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===Reliability=== Reliability improvements target all aspects of UAV systems, using [[Resilience (engineering and construction)|resilience engineering]] and [[fault tolerance]] techniques. Individual reliability covers robustness of flight controllers, to ensure safety without excessive redundancy to minimize cost and weight.<ref>{{Cite web|url = http://www.aerospacelab-journal.org/sites/www.aerospacelab-journal.org/files/AL08-02_0.pdf|title = Towards Modular and Certified Avionics for UAV|date = December 2014|website = Aerospacelab Journal|last = Boniol|access-date = 4 February 2016|archive-date = 4 February 2016|archive-url = https://web.archive.org/web/20160204200527/http://www.aerospacelab-journal.org/sites/www.aerospacelab-journal.org/files/AL08-02_0.pdf|url-status = live}}</ref> Besides, dynamic assessment of [[flight envelope]] allows damage-resilient UAVs, using [[Nonlinear system|non-linear analysis]] with ad hoc designed loops or neural networks.<ref>{{Cite web|url = http://enu.kz/repository/2009/AIAA-2009-5736.pdf|title = A Comparison Study of Several Adaptive Control Strategies for Resilient Flight Control|date = 2009|website = AIAA Guidance, Navigation andControl Conference|last = D. Boskovic and Knoebel|archive-url = https://web.archive.org/web/20160204191326/http://enu.kz/repository/2009/AIAA-2009-5736.pdf|archive-date = 4 February 2016|df = dmy-all}}</ref> UAV software liability is bending toward the design and certifications of [[avionics software|crewed avionics software]].<ref>{{Cite web|url = http://www.naefrontiers.org/File.aspx?id=25848|title = Certifiable Autonomous Flight Management for Unmanned Aircraft Systems|website = University of Michigan|last = Atkins|access-date = 4 February 2016|archive-date = 5 March 2017|archive-url = https://web.archive.org/web/20170305144615/https://www.naefrontiers.org/File.aspx?id=25848|url-status = live}}</ref> Swarm resilience involves maintaining operational capabilities and reconfiguring tasks given unit failures.<ref>{{Cite web |url=http://www.dre.vanderbilt.edu/~gokhale/WWW/papers/EASe14_AutonomousDnC.pdf |title=Key Considerations for a Resilient and Autonomous Deployment and Configuration Infrastructure for Cyber-Physical Systems |date=2013 |website=Dept. of Electrical Engineering and Computer Science Vanderbilt University, Nashville |author=Subhav Pradhan |author2=William Otte |author3=Abhishek Dubey |author4=Aniruddha Gokhale |author5=Gabor Karsai |access-date=4 February 2016 |archive-date=4 February 2016 |archive-url=https://web.archive.org/web/20160204194114/http://www.dre.vanderbilt.edu/~gokhale/WWW/papers/EASe14_AutonomousDnC.pdf |url-status=live }}</ref>
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