Advanced air traffic automation: A case study in distributed decentralized control

2005 ◽  
pp. 261-295 ◽  
Author(s):  
Claire J. Tomlin ◽  
George J. Pappas ◽  
Jana Košecká ◽  
John Lygeros ◽  
Shankar S. Sastry
Keyword(s):  
Decentralized Control ◽  
Air Traffic

A Review- Risk Assessment of Runway Overrun Incursion

2021 ◽  
pp. 455-458
Author(s):  
Priyanka Peter ◽  
Prof. Vaibhav S. Umap
Keyword(s):  
Risk Assessment ◽  
Traffic Control ◽  
Air Traffic Control ◽  
Air Traffic ◽  
The Body ◽  
High Rise ◽  
Body Of Knowledge ◽  
Mechanical Faults ◽  
Runway Incursion

Aviation crashes all over the world have recently been on the high rise, stemming from negligence, mechanical faults, weather, ground control errors, pilot errors, taxing and maintenance crew errors as are probable reasons for such accidents. This case study models the probabilistic risk assessment of runway incursion data endeavored to determine the correlation in between the reported incursions that occurred at Nagpur airport between fiscal years 2005 and 2015 and the meteorological conditions, times of day, and presence of an air traffic control tower of Nagpur Airport. With runway incursions long-plaguing the safety of aviators, their passengers, and aviation refining the body of knowledge underpinning incursions coupled with ongoing prevention efforts aspire to diminish the annual incidence of incursions, increase safety, and save lives. In accordance with this mission, mining the Civil Organization (ICAO), and Federal Aviation Association (FAA) runway incursion databases and analyzing the resulting hours, and at airport with an air traffic control tower.

scholarly journals QHAR: Q-Holonic-Based ARchitecture for Self-Configuration of Cyber–Physical Production Systems

2021 ◽  
Vol 11 (19) ◽  
pp. 9013
Author(s):  
Douha Macherki ◽  
Thierno M. L. Diallo ◽  
Jean-Yves Choley ◽  
Amir Guizani ◽  
Maher Barkallah ◽  
...  
Keyword(s):  
Decentralized Control ◽  
System Performance ◽  
Production Systems ◽  
Control Level ◽  
Centralized Control ◽  
Four Dimensions ◽  
Potential Capacity ◽  
Heterarchical Control ◽  
Cyber Physical Production Systems

Production systems must be able to adapt to increasingly frequent internal and external changes. Cyber-Physical Production Systems (CPPS), thanks to their potential capacity for self-reconfiguration, can cope with this need for adaptation. To implement the self-reconfiguration functionality in economical and safe conditions, CPPS must have appropriate tools and contextualized information. This information can be organized in the form of an architecture. In this paper, after the analysis of several holonic and nonholonic architectures, we propose a holonic architecture that allows for reliable and efficient reconfiguration. We call this architecture QHAR (Q-Holonic-based ARchitecture). QHAR is constructed based on the idea of a Q-holon, which has four dimensions (physical, cyber, human, and energy) and can exchange three flows (energy, data, and materials). It is a generic Holon that can represent any entity or actor of the supply chain. The QHAR is structured in three levels: centralized control level, decentralized control level, and execution level. QHAR implements the principle of an oligarchical control architecture by deploying both hierarchical and heterarchical control approaches. This ensures the overall system performance and reactivity to hazards. The proposed architecture is tested and validated on a case study.

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