### 抄録

We propose a new algorithm for numerical solutions of constrained nonlinear optimal control problems, based on constrained LQ problems. The proposed algorithm is described as follows. First, we approximate the constrained nonlinear optimal control problems by the Taylor expansion technique, resulting in the standard LQ problems, but with linearized constraints. Then, by making use of penalty function methods, we construct the augmented LQ problem, which is one of unconstrained optimal control problems, and therefore we can easily obtain the optimal solution of the augmented LQ problem by Riccati transformation. Finally, repeating the above procedure with a certain type of filter, we ventually obtain the numerical solutions for constrained nonlinear optimal control problems. The effectiveness is demonstrated through simulation.

元の言語 | English |
---|---|

ホスト出版物のタイトル | Proceedings of the 2009 IEEE International Conference on Networking, Sensing and Control, ICNSC 2009 |

ページ | 176-180 |

ページ数 | 5 |

DOI | |

出版物ステータス | Published - 2009 |

外部発表 | Yes |

イベント | 2009 IEEE International Conference on Networking, Sensing and Control, ICNSC 2009 - Okayama 継続期間: 2009 3 26 → 2009 3 29 |

### Other

Other | 2009 IEEE International Conference on Networking, Sensing and Control, ICNSC 2009 |
---|---|

市 | Okayama |

期間 | 09/3/26 → 09/3/29 |

### ASJC Scopus subject areas

- Computer Networks and Communications
- Electrical and Electronic Engineering

### これを引用

*Proceedings of the 2009 IEEE International Conference on Networking, Sensing and Control, ICNSC 2009*(pp. 176-180). [4919267] https://doi.org/10.1109/ICNSC.2009.4919267

**A constrained LQ approach to numerical solutions for constrained nonlinear optimal control problems.** / Imae, Joe; Ando, Tomonari; Kobayashi, Tomoaki; Zhai, Guisheng.

研究成果: Conference contribution

*Proceedings of the 2009 IEEE International Conference on Networking, Sensing and Control, ICNSC 2009.*, 4919267, pp. 176-180, 2009 IEEE International Conference on Networking, Sensing and Control, ICNSC 2009, Okayama, 09/3/26. https://doi.org/10.1109/ICNSC.2009.4919267

}

TY - GEN

T1 - A constrained LQ approach to numerical solutions for constrained nonlinear optimal control problems

AU - Imae, Joe

AU - Ando, Tomonari

AU - Kobayashi, Tomoaki

AU - Zhai, Guisheng

PY - 2009

Y1 - 2009

N2 - We propose a new algorithm for numerical solutions of constrained nonlinear optimal control problems, based on constrained LQ problems. The proposed algorithm is described as follows. First, we approximate the constrained nonlinear optimal control problems by the Taylor expansion technique, resulting in the standard LQ problems, but with linearized constraints. Then, by making use of penalty function methods, we construct the augmented LQ problem, which is one of unconstrained optimal control problems, and therefore we can easily obtain the optimal solution of the augmented LQ problem by Riccati transformation. Finally, repeating the above procedure with a certain type of filter, we ventually obtain the numerical solutions for constrained nonlinear optimal control problems. The effectiveness is demonstrated through simulation.

AB - We propose a new algorithm for numerical solutions of constrained nonlinear optimal control problems, based on constrained LQ problems. The proposed algorithm is described as follows. First, we approximate the constrained nonlinear optimal control problems by the Taylor expansion technique, resulting in the standard LQ problems, but with linearized constraints. Then, by making use of penalty function methods, we construct the augmented LQ problem, which is one of unconstrained optimal control problems, and therefore we can easily obtain the optimal solution of the augmented LQ problem by Riccati transformation. Finally, repeating the above procedure with a certain type of filter, we ventually obtain the numerical solutions for constrained nonlinear optimal control problems. The effectiveness is demonstrated through simulation.

KW - Computational method

KW - Constrained nonlinear optimal control problem

KW - LQ problem

KW - Penalty function

UR - http://www.scopus.com/inward/record.url?scp=70349095544&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=70349095544&partnerID=8YFLogxK

U2 - 10.1109/ICNSC.2009.4919267

DO - 10.1109/ICNSC.2009.4919267

M3 - Conference contribution

AN - SCOPUS:70349095544

SN - 9781424434923

SP - 176

EP - 180

BT - Proceedings of the 2009 IEEE International Conference on Networking, Sensing and Control, ICNSC 2009

ER -