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 86 articles )

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  1. Grimstad, Bjarne; Knudsen, Brage R.: Mathematical programming formulations for piecewise polynomial functions (2020)
  2. Gui, Hang; Sun, Ruisheng; Chen, Wei; Zhu, Bin: Reaction control system optimization for maneuverable reentry vehicles based on particle swarm optimization (2020)
  3. Xu, Chen; Chai, Yiyuan; Qin, Sitian; Wang, Zhenkun; Feng, Jiqiang: A neurodynamic approach to nonsmooth constrained pseudoconvex optimization problem (2020)
  4. Liu, Na; Qin, Sitian: A neurodynamic approach to nonlinear optimization problems with affine equality and convex inequality constraints (2019)
  5. Zhang, Sheng; Yong, En-Mi; Qian, Wei-Qi; He, Kai-Feng: A variation evolving method for optimal control computation (2019)
  6. Jason K. Moore; Antonie van den Bogert: opty: Software for trajectory optimization and parameter identification using direct collocation (2018) not zbMATH
  7. Kumar, G. Naresh; Ikram, Mohammad; Sarkar, A. K.; Talole, S. E.: Hypersonic flight vehicle trajectory optimization using pattern search algorithm (2018)
  8. Olivares, Alberto; Staffetti, Ernesto: Switching time-optimal control of spacecraft equipped with reaction wheels and gas jet thrusters (2018)
  9. Pan, Binfeng; Wang, Yang; Tian, Shaohua: A high-precision single shooting method for solving hypersensitive optimal control problems (2018)
  10. Trofimov, S. P.; Tselousova, A. A.; Shirobokov, M. G.: Two direct low thrust trajectory optimization techniques (2018)
  11. Zhang, Weizhong; Wang, Dan; Inanc, Tamer: A multiphase DMOC-based trajectory optimization method (2018)
  12. Kelly, Matthew: An introduction to trajectory optimization: how to do your own direct collocation (2017)
  13. Zanon, Mario; Boccia, Andrea; Palma, Vryan Gil S.; Parenti, Sonja; Xausa, Ilaria: Direct optimal control and model predictive control (2017)
  14. Chilan, Christian M.; Conway, Bruce A.: A reachable set analysis method for generating near-optimal trajectories of constrained multiphase systems (2015)
  15. Gerdts, Matthias: A survey on optimal control problems with differential-algebraic equations (2015)
  16. Li, Jing; Xi, Xiao-ning: Time-optimal reorientation of the rigid spacecraft using a pseudospectral method integrated homotopic approach (2015)
  17. Olivares, Alberto; Staffetti, Ernesto: Embedded optimal control of robot manipulators with passive joints (2015)
  18. 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)
  19. Baoyin, He-Xi; Li, Jun-Feng: A survey on orbital dynamics and navigation of asteroid missions (2014)
  20. Bonami, Pierre; Olivares, Alberto; Staffetti, Ernesto: Energy-optimal multi-goal motion planning for planar robot manipulators (2014)

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