Skip to main content
Log in

Successive approximation procedure for steady-state optimal control of bilinear systems

  • Contributed Papers
  • Published:
Journal of Optimization Theory and Applications Aims and scope Submit manuscript

Abstract

The optimum regulation problem of a bilinear system with a quadratic performance criterion is obtained in terms of a sequence of algebraic Lyapunov equations. The results are based on the method of successive approximations. The proof of convergence of the proposed scheme is given and the design procedure is illustrated by two examples.

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. Mohler, R. R.,Natural Bilinear Control Processes, Academic Press, New York, New York, 1973.

    Google Scholar 

  2. Mohler, R. R.,Nonlinear Systems: Applications to Bilinear Control, Prentice-Hall, Englewood Cliffs, New Jersey, 1991.

    Google Scholar 

  3. Mohler, R. R.,Natural Bilinear Control Processes, IEEE Transactions on Systems Science and Cybernetics, Vol. 6, pp. 192–197, 1970.

    Google Scholar 

  4. Bruni, C., DiPillo, G., andKoch, G.,Bilinear Systems: An Appealing Class of Nearly-Linear Systems in Theory and Applications, IEEE Transactions on Automatic Control, Vol. 19, pp. 334–348, 1974.

    Article  Google Scholar 

  5. Benallou, A., Mellichamp, D. A., andSeborg, D. E.,Optimal Stabilizing Controllers for Bilinear Systems, International Journal of Control, Vol. 48, pp. 1487–1501, 1988.

    MathSciNet  Google Scholar 

  6. Cebuhar, W. A., andCostanza, V.,Approximation Procedures for the Optimal Control of Bilinear Systems, Journal of Optimization Theory and Applications, Vol. 57, pp. 411–427, 1988.

    Google Scholar 

  7. Ying, Y., Rao, M., andShen, X.,Bilinear Decoupling Control of Large-Scale Systems, Proceedings of the American Control Conference, Chicago, Illinois, pp. 1163–1167, 1992.

  8. Gajic, Z., andShen, X.,Parallel Algorithms for Optimal Control of Large-Scale Systems, Springer Verlag, London, England, 1993.

    Google Scholar 

  9. Jacobson, D.,Extensions of Linear-Quadratic Control Systems, Springer Verlag, Berlin, Germany, 1980.

    Google Scholar 

  10. Bruni, C., Dipillo, G., andKoch, G.,On the Mathematical Models of Bilinear Systems, Ricerche di Automatica, Vol. 2, pp. 11–26, 1971.

    Google Scholar 

  11. Bittanti, S., Laub, A., andWillems, J., Editors,The Riccati Equation, Springer Verlag, Berlin, Germany, 1991.

    Google Scholar 

  12. Bellman, R. E.,Dynamic Programming, Princeton University Press, Princeton, New Jersey, 1957.

    Google Scholar 

  13. Bellman, R. E.,Adaptive Control Processes: A Guided Tour, Princeton University Press, Princeton, New Jersey, 1961.

    Google Scholar 

  14. Bellman, R. E.,Monotone Approximation in Dynamic Programming and Calculus of Variations, Proceedings of the National Academy of Science, Vol. 44, pp. 1073–1075, 1954.

    Google Scholar 

  15. Larson, R.,A Survey of Dynamic Programming Computational Procedures, IEEE Transactions on Automatic Control, Vol. 12, pp. 767–774, 1967.

    Article  Google Scholar 

  16. Vaisbord, E.,An Approximate Method for the Synthesis of Optimal Control, Automation and Remote Control, Vol. 24, pp. 1626–1632, 1963.

    Google Scholar 

  17. Kleinman, D.,On Iterative Techniques for Riccati Equation Computations, IEEE Transactions on Automatic Control, Vol. 13, pp. 114–115, 1968.

    Article  Google Scholar 

  18. Levine, M., andVilis, T.,On-Line Learning Optimal Control Using Successive Approximation Techniques, IEEE Transactions on Automatic Control, Vol. 19, pp. 279–284, 1973.

    Article  Google Scholar 

  19. Mageriou, E.,Iterative Techniques for Riccati Game Equations, Journal of Optimization Theory and Applications, Vol. 22, pp. 51–61, 1977.

    Article  Google Scholar 

  20. Leake, R., andLiu, R. W.,Construction of Suboptimal Control Sequences, SIAM Journal on Control, Vol. 5, pp. 54–63, 1967.

    Article  Google Scholar 

  21. Milshtein, G.,Successive Approximation for Solution of an Optimum Problem, Automation and Remote Control, Vol. 25, pp. 298–306, 1964.

    Google Scholar 

  22. Kleinman, D.,An Easy Way to Stabilize a Linear Constant System, IEEE Transactions on Automatic Control, Vol. 15, p. 692, 1970.

    Article  Google Scholar 

  23. Kirk, D.,Optimal Control Theory, Prentice-Hall, Englewood Cliffs, New Jersey, 1970.

    Google Scholar 

  24. Teo, K., Goh, C., andWong, K.,A Unified Computational Approach to Optimal Control Problems, Longman, New York, New York, 1991.

    Google Scholar 

  25. Aganovic, Z.,Optimal Reduced-Order Control of Singularly Perturbed and Weakly Coupled Bilinear Systems, Doctoral Dissertation, Rutgers University, 1993.

  26. Kantorovich, L., andAkilov, G.,Functional Analysis in Normed Spaces, Macmillan, New York, New York, 1964.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Additional information

Communicated by T. L. Vincent

Rights and permissions

Reprints and permissions

About this article

Cite this article

Aganovic, Z., Gajic, Z. Successive approximation procedure for steady-state optimal control of bilinear systems. J Optim Theory Appl 84, 273–291 (1995). https://doi.org/10.1007/BF02192115

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF02192115

Key Words

Navigation