EDP Sciences logo
Submit your paper
Search
Menu
Home All issues Volume 8 (2017) Int. J. Simul. Multidisci. Des. Optim., 8 (2017) A8 References
Open Access
Issue
Int. J. Simul. Multidisci. Des. Optim.
Volume 8, 2017
Article Number A8
Number of page(s) 9
DOI https://doi.org/10.1051/smdo/2017001
Published online 10 February 2017
  1. Bouabdallah S. 2007. Design and control of quadrotors with application to autonomous flying. Switzerland: Autonomous Systems Laboratory, Swiss Federal Institute of Technology Lausanne. [Google Scholar]
  2. Alexis K, Nikolakopoulos G, Tzes A. 2012. Model predictive quadrotor control: attitude, altitude and position experimental studies. IET Control Theory & Applications, 6(12), 1812–1827. [CrossRef] [MathSciNet] [Google Scholar]
  3. Carlos IE, Aldo JMV, Anand SO. 2016. Attitude control of quadrotors based on fractional sliding modes: theory and experiments. IET Control Theory & Applications, 10(7), 825–832. [CrossRef] [MathSciNet] [Google Scholar]
  4. Chen F, Jiang R, Zhang K, Jiang B, Tao G. 2016. Robust backstepping sliding mode control and observer-based fault estimation for a quadrotor UAV. IEEE Transactions on Industrial Electronics, 63(8), 5044–5056. [Google Scholar]
  5. Benboualia A, Tadjine M, Chrifi-Alaoui L. 2016. Robust tracking control of quadrotor using a nonlinear PID on eulidean group. The Mediterranean Journal of Measurement and Control, 12(1), 529–536. [Google Scholar]
  6. Haoping W, Xuefei Y, Yang T, et al. 2015. Attitude control of a quadrotor using model free based sliding model controller, in Proceedings of International Conference on Control Systems and Computer Science, Bucharest. p. 149–154. [Google Scholar]
  7. Faiz AS, Kushsairy K, Izhar ABM, et al. 2015. Attitude stabilization of quad-rotor (UAV) system using fuzzy PID controller (an experimental test), in Proceedings of International Conference on Computing Technology and Information Management, Johor. p. 99–104. [Google Scholar]
  8. Tanveer MH, Faiz AS, Hazry D, et al. 2013. Stabilized controller design for attitude and altitude controlling of quad-rotor under disturbance and noisy conditions. American Journal of Applied Sciences, 10(8), 819–831. [CrossRef] [Google Scholar]
  9. Ogata K. 2010. Modern control engineering, 5th edn, Pearson Education, New Jersey, USA. [Google Scholar]
  10. Mallesham G, Mishra S, Jha AN. 2011. Ziegler-Nichols based controller parameters tuning for load frequency control in a microgrid, in Proceedings of International Conference on Energy Automation and Signal, Bhubaneswar, Odisha. p. 1–8. [Google Scholar]
  11. Federico M, Beata W. 2015. Particle swarm optimization (PSO). A tutorial. Chemometrics and Intelligent Laboratory Systems, 149, 153–163. [Google Scholar]
  12. Dian PR, Siti MS, Siti SY. 2011. Particle swarm optimization: technique, system and challenges. International Journal of Computer Applications, 14(1), 19–26. [Google Scholar]
  13. Andries PE. 2007. Computational intelligence: an introduction, 2nd edn. John Wiley & Sons, West Sussex, England. [Google Scholar]
  14. Khodier M. 2013. Optimisation of antenna arrays using the cuckoo search algorithm. IET Microwaves Antennas & Propagation, 7(6), 458–464. [CrossRef] [Google Scholar]
  15. Mac TT, Copot C, Duc TT, Keyser RD. 2016. AR.Drone UAV control parameters tuning based on particle swarm optimization algorithm, in Proceedings of International Conference on Automation, Quality and Testing, Robotics – THETA 20th edition (AQTR), Cluj-Napoca, Romania, p. 475. [Google Scholar]
  16. Mohammed JM, Mofeed TR, Abduladhem AA. 2014. Design optimal PID controller for quad rotor system. International Journal of Computer Applications, 106(3), 15–20. [CrossRef] [Google Scholar]
  17. Boubertakh H, Bencharef S, Labiod S. 2013. PSO-based PID control design for the stabilization of a quadrotor, in Proceedings of International Conference on Systems and Control, Algiers, Algeria. p. 514–517. [Google Scholar]
  18. Bolandi H, Rezaei M, Mohsenipour R, et al. 2013. Attitude control of a quadrotor with optimized PID controller. Intelligent Control and Automation, 4(3), 335–342. [CrossRef] [Google Scholar]
  19. Hélio FF, Paulo BDMO, Eduardo JSP, et al. 2015. Many-objective PSO PID controller tuning, in Proceedings of 11th Portuguese Conference on Automatic Control, Portuguese. 183–192. [Google Scholar]
  20. Hao L, Yongqiang B, Geng L, et al. 2012. Robust attitude control of uncertain quadrotors. IET Control Theory & Applications, 7(11), 1583–1589. [Google Scholar]
  21. Myunggon Y. 2016. A transfer function model of thrust dynamics for multi-rotor helicopters. International Journal of Engineering Research & Technology, 5(1), 15–18, ISSN 2278-0181 [Google Scholar]
  22. Goranka Š, Sanjin B, Roberto Ž. 2014. Comparative analysis of PSO algorithms for PID controller tuning. Chinese Journal of Mechanical Engineering, 27(5), 928–936. [CrossRef] [Google Scholar]
  23. http://ecalc.ch/. [Google Scholar]
  24. Liu C, Prior SD. 2015. Design and implementation of a mini quadrotor control system in GPS denied environments. Unmanned Aircraft Systems (ICUAS), 2015 International Conference on, Denver, CO, p. 462–469. [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.