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Adaptive control technologies that incorporate learning algorithms have been proposed to enable automatic flight control and vehicle recovery, autonomous flight, and to maintain vehicle performance in the face of unknown, changing, or poorly defined operating environments. In order for adaptive control systems to be used in safety-critical aerospace(More)
We present a density based feasibility analysis of tasks with offset (non-concrete transactions) scheduled by pre-emptive EDF, on a uniprocessor system. Our method extends the analysis technique proposed for sporadic tasks, in [4, 2], that allows a global schedulability analysis of a system. We will show that, for non-concrete transactions, the naive(More)
Distributed database system provides resource sharing environment for optimal performance of various database activities, especially when data is spread over a large number of sites. Distributed nature of transactions occurring at different sites and requiring resources from diverse sites pose various operational problems, such as deadlocks, concurrency and(More)
Modern aircraft, UAVs, and robotic spacecraft pose substantial requirements on controllers in the light of ever increasing demands for reusability, affordability, and reliability. The individual systems (which are often nonlinear) must be controlled safely and reliably in environments where it is virtually impossible to analyze—ahead of time— all the(More)
Although awareness of tuberculosis among captive elephants is increasing, antituberculosis therapy for these animals is not standardized. We describe Mycobacterium tuberculosis transmission between captive elephants based on whole genome analysis and report a successful combination treatment. Infection control protocols and careful monitoring of treatment(More)
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