Skip to main content
Log in

Convergence of the gradient projection method in optimal control problems

  • Published:
Computational Mathematics and Modeling Aims and scope Submit manuscript

Abstract

The article examines the convergence of the popular gradient projection method for optimal control problems with fixed time and a free right-hand end point. General conditions are derived that substantiate weak convergence of the sequence of control iterations to the set of extremum controls satisfying Pontryagin’s maximum principle. Under stronger assumptions we prove strong convergence of the sequence in the Banach L 1-norm.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. L. S. Pontryagin and others, Mathematical Theory of Optimal Control Processes [in Russian], Nauka, Moscow (1969).

    Google Scholar 

  2. E. B. Lee and L. Markus, Foundations of Optimal Control Theory [Russian translation], Nauka, Moscow (1972).

    MATH  Google Scholar 

  3. A. F. Filippov, “Some issues of optimal control,” Vestnik MGU, Matem., Mekh., Astron., Fizika, Khimiya, No. 2, 25–32 (1959).

  4. F. P. Vasil’ev, Optimization Methods [in Russian], Faktorial, Moscow (2002).

    Google Scholar 

  5. A. N. Kolmogorov and S. V. Fomin, Elements of the Theory of Functions and Functional Analysis [in Russian], Nauka, Moscow (1989).

    MATH  Google Scholar 

  6. L. A. Lyusternik and V. I. Sobolev, Elements of Functional Analysis [in Russian], Nauka, Moscow (1965).

    Google Scholar 

  7. I. P. Natanson, Theory of Functions of Real Variable [in Russian], Gostekhizdat, Moscow (1957).

    Google Scholar 

  8. A. Visintin, “Strong convergence results related to strict convexity,” Comm. Partial Different. Equat., 9, 439–466 (1984).

    MATH  MathSciNet  Google Scholar 

  9. T. Rzezuchowski, “Strong convergence of selections implied by weak,” Bull. Austral. Math. Soc., 39, No. 2, 201–214 (1989).

    Article  MATH  MathSciNet  Google Scholar 

  10. B. N. Pshenichnyi, Convex Analysis and Extremum Problems [in Russian], Nauka, Moscow (1980).

    Google Scholar 

Download references

Authors

Additional information

__________

Translated from Nelineinaya Dinamika i Upravlenie, No. 3, pp. 139–148, 2003.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Nikol’skii, M.S. Convergence of the gradient projection method in optimal control problems. Comput Math Model 18, 148–156 (2007). https://doi.org/10.1007/s10598-007-0015-y

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10598-007-0015-y

Keywords

Navigation