss ◽  
Jorg Angelov ◽  
David Löbl ◽  
Florian Holzapfel
Keyword(s):  
Vehicle Operation ◽  
Vtol Aircraft

scholarly journals Integrated Process Control‐Power Management System Design and Flight Performance Tests for Fuel Cell Powered Mini‐Unmanned Aerial Vehicle

2021 ◽  
Vol 9 (3) ◽  
pp. 2170031
Author(s):  
Betül Erdör Türk ◽  
Mustafa Hadi Sarul ◽  
Ekrem Çengelci ◽  
Çiğdem İyigün Karadağ ◽  
Fatma Gül Boyacı San ◽  
...  
Keyword(s):  
Fuel Cell ◽  
System Design ◽  
Power Management ◽  
Unmanned Aerial Vehicle ◽  
Flight Performance ◽  
Performance Tests ◽  
Integrated Process ◽  
Control Power ◽  
Aerial Vehicle ◽  
Power Management System

scholarly journals Nodes with the highest control power play an important role at the final level of cooperation in directed networks

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Ali Ebrahimi ◽  
Marzieh Yousefi ◽  
Farhad Shahbazi ◽  
Mohammad Ali Sheikh Beig Goharrizi ◽  
Ali Masoudi-Nejad
Keyword(s):  
Free Rider ◽  
The Other ◽  
Public Goods Game ◽  
The Public ◽  
Free Riders ◽  
Control Power ◽  
Final Level ◽  
Input Signals ◽  
Tumoral Cells ◽  
Power Play

AbstractControllability of complex networks aims to seek the lowest number of nodes (the driver nodes) that can control all the nodes by receiving the input signals. The concept of control centrality is used to determine the power of each node to control the network. The more a node controls the nodes through connections in the network, the more it has the power to control. Although the cooperative and free-rider strategies and the final level of cooperation in a population are considered and studied in the public goods game. However, it is yet to determine a solution to indicate the effectiveness of each member in changing the strategies of the other members. In a network, the choice of nodes effective in changing the other nodes’ strategies, as free-riders, will lead to lower cooperation and vice versa. This paper uses simulated and real networks to investigate that the nodes with the highest control power are more effective than the hubs, local, and random nodes in changing the strategies of the other nodes and the final level of cooperation. Results indicate that the nodes with the highest control power as free-riders, compared to the other sets being under consideration, can lead to a lower level of cooperation and are, therefore, more effective in changing the strategies of the other nodes. The obtained results can be considered in the treatment of cancer. So that, destroying the tumoral cells with the highest control power should be a priority as these cells have a higher capability to change the strategies of the other cells from cooperators to free-riders (healthy to tumoral).

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