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Modeling and simulation of nonlinear and adaptive observers

Author

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  • Hasenjaeger, E.
  • Koehne, M.

Abstract

This paper is concerned with methods of designing nonlinear state observers for polynomic systems, which can be modeled by state equations with linear, bilinear, and quadratic terms. The general structure of polynomic observers is introduced and simulation serves as a useful tool to determine the final observer parameters. In the case of polynomic systems and linear systems, where some of the parameters are unknown, the polynomic observer theory can also be applied for a combined estimation of states and parameters. Several examples are given to demonstrate the necessity of modeling and simulation for choosing the observer structure as well as for adjusting the observer parameters.

Suggested Citation

  • Hasenjaeger, E. & Koehne, M., 1983. "Modeling and simulation of nonlinear and adaptive observers," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 25(1), pages 17-26.
    • Handle: RePEc:eee:matcom:v:25:y:1983:i:1:p:17-26
    DOI: 10.1016/0378-4754(83)90025-3
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    Cited by:

    1. Sheikh Ahmad, A.I., 1985. "Simulation of a feedback and adaptive systems," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 27(4), pages 333-338.
    2. Rotella, Frédéric & Dauphin-Tanguy, Geneviève & Borne, Pierre, 1990. "Evaluation of the accuracy of analytic non-linear optimal control laws," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 31(6), pages 583-592.

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