A Novel Penalty Approach for Nonlinear Dynamic Optimization Problems With Inequality Path Constraints

@article{Liu2014ANP,
  title={A Novel Penalty Approach for Nonlinear Dynamic Optimization Problems With Inequality Path Constraints},
  author={Xinggao Liu and Yunqing Hu and Jianghua Feng and Kean Liu},
  journal={IEEE Transactions on Automatic Control},
  year={2014},
  volume={59},
  pages={2863-2867}
}
The control vector parameterization (CVP) approach is popular to solve nonlinear dynamic optimization problems, but handling inequality path constraints within its framework is a challenge. This study deals with inequality path constraints by using the l1 penalty function and a novel smoothing technique. After clarifying some theories of the proposed approach, a concomitant algorithm is also put forward and verified. 
6 Citations
20 References
Similar Papers

References

Publications referenced by this paper.
Showing 1-10 of 20 references

Application of Optimazition Methods and Implement in MATLAB

  • X. G. Liu, Y. Q. Hu
  • 2014
1 Excerpt

Fast Pareto set generation for nonlinear optimal control problems with multiple objectives

  • F. Logist, B. Houska, M. Diehl, J. Van Impe
  • Struct. Multidiscip. Optim., vol. 42, pp. 591–603…
  • 2010
1 Excerpt

Nonlinear Programming: Concepts, Algorithms, and Applications to Chemical Processes

  • L. T. Biegler
  • Philadelphia, PA: SIAM,
  • 2010
1 Excerpt

Similar Papers

Loading similar papers…