Unscented optimal control

In mathematics, unscented optimal control combines the notion of the unscented transform with deterministic optimal control to address a class of uncertain optimal control problems.[1][2][3][4] It is a specific application of tychastic optimal control theory,[1][5][6][7] which is a generalization of Riemmann-Stieltjes optimal control theory,[8][9] a concept introduced by Ross and his coworkers.

Mathematical description

Suppose that the initial state of a dynamical system,

is an uncertain quantity. Let be the sigma points. Then sigma-copies of the dynamical system are given by,

Applying standard deterministic optimal control principles to this ensemble generates an unscented optimal control.[10][11][12] Unscented optimal control is a special case of tychastic optimal control theory.[1][5][13] According to Aubin[13] and Ross,[1] tychastic processes differ from stochastic processes in that a tychastic process is conditionally deterministic.

Applications

Unscented optimal control theory has been applied to UAV guidance,[12][14] spacecraft attitude control,[6] air-traffic control[15] and low-thrust trajectory optimization[2][10]

References

  1. ^ a b c d Ross, Isaac (2015). A primer on Pontryagin's principle in optimal control. San Francisco: Collegiate Publishers. pp. 75–82. ISBN 978-0-9843571-1-6.
  2. ^ a b Ross, I. Michael; Proulx, Ronald; Karpenko, Mark (August 4–7, 2014). Unscented Optimal Control for Orbital and Proximity Operations in an Uncertain Environment: A New Zermelo Problem. AIAA/AAS Astrodynamics Specialist Conference. San Diego, CA: American Institute of Aeronautics and Astronautics. doi:10.2514/6.2014-4423. Retrieved August 23, 2024.
  3. ^ Ross et al, Unscented Control for Uncertain Dynamical Systems, US Patent US 9,727,034 Bl. Issued Aug 8, 2017. https://calhoun.nps.edu/bitstream/handle/10945/55812/USPN%209727034.pdf?sequence=1&isAllowed=y
  4. ^ Manchester, Zachary; Kuindersma, Scott (December 2016). "Derivative-free trajectory optimization with unscented dynamic programming". 2016 IEEE 55th Conference on Decision and Control (CDC). IEEE. pp. 3642–3647. doi:10.1109/cdc.2016.7798817. ISBN 978-1-5090-1837-6.
  5. ^ a b Ross, I. Michael; Karpenko, Mark; Proulx, Ronald J. (July 2016). "Path constraints in tychastic and unscented optimal control: Theory, application and experimental results". 2016 American Control Conference (ACC). IEEE. pp. 2918–2923. doi:10.1109/acc.2016.7525362. ISBN 978-1-4673-8682-1. S2CID 1123147.
  6. ^ a b Ross, I. M.; Karpenko, M.; Proulx, R. J. (July 2016). "Path constraints in tychastic and unscented optimal control: Theory, application and experimental results". 2016 American Control Conference (ACC). pp. 2918–2923. doi:10.1109/acc.2016.7525362. ISBN 978-1-4673-8682-1. S2CID 1123147.
  7. ^ Ross, I. M.; Proulx, R. J.; Karpenko, M. (2024-05-04). "Unscented Trajectory Optimization". arXiv:2405.02753 [math.OC].
  8. ^ Ross, I. Michael; Karpenko, Mark; Proulx, Ronald J. (2015). "Riemann-Stieltjes Optimal Control Problems for Uncertain Dynamic Systems". Journal of Guidance, Control, and Dynamics. 38 (7). AIAA: 1251–1263. Bibcode:2015JGCD...38.1251R. doi:10.2514/1.G000505. hdl:10945/48189. S2CID 121424228.
  9. ^ Karpenko, Mark; Proulx, Ronald J. (2016). "Experimental Implementation of Riemann–Stieltjes Optimal Control for Agile Imaging Satellites". Journal of Guidance, Control, and Dynamics. 39 (1): 144–150. Bibcode:2016JGCD...39..144K. doi:10.2514/1.g001325. hdl:10945/50355. ISSN 0731-5090. S2CID 116887441.
  10. ^ a b Ozaki, Naoya; Funase, Ryu (January 8–12, 2018). Tube Stochastic Differential Dynamic Programming for Robust Low-Thrust Trajectory Optimization Problems. 2018 AIAA Guidance, Navigation, and Control Conference. Kissimmee, Florida. doi:10.2514/6.2018-0861.
  11. ^ "Robust Differential Dynamic Programming for Low-Thrust Trajectory Design: Approach with Robust Model Predictive Control Technique" (PDF).
  12. ^ a b Shaffer, R.; Karpenko, M.; Gong, Q. (July 2016). "Unscented guidance for waypoint navigation of a fixed-wing UAV". 2016 American Control Conference (ACC). pp. 473–478. doi:10.1109/acc.2016.7524959. ISBN 978-1-4673-8682-1. S2CID 11741951.
  13. ^ a b Aubin, Jean-Pierre; Saint-Pierre, Patrick (2008). "A Tychastic Approach to Guaranteed Pricing and Management of Portfolios under Transaction Constraints". Seminar on Stochastic Analysis, Random Fields and Applications V. Progress in Probability. Vol. 59. Basel: Birkhäuser Basel. pp. 411–433. doi:10.1007/978-3-7643-8458-6_22. ISBN 978-3-7643-8457-9. Retrieved 2020-12-23.
  14. ^ Ross, I. M.; Proulx, R. J.; Karpenko, M. (July 2015). "Unscented guidance". 2015 American Control Conference (ACC). pp. 5605–5610. doi:10.1109/acc.2015.7172217. ISBN 978-1-4799-8684-2. S2CID 28136418.
  15. ^ Ng, Hok Kwan (2020-06-08). "Strategic Planning with Unscented Optimal Guidance for Urban Air Mobility". AIAA Aviation 2020 Forum. American Institute of Aeronautics and Astronautics. doi:10.2514/6.2020-2904. ISBN 978-1-62410-598-2. S2CID 225658104. Retrieved 2020-12-23.


Stub icon

This mathematics-related article is a stub. You can help Wikipedia by expanding it.