OTIS: Optimal Trajectories by Implicit Simulation OTIS is a general purpose trajectory optimization program. It can and has been used to support analysis for a variety of vehicles and missions, including aircraft, spacrcraft and launch vehicles. The generality of OTIS4 allows users to define their own variables, objective function, and constraints, and equations of motion. OTIS4 is also capable of optimizing the trajectories of underwater autonomous vehicles and classic control problems such as the brachistochrone and supersonic aircraft minimum-time-climb.

References in zbMATH (referenced in 75 articles )

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  1. Kumar, G. Naresh; Ikram, Mohammad; Sarkar, A. K.; Talole, S. E.: Hypersonic flight vehicle trajectory optimization using pattern search algorithm (2018)
  2. Olivares, Alberto; Staffetti, Ernesto: Switching time-optimal control of spacecraft equipped with reaction wheels and gas jet thrusters (2018)
  3. Zhang, Weizhong; Wang, Dan; Inanc, Tamer: A multiphase DMOC-based trajectory optimization method (2018)
  4. Kelly, Matthew: An introduction to trajectory optimization: how to do your own direct collocation (2017)
  5. Zanon, Mario; Boccia, Andrea; Palma, Vryan Gil S.; Parenti, Sonja; Xausa, Ilaria: Direct optimal control and model predictive control (2017)
  6. Chilan, Christian M.; Conway, Bruce A.: A reachable set analysis method for generating near-optimal trajectories of constrained multiphase systems (2015)
  7. Gerdts, Matthias: A survey on optimal control problems with differential-algebraic equations (2015)
  8. Li, Jing; Xi, Xiao-ning: Time-optimal reorientation of the rigid spacecraft using a pseudospectral method integrated homotopic approach (2015)
  9. Ross, Steven M.; Cobb, Richard G.; Baker, William P.; Harmon, Frederick G.: Implementation lessons and pitfalls for real-time optimal control with stochastic systems (2015)
  10. Baoyin, He-Xi; Li, Jun-Feng: A survey on orbital dynamics and navigation of asteroid missions (2014)
  11. Bonami, Pierre; Olivares, Alberto; Staffetti, Ernesto: Energy-optimal multi-goal motion planning for planar robot manipulators (2014)
  12. Cai, Xing-Shan; Chen, Yang; Li, Jun-Feng: Low-thrust trajectory optimization in a full ephemeris model (2014)
  13. Fabien, Brian C.: Parallel indirect solution of optimal control problems (2014)
  14. Marzban, H. R.; Hoseini, S. M.: A hybrid approximation scheme for discretizing constrained quadratic optimal control problems (2014)
  15. Peng, Hai-Jun; Gao, Qiang; Zhang, Hong-Wu; Wu, Zhi-Gang; Zhong, Wan-xie: Parametric variational solution of linear-quadratic optimal control problems with control inequality constraints (2014)
  16. Cremaschi, Francesco: Trajectory optimization for launchers and re-entry vehicles (2013)
  17. Elgindy, Kareem T.; Smith-Miles, Kate A.: Fast, accurate, and small-scale direct trajectory optimization using a Gegenbauer transcription method (2013)
  18. Gregory, John; Olivares, Alberto; Staffetti, Ernesto: Energy-optimal trajectory planning for the Pendubot and the Acrobot (2013)
  19. Balesdent, Mathieu; Bérend, Nicolas; Dépincé, Philippe; Chriette, Abdelhamid: A survey of multidisciplinary design optimization methods in launch vehicle design (2012)
  20. Conway, Bruce A.: A survey of methods available for the numerical optimization of continuous dynamic systems (2012)

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Further publications can be found at: http://otis.grc.nasa.gov/references.html