Enhancement of the Moving Horizon Estimation Performance Based on an Adaptive Estimation Algorithm
Although moving horizon estimation (MHE) is a very efficient technique for estimating parameters and states of constrained dynamical systems, however, the approximation of the arrival cost remains a major challenge and therefore a popular research topic. The importance of the arrival cost is such th...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Journal of Control Science and Engineering |
| Online Access: | http://dx.doi.org/10.1155/2021/3776506 |
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| _version_ | 1850231595891425280 |
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| author | Steve Alan Talla Ouambo Alexandre Teplaira Boum Adolphe Moukengue Imano Jean-Pierre Corriou |
| author_facet | Steve Alan Talla Ouambo Alexandre Teplaira Boum Adolphe Moukengue Imano Jean-Pierre Corriou |
| author_sort | Steve Alan Talla Ouambo |
| collection | DOAJ |
| description | Although moving horizon estimation (MHE) is a very efficient technique for estimating parameters and states of constrained dynamical systems, however, the approximation of the arrival cost remains a major challenge and therefore a popular research topic. The importance of the arrival cost is such that it allows information from past measurements to be introduced into current estimates. In this paper, using an adaptive estimation algorithm, we approximate and update the parameters of the arrival cost of the moving horizon estimator. The proposed method is based on the least-squares algorithm but includes a variable forgetting factor which is based on the constant information principle and a dead zone which ensures robustness. We show by this method that a fairly good approximation of the arrival cost guarantees the convergence and stability of estimates. Some simulations are made to show and demonstrate the effectiveness of the proposed method and to compare it with the classical MHE. |
| format | Article |
| id | doaj-art-0ba50a770fbb491092b3945993c19aa1 |
| institution | OA Journals |
| issn | 1687-5257 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Control Science and Engineering |
| spelling | doaj-art-0ba50a770fbb491092b3945993c19aa12025-08-20T02:03:28ZengWileyJournal of Control Science and Engineering1687-52572021-01-01202110.1155/2021/3776506Enhancement of the Moving Horizon Estimation Performance Based on an Adaptive Estimation AlgorithmSteve Alan Talla Ouambo0Alexandre Teplaira Boum1Adolphe Moukengue Imano2Jean-Pierre Corriou3University of DoualaUniversity of DoualaUniversity of DoualaUniversity of LorraineAlthough moving horizon estimation (MHE) is a very efficient technique for estimating parameters and states of constrained dynamical systems, however, the approximation of the arrival cost remains a major challenge and therefore a popular research topic. The importance of the arrival cost is such that it allows information from past measurements to be introduced into current estimates. In this paper, using an adaptive estimation algorithm, we approximate and update the parameters of the arrival cost of the moving horizon estimator. The proposed method is based on the least-squares algorithm but includes a variable forgetting factor which is based on the constant information principle and a dead zone which ensures robustness. We show by this method that a fairly good approximation of the arrival cost guarantees the convergence and stability of estimates. Some simulations are made to show and demonstrate the effectiveness of the proposed method and to compare it with the classical MHE.http://dx.doi.org/10.1155/2021/3776506 |
| spellingShingle | Steve Alan Talla Ouambo Alexandre Teplaira Boum Adolphe Moukengue Imano Jean-Pierre Corriou Enhancement of the Moving Horizon Estimation Performance Based on an Adaptive Estimation Algorithm Journal of Control Science and Engineering |
| title | Enhancement of the Moving Horizon Estimation Performance Based on an Adaptive Estimation Algorithm |
| title_full | Enhancement of the Moving Horizon Estimation Performance Based on an Adaptive Estimation Algorithm |
| title_fullStr | Enhancement of the Moving Horizon Estimation Performance Based on an Adaptive Estimation Algorithm |
| title_full_unstemmed | Enhancement of the Moving Horizon Estimation Performance Based on an Adaptive Estimation Algorithm |
| title_short | Enhancement of the Moving Horizon Estimation Performance Based on an Adaptive Estimation Algorithm |
| title_sort | enhancement of the moving horizon estimation performance based on an adaptive estimation algorithm |
| url | http://dx.doi.org/10.1155/2021/3776506 |
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