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| Format: | Preprint |
| Published: |
2024
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| Online Access: | https://arxiv.org/abs/2402.10402 |
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| _version_ | 1866913235650740224 |
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| author | Ikeda, Takuya |
| author_facet | Ikeda, Takuya |
| contents | The maximum hands-off control is the optimal solution to the L0 optimal control problem. It has the minimum support length among all feasible control inputs. To avoid computational difficulties arising from its combinatorial nature, the convex approximation method that replaces the L0 norm by the L1 norm in the cost function has been employed on standard. However, this approximation method does not necessarily obtain the maximum hands-off control. In response to this limitation, this paper newly introduces a non-convex approximation method and formulates a class of non-convex optimal control problems that are always equivalent to the maximum hands-off control problem. Based on the results, this paper describes the computation method that quotes algorithms designed for the difference of convex functions optimization. Finally, this paper confirms the effectiveness of the non-convex approximation method with a numerical example. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2402_10402 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Non-convex optimization problems for maximum hands-off control Ikeda, Takuya Optimization and Control Systems and Control The maximum hands-off control is the optimal solution to the L0 optimal control problem. It has the minimum support length among all feasible control inputs. To avoid computational difficulties arising from its combinatorial nature, the convex approximation method that replaces the L0 norm by the L1 norm in the cost function has been employed on standard. However, this approximation method does not necessarily obtain the maximum hands-off control. In response to this limitation, this paper newly introduces a non-convex approximation method and formulates a class of non-convex optimal control problems that are always equivalent to the maximum hands-off control problem. Based on the results, this paper describes the computation method that quotes algorithms designed for the difference of convex functions optimization. Finally, this paper confirms the effectiveness of the non-convex approximation method with a numerical example. |
| title | Non-convex optimization problems for maximum hands-off control |
| topic | Optimization and Control Systems and Control |
| url | https://arxiv.org/abs/2402.10402 |