Sparse Optimal Control Software (SOCS). The Sparse Optimal Control Family, developed by The Boeing Company, contains two advanced software packages, available separately or together. Sparse Optimal Control Software (SOCS) is general-purpose software for solving optimal control problems. Applications include trajectory optimization, chemical process control and machine tool path definition. Sparse Nonlinear Programming exploits state-of-the-art sparse linear algebra technology to solve very large optimization problems orders of magnitude faster than traditional methods. Applications with more than 100,000 variables and constraints can now be solved efficiently on desktop computers. The Sparse Nonlinear Programming software is available as an integral part of SOCS or as a separate package.

References in zbMATH (referenced in 58 articles )

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  1. Betts, John T.; Campbell, Stephen L.; Thompson, Karmethia C.: Solving optimal control problems with control delays using direct transcription (2016)
  2. Boucher, Randy; Kang, Wei; Gong, Qi: Galerkin optimal control (2016)
  3. Campbell, Stephen; Kunkel, Peter: Solving higher index DAE optimal control problems (2016)
  4. Campbell, Stephen L.; Betts, John T.: Comments on direct transcription solution of DAE constrained optimal control problems with two discretization approaches (2016)
  5. Cannataro, Begüm Şenses; Rao, Anil V.; Davis, Timothy A.: State-defect constraint pairing graph coarsening method for Karush-Kuhn-Tucker matrices arising in orthogonal collocation methods for optimal control (2016)
  6. Chatterjee, Debasish; Nagahara, Masaaki; Quevedo, Daniel E.; Rao, K.S.Mallikarjuna: Characterization of maximum hands-off control (2016)
  7. Nikooeinejad, Z.; Delavarkhalafi, A.; Heydari, M.: A numerical solution of open-loop Nash equilibrium in nonlinear differential games based on Chebyshev pseudospectral method (2016)
  8. Rojas, Clara; Belmonte-Beitia, Juan; Pérez-García, Víctor M.; Maurer, Helmut: Dynamics and optimal control of chemotherapy for low grade gliomas: insights from a mathematical model (2016)
  9. Sukumar, Srikant; Chatterjee, Debasish: A jammer’s perspective of reachability and LQ optimal control (2016)
  10. Zhang, Ying; Yu, Changjun; Xu, Yingtao; Teo, Kok Lay: Minimizing control variation in discrete-time optimal control problems (2016)
  11. Zhu, Jiamin; Trélat, Emmanuel; Cerf, Max: Planar tilting maneuver of a spacecraft: singular arcs in the minimum time problem and chattering (2016)
  12. Zhu, Jiamin; Treĺat, Emmanuel; Cerf, Max: Minimum time control of the rocket attitude reorientation associated with orbit dynamics (2016)
  13. Berger, André; Grigoriev, Alexander; Peeters, Ralf; Usotskaya, Natalya: On time-optimal trajectories in non-uniform mediums (2015)
  14. Betts, John T.; Campbell, Stephen L.; Thompson, Karmethia: Lobatto IIIA methods, direct transcription, and DAEs with delays (2015)
  15. Campbell, Stephen L.: The flexibility of DAE formulations (2015)
  16. Chekroun, Mickaël D.; Liu, Honghu: Finite-horizon parameterizing manifolds, and applications to suboptimal control of nonlinear parabolic PDEs (2015)
  17. Gaitsgory, Vladimir; Grüne, Lars; Thatcher, Neil: Stabilization with discounted optimal control (2015)
  18. Merker, Andreas; Kaiser, Dieter; Hermann, Martin: Numerical bifurcation analysis of the bipedal spring-mass model (2015)
  19. Trélat, Emmanuel; Zuazua, Enrique: The turnpike property in finite-dimensional nonlinear optimal control (2015)
  20. Villarreal-Cervantes, Miguel G.; Cruz-Villar, Carlos Alberto; Alvarez-Gallegos, Jaime: Synergetic structure-control design via a hybrid gradient-evolutionary algorithm (2015)

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