Computation of optimal controls for non-linear distributed-parameter systems using multivariate spline functions
A computational technique is developed for the solution of optimal control problems for distributed-parameter systems. The method involves an expansion of the state variables in terms of multivariate spline basis functions. The optimal control problem is thereby reduced to a finite-dimensional const...
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| Veröffentlicht in: | International journal of systems science Jg. 9; H. 12; S. 1387 - 1395 |
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| Hauptverfasser: | , |
| Format: | Journal Article |
| Sprache: | Englisch |
| Veröffentlicht: |
Taylor & Francis Group
01.12.1978
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| ISSN: | 0020-7721, 1464-5319 |
| Online-Zugang: | Volltext |
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| Abstract | A computational technique is developed for the solution of optimal control problems for distributed-parameter systems. The method involves an expansion of the state variables in terms of multivariate spline basis functions. The optimal control problem is thereby reduced to a finite-dimensional constrained minimization problem that may be solved numerically using standard algorithms. Unlike in previous approaches, the system partial differential equations are satisfied exactly at every stage of the computation without, however, explicitly solving them. This feature results in both a decreased computational load and an increased solution accuracy. A numerical example is presented. |
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| AbstractList | A computational technique is developed for the solution of optimal control problems for distributed-parameter systems. The method involves an expansion of the state variables in terms of multivariate spline basis functions. The optimal control problem is thereby reduced to a finite-dimensional constrained minimization problem that may be solved numerically using standard algorithms. Unlike in previous approaches, the system partial differential equations are satisfied exactly at every stage of the computation without, however, explicitly solving them. This feature results in both a decreased computational load and an increased solution accuracy. A numerical example is presented. |
| Author | CHOU, F. S. SIRISENA, H. R. |
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| Cites_doi | 10.1080/00207177308932558 10.1021/i160033a009 10.1080/00207176608921418 10.1090/qam/16705 10.1080/00207177208932159 10.1049/piee.1970.0267 10.1007/BF02788653 10.1021/i160025a024 10.1080/00207177308932601 10.1137/0710006 |
| ContentType | Journal Article |
| Copyright | Copyright Taylor & Francis Group, LLC 1978 |
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| References | BUTKOVSKY A. G. (CIT0002) 1969 CURRY H. B. (CIT0005) 1966; 17 LYNN L. L. (CIT0009) 1970; 9 PRABHU S. S. (CIT0011) 1970; 117 DENN M. M. (CIT0006) 1966; 4 SAGE A. P. (CIT0012) 1968 HOLLIDAY J. H. (CIT0008) 1973; 18 STROUD A. H. (CIT0014) 1971 CHAUDHURI S. P. (CIT0003) 1972; 15 SCHOENBERG I. J. (CIT0013) 1946; 4 GOLDFARB D. (CIT0007) 1968; 7 BOSARGE W. E. (CIT0001) 1973; 10 NEUMAN C. P. (CIT0010) 1973; 6 |
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| Title | Computation of optimal controls for non-linear distributed-parameter systems using multivariate spline functions |
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