Abstract
This chapter concludes the monograph, re-stating the major contributions and results. Potential future research directions that may extend applicability of the methodology for robust control of an arbitrary nonlinear system are also discussed.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Fekri S, Athans M, Pascoal A (2006) Issues, progress and new results in robust adaptive control. Int J Adapt Control Signal Process 20(10):519–579
Kiumarsi B, Vamvoudakis KG, Modares H, Lewis FL (2018) Optimal and autonomous control using reinforcement learning: a survey. IEEE Trans Neural Netw Learn Syst 29(6):2042–2062
He W, Meng T, He X, Ge SS (2018) Unified iterative learning control for flexible structures with input constraints. Automatica 96:326–336
Mars P (2018) Learning algorithms: theory and applications in signal processing, control and communications. CRC Press, Boca Raton
Meng T, He W (2018) Iterative learning control of a robotic arm experiment platform with input constraint. IEEE Trans Ind Electron 65(1):664–672
Choromanski K, Sindhwani V, Jones B, Jourdan D, Chociej M, Boots B (2018) Learning-based air data system for safe and efficient control of fixed-wing aerial vehicles. In: IEEE international symposium on safety, security, and rescue robotics (SSRR)
Koch W, Mancuso R, West R, Bestavros A (2019) Reinforcement learning for UAV attitude control. ACM Trans Cyber-Phys Syst
Rudy SH, Brunton SL, Proctor JL, Kutz JN (2017) Data-driven discovery of partial differential equations. Sci Adv
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Michailidis, M.G., Valavanis, K.P., Rutherford, M.J. (2020). Conclusion and Discussion. In: Nonlinear Control of Fixed-Wing UAVs with Time-Varying and Unstructured Uncertainties. Springer Tracts in Autonomous Systems, vol 1. Springer, Cham. https://doi.org/10.1007/978-3-030-40716-2_6
Download citation
DOI: https://doi.org/10.1007/978-3-030-40716-2_6
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-40715-5
Online ISBN: 978-3-030-40716-2
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)