A Conjugate Gradient-Based BPTT-Like Optimal Control Algorithm With Vehicle Dynamics Control Application.
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| Title: | A Conjugate Gradient-Based BPTT-Like Optimal Control Algorithm With Vehicle Dynamics Control Application. |
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| Authors: | Kasac, Josip1, Deur, Joško1, Novakovic, Branko1, Kolmanovsky, Ilya V.2, Assadian, Francis3 |
| Source: | IEEE Transactions on Control Systems Technology. Nov2011, Vol. 19 Issue 6, p1587-1595. 9p. |
| Subjects: | Motor vehicles, Heuristic algorithms, Conjugate gradient methods, Mathematical models, Artificial neural networks, Numerical calculations, Automatic control systems, Steering gear |
| Abstract: | The paper presents a gradient-based algorithm for optimal control of nonlinear multivariable systems with control and state vectors constraints. The algorithm has a backward-in-time recurrent structure similar to the backpropagation-through-time algorithm, which is mostly used as a learning algorithm for dynamic neural networks. Other main features of the algorithm include the use of higher order Adams time-discretization schemes, numerical calculation of Jacobians, and advanced conjugate gradient methods for favorable convergence properties. The algorithm performance is illustrated on an example of off-line vehicle dynamics control optimization based on a realistic high-order vehicle model. The optimized control variables are active rear differential torque transfer and active rear steering road wheel angle, while the optimization tasks are trajectory tracking and roll minimization for a double lane change maneuver. [ABSTRACT FROM AUTHOR] |
| Copyright of IEEE Transactions on Control Systems Technology is the property of IEEE and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 65933626 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: A Conjugate Gradient-Based BPTT-Like Optimal Control Algorithm With Vehicle Dynamics Control Application. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Kasac%2C+Josip%22">Kasac, Josip</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Deur%2C+Joško%22">Deur, Joško</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Novakovic%2C+Branko%22">Novakovic, Branko</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Kolmanovsky%2C+Ilya+V%2E%22">Kolmanovsky, Ilya V.</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Assadian%2C+Francis%22">Assadian, Francis</searchLink><relatesTo>3</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22IEEE+Transactions+on+Control+Systems+Technology%22">IEEE Transactions on Control Systems Technology</searchLink>. Nov2011, Vol. 19 Issue 6, p1587-1595. 9p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Motor+vehicles%22">Motor vehicles</searchLink><br /><searchLink fieldCode="DE" term="%22Heuristic+algorithms%22">Heuristic algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Conjugate+gradient+methods%22">Conjugate gradient methods</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+models%22">Mathematical models</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+neural+networks%22">Artificial neural networks</searchLink><br /><searchLink fieldCode="DE" term="%22Numerical+calculations%22">Numerical calculations</searchLink><br /><searchLink fieldCode="DE" term="%22Automatic+control+systems%22">Automatic control systems</searchLink><br /><searchLink fieldCode="DE" term="%22Steering+gear%22">Steering gear</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The paper presents a gradient-based algorithm for optimal control of nonlinear multivariable systems with control and state vectors constraints. The algorithm has a backward-in-time recurrent structure similar to the backpropagation-through-time algorithm, which is mostly used as a learning algorithm for dynamic neural networks. Other main features of the algorithm include the use of higher order Adams time-discretization schemes, numerical calculation of Jacobians, and advanced conjugate gradient methods for favorable convergence properties. The algorithm performance is illustrated on an example of off-line vehicle dynamics control optimization based on a realistic high-order vehicle model. The optimized control variables are active rear differential torque transfer and active rear steering road wheel angle, while the optimization tasks are trajectory tracking and roll minimization for a double lane change maneuver. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of IEEE Transactions on Control Systems Technology is the property of IEEE and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1109/TCST.2010.2084088 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 9 StartPage: 1587 Subjects: – SubjectFull: Motor vehicles Type: general – SubjectFull: Heuristic algorithms Type: general – SubjectFull: Conjugate gradient methods Type: general – SubjectFull: Mathematical models Type: general – SubjectFull: Artificial neural networks Type: general – SubjectFull: Numerical calculations Type: general – SubjectFull: Automatic control systems Type: general – SubjectFull: Steering gear Type: general Titles: – TitleFull: A Conjugate Gradient-Based BPTT-Like Optimal Control Algorithm With Vehicle Dynamics Control Application. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Kasac, Josip – PersonEntity: Name: NameFull: Deur, Joško – PersonEntity: Name: NameFull: Novakovic, Branko – PersonEntity: Name: NameFull: Kolmanovsky, Ilya V. – PersonEntity: Name: NameFull: Assadian, Francis IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 11 Text: Nov2011 Type: published Y: 2011 Identifiers: – Type: issn-print Value: 10636536 Numbering: – Type: volume Value: 19 – Type: issue Value: 6 Titles: – TitleFull: IEEE Transactions on Control Systems Technology Type: main |
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