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  • 1
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    Computational methods for the control of distributed parameter systems (1986)
    In:  CASI
    Details
    Publication Date: 2019-06-28
    Description: Finite dimensional approximation schemes that work well for distributed parameter systems are often not suitable for the analysis and implementation of feedback control systems. The relationship between approximation schemes for distributed parameter systems and their application to optimal control problems is discussed. A numerical example is given.
    Keywords: MATHEMATICAL AND COMPUTER SCIENCES (GENERAL)
    Type: NASA-CR-178108 , ICASE-86-32 , NAS 1.26:178108
    Format: application/pdf
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    NASA TECHNICAL REPORTS
  • 2
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    Factorization and reduction methods for optimal control of distributed parameter systems (1985)
    In:  CASI
    Details
    Publication Date: 2019-06-28
    Description: A Chandrasekhar-type factorization method is applied to the linear-quadratic optimal control problem for distributed parameter systems. An aeroelastic control problem is used as a model example to demonstrate that if computationally efficient algorithms, such as those of Chandrasekhar-type, are combined with the special structure often available to a particular problem, then an abstract approximation theory developed for distributed parameter control theory becomes a viable method of solution. A numerical scheme based on averaging approximations is applied to hereditary control problems. Numerical examples are given.
    Keywords: MATHEMATICAL AND COMPUTER SCIENCES (GENERAL)
    Type: NASA-CR-178033 , ICASE-85-58 , NAS 1.26:178033
    Format: application/pdf
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    NASA TECHNICAL REPORTS
  • 3
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    Chandrasekhar equations and computational algorithms for distributed parameter systems (1984)
    In:  CASI
    Details
    Publication Date: 2019-06-28
    Description: The Chandrasekhar equations arising in optimal control problems for linear distributed parameter systems are considered. The equations are derived via approximation theory. This approach is used to obtain existence, uniqueness, and strong differentiability of the solutions and provides the basis for a convergent computation scheme for approximating feedback gain operators. A numerical example is presented to illustrate these ideas.
    Keywords: MATHEMATICAL AND COMPUTER SCIENCES (GENERAL)
    Type: NASA-CR-172467 , ICASE-84-50 , NAS 1.26:172467
    Format: application/pdf
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    NASA TECHNICAL REPORTS
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