References in zbMATH (referenced in 52 articles )

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  1. Ho, Vinh Thanh; Le Thi, Hoai An; Pham Dinh, Tao: DCA-based algorithms for DC fitting (2021)
  2. Magrini, Luciano A.; Oliveira Domingues, Margarete; Macau, Elbert E. N.; Kiss, István Z.: Synchronization in populations of electrochemical bursting oscillators with chaotic slow dynamics (2021)
  3. Okawa, Isao; Nonaka, Kenichiro: Linear complementarity model predictive control with limited iterations for box-constrained problems (2021)
  4. Cantoni, Michael; Farokhi, Farhad; Kerrigan, Eric; Shames, Iman: Structured computation of optimal controls for constrained cascade systems (2020)
  5. Ławryńczuk, Maciej: Nonlinear model predictive control for processes with complex dynamics: a parameterisation approach using Laguerre functions (2020)
  6. Liao-McPherson, Dominic; Kolmanovsky, Ilya: FBstab: a proximally stabilized semismooth algorithm for convex quadratic programming (2020)
  7. Magrini, Luciano A.; Oliveira Domingues, Margarete; Macau, Elbert E. N.; Kiss, István Z.: Extraction of slow and fast dynamics of multiple time scale systems using wavelet techniques (2020)
  8. Paulson, Joel A.; Buehler, Edward A.; Braatz, Richard D.; Mesbah, Ali: Stochastic model predictive control with joint chance constraints (2020)
  9. Takapoui, Reza; Moehle, Nicholas; Boyd, Stephen; Bemporad, Alberto: A simple effective heuristic for embedded mixed-integer quadratic programming (2020)
  10. Englert, Tobias; Völz, Andreas; Mesmer, Felix; Rhein, Sönke; Graichen, Knut: A software framework for embedded nonlinear model predictive control using a gradient-based augmented Lagrangian approach (GRAMPC) (2019)
  11. Morato, Marcelo Menezes; Nguyen, Manh Quan; Sename, Olivier; Dugard, Luc: Design of a fast real-time \textitLPVmodel predictive control system for semi-active suspension control of a full vehicle (2019)
  12. Otta, Pavel; Burant, Jiří; Šantin, Ondřej; Havlena, Vladimír: Newton projection with proportioning using iterative linear algebra for model predictive control with long prediction horizon (2019)
  13. Perne, Matija; Gerkšič, Samo; Pregelj, Boštjan: Soft inequality constraints in gradient method and fast gradient method for quadratic programming (2019)
  14. Qian, Hong; Yuan, Yuan; Wang, Yu; Jiang, Gaofeng; Yang, Ting: Research on pressurizer pressure control based on adaptive prediction algorithm (2019)
  15. Stechlinski, Peter; Jäschke, Johannes; Barton, Paul I.: Generalized sensitivity analysis of nonlinear programs using a sequence of quadratic programs (2019)
  16. Godina, Radu; Rodrigues, Eduardo M. G.; Pouresmaeil, Edris; Catalão, João P. S.: Optimal residential model predictive control energy management performance with PV microgeneration (2018)
  17. Kouzoupis, Dimitris; Frison, Gianluca; Zanelli, Andrea; Diehl, Moritz: Recent advances in quadratic programming algorithms for nonlinear model predictive control (2018)
  18. Cheng, Xiaoming; Li, Huifeng; Zhang, Ran: Autonomous trajectory planning for space vehicles with a Newton-Kantorovich/convex programming approach (2017)
  19. Copp, David A.; Hespanha, João P.: Simultaneous nonlinear model predictive control and state estimation (2017)
  20. Feller, Christian; Ebenbauer, Christian: A stabilizing iteration scheme for model predictive control based on relaxed barrier functions (2017)

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